This is the 23rd edition of the Haskell Communities and Activities Report. As usual, fresh entries are formatted using a blue background, while updated entries have a header with a blue background. Entries for which I received a liveness ping, but which have seen no essential update for a while, have been replaced with online pointers to previous versions. Other entries on which no new activity has been reported for a year or longer have been dropped completely. Please do revive such entries next time if you do have news on them.
A call for new entries and updates to existing ones will be issued on the Haskell mailing list in April. Now enjoy the current report and see what other Haskellers have been up to lately. Any feedback is very welcome, as always.
Janis Voigtländer, University of Bonn, Germany, <hcar at haskell.org>
|Report by:||Jason Dagit|
|Participants:||Ganesh Sittampalam, Edward Z. Yang, Vo Minh Thu, Mark Lentczner, Edward Kmett, Brent Yorgey|
The haskell.org committee is in its second year of operation managing the haskell.org infrastructure and money. The committee’s “home page” is at http://www.haskell.org/haskellwiki/Haskell.org_committee, and occasional publicity is via a blog (http://haskellorg.wordpress.com) and twitter account (http://twitter.com/#!/haskellorg) as well as the Haskell mailing list.
Since the last community report, the following has happened:
Haskell.org has now joined Software in the Public Interest (http://www.spi-inc.org). This allows haskell.org to accept donations as a US-based non-profit as well as pay for services with these donations. Currently, most of the money in the haskell.org account comes from GSoC participation.
We are currently in the process of establishing guidelines for fund raising and appropriate ways to spend funds. The main expense of haskell.org at this time is server hosting. The GSoC participant reimbursement is actually paid by Google and we do not consider this a normal expense as Google reimburses us for the full amount.
At the start of 2011 the haskell.org account had $7,261.73 USD, and by the end of the year the account balance was $13,056.32. The haskell.org expenses for 2011 include:
The haskell.org income for 2011 includes:
Note that the participant reimbursement paid by haskell.org matches the reimbursement given to haskell.org by Google. The haskell.org credits for 2011 include only GSoC payments of $9,316.41, leaving us with a balance of $13,056.32 at the end of 2011.
Haskell.org has the following server assets:
The haskell.org infrastructure is becoming more stable, but still suffers from occasional hiccups. While the extreme unreliability we saw for a while has improved with the reorganisation, the level of sysadmin resource/involvement is still inadequate. The committee is open to ideas on how to improve the situation.
With the task of incorporation behind us, the haskell.org committee can now focus on establishing guidelines around donations, fund raising, and appropriate uses of funds.
Haskellers is a site designed to promote Haskell as a language for use in the real world by being a central meeting place for the myriad talented Haskell developers out there. It allows users to create profiles complete with skill sets and packages authored and gives employers a central place to find Haskell professionals.
Since the May 2011 HCAR, Haskellers has added polls, which provides a convenient means of surveying a large cross-section of the active Haskell community. There are now over 1300 active accounts, versus 800 one year ago.
Haskellers remains a site intended for all members of the Haskell community, from professionals with 15 years experience to people just getting into the language.
|Report by:||Takayuki Muranushi|
An official translation of the book “Learn You a Haskell for Great Good!” by Miran Lipovaca (http://learnyouahaskell.com/) to Japanese is now available in stores.
The original book is an elaborate and popular introduction to the programming language Haskell. The reader will walk through the playland of Haskell decorated with funky examples and illustrations, and without noticing any difficulties, will become one with the core concepts of Haskell, say types, type classes, lazy evaluations, functors, applicatives and monads. The translators have added a short article on handling multi-byte strings in Haskell.
We are grateful to all the people’s work that made this wonderful book available in Japanese, including the publisher, our kind reviewers, and the original author Miran. We wish for prosperity of the Haskell community in Japan and in many countries, and for those who don’t read Japanese, we’d just like to let you know that we’re doing fine in Japan!
There are many academic papers about Haskell and many informative pages on the HaskellWiki. Unfortunately, there is not much between the two extremes. That is where The Monad.Reader tries to fit in: more formal than a wiki page, but more casual than a journal article.
There are plenty of interesting ideas that might not warrant an academic publication—but that does not mean these ideas are not worth writing about! Communicating ideas to a wide audience is much more important than concealing them in some esoteric journal. Even if it has all been done before in the Journal of Impossibly Complicated Theoretical Stuff, explaining a neat idea about “warm fuzzy things” to the rest of us can still be plain fun.
The Monad.Reader is also a great place to write about a tool or application that deserves more attention. Most programmers do not enjoy writing manuals; writing a tutorial for The Monad.Reader, however, is an excellent way to put your code in the limelight and reach hundreds of potential users.
Since the last HCAR there has been one new issue, featuring articles on Haskell error reporting, enumerating tuples and the MapReduce monad.
The collection of various Haskell mini tutorials and assorted small projects (http://okmij.org/ftp/Haskell/) has received three additions:
Type classes are so ingrained in Haskell that one can hardly think about the language without them. And yet, if we remove the type class declaration and the standard type classes, leaving the language with a single, fixed, pre-defined type class with a single method, no expressivity is lost. We can still write all Haskell98 type-class programming idioms including constructor classes, as well as multi-parameter type classes and even some functional dependencies. Adding the equality constraint gives us all functional dependencies, bounded existentials, and even associated data types. Besides clarifying the role of type classes as method bundles, we propose a simpler model of overloading resolution than that of Hall et al.
This mini-tutorial shows an example of how looking at the problem in a
different way turns it from impossible (at least, in System F) to
elementary, expressible in the Hindley-Milner system. The problem is about
selectors, such as tuple selectors:
fst :: forall a b. (a,b) -> a
snd :: forall a b. (a,b) -> b
The mini-tutorial first shows a brute-force solution, emulating the
necessary higher-rank polymorphism. Then we change the point of view:
we now represent the function as a ‘table’, ‘indexed’ by the selector
argument. This change of representation is quite like applying the
eta-rule for sums. In this new representation, the problem becomes
g' = (g_fst, g_snd)
g_fst = (fst (1,'b'), fst (True,"four"))
g_snd = (snd (1,'b'), snd (True,"four"))
fs g' = (fst g', (), snd g')
test = fs g'
A Haskell-Cafe message posed a problem of parameterizing a function by
a type class rather than by a type. Can we write the following two
definitions as a single polymorphic definition, eliminating the code
foo :: (Num c, Num d) =>
(forall b. Num b => a -> b) -> a -> (c, d)
foo f x = (f x, f x)
bar :: (Read c, Read d) =>
(forall b. Read b => a -> b) -> a -> (c, d)
bar f x = (f x, f x)
The only difference between |foo| and |bar| is the type class constraint: |Num| vs |Read|. The problem thus is to parameterize over constraints. The mini-tutorial develops the solution without resorting to the recently added Constraint kind, showing that first-class constraints have always been available in Haskell.
The type class Apply
class Apply l a b | l b -> a where
apply :: l -> a -> b
data LRead = LRead
instance Read b => Apply LRead String b where
apply _ = read
introduces the correspondence between constraints and ordinary types. For example, the shown instance maps the type |LRead| to the constraint |Read|. The type-class Apply also gets around higher-rank polymorphism; therefore, the types are inferrable. The mini-tutorial then explores the fact that the quantification over arbitrary type predicates (expressed as constraints) gives the unrestricted set comprehension.
The Haskell Platform (HP) is the name of the “blessed” set of libraries and tools on which to build further Haskell libraries and applications. It takes a core selection of packages from the more than 4500 on Hackage (→6.3.1). It is intended to provide a comprehensive, stable, and quality tested base for Haskell projects to work from.
Historically, GHC shipped with a collection of packages. For the last few years the task of shipping an entire platform has been transferred to the Haskell Platform.
The latest major version of the platform was released in June and includes GHC-7.4.1 and updates to tools like cabal and many libraries.
Mark Lentczner has taken over as the platform release manager, and has been doing a great job coordinating between package maintainers, and volunteers building the platform for different operating systems. Mark presented a status update and future plans at the recent Haskell implementors workshop. Mark also led an effort to rationalise our use of the haskell.org server resources.
Major releases take place on a 6 month cycle. The next release is due soon in mid November. It will be based on GHC-7.4.2. It includes three new libraries:
The timing of the GHC-7.6 release was such that we took the decision to go with 7.4.2. It is likely that the following platform release in the spring will use the by-then stable 7.6.x version. Haskell users need to get used to the idea that there will always be a significant lag between the latest major GHC release and when that version makes it into the latest stable platform release. This is due to the time to test and update other packages, and to get important fixes incorporated back into a GHC bug-fix release.
Our systems for coordinating and testing new releases remains too time consuming, involving too much manual work. Help from the community on automation would be very valuable.
While we did get several new packages into the platform this release, there are still improvements we could make to keep the process running smoothly. Mark and the platform steering committee will be proposing some modifications to lower the barrier to entry. Neverthless, we would still like to encourage package authors to propose new packages. This can be initiated at any time. We also invite the rest of the community to take part in the review process on the libraries mailing list <libraries at haskell.org>. The current procedure involves writing a package proposal and discussing it on the mailing list with the aim of reaching a consensus. Details of the procedure are on the development wiki.
We made a bug-fix release of GHC 7.4.2 in June, and a completely new release of GHC 7.6 in August. As well as the usual raft of general improvements, GHC 7.6 included some new features:
Here is what we have been up to in the last six months:
There is plenty more to do here, such as exploiting kind polymorphism to make a better |Typeable| class.
After having solved the problem of obtaining asymptotically work-efficient vectorisation , we are now turning to improving the constants in the DPH libraries, and in particular, to achieve more reliable fusion in the presence of segmented operations, folds, and parallelism. Ben Lippmeier has a few exciting ideas on major improvements in that direction that we will discuss in more detail once we have conducted more experiments. We plan to finish the new vectorisation-avoidance infrastructure in time for GHC 7.8, but the new fusion system will likely not be ready in time for that release.
Moreover, Trevor McDonell has made good progress in devising a novel fusion system for the embedded Accelerate GPU language. We hope to be able to release it around the same time as GHC 7.8.
There are three important improvements in the generated code. One is that let-no-escape functions are now compiled much more efficiently: a recursive let-no-escape now turns into a real loop in C--. The second improvement is that global registers (R1, R2, etc.) are now available for the register allocator to use within a function, provided they aren’t in use for argument passing. This means that there are more registers available for complex code sequences. The third improvement is that we have a new sinking pass that replaces the old “mini-inliner” from the native code generator, and is capable of optimisations that the old pass couldn’t do.
Hand-written C-- code can now be written in a higher-level style with real function calls, and most of the hand-written C-- code in the RTS has been converted into the new style. High-level C-- does not mention global registers such as R1 explicitly, nor does it manipulate the stack; all this is handled by the C-- code generator in GHC. This is more robust and simpler, and means that we no longer need a special calling-convention for primops — they now use the same calling convention as ordinary Haskell functions.
We’re interested in hearing about both performance improvements and regressions due to the new code generator.
As always there is far more to do than we can handle, and there is loads of space for people to contribute. Do join us!
|Report by:||Atze Dijkstra|
What do we currently do and/or has recently been completed? As part of the UHC project, the following (student) projects and other activities are underway (in arbitrary order):
Background.UHC actually is a series of compilers of which the last is UHC, plus infrastructure for facilitating experimentation and extension. The distinguishing features for dealing with the complexity of the compiler and for experimentation are (1) its stepwise organisation as a series of increasingly more complex standalone compilers, the use of DSL and tools for its (2) aspectwise organisation (called Shuffle) and (3) tree-oriented programming (Attribute Grammars, by way of the Utrecht University Attribute Grammar (UUAG) system (→5.3.3).
The FreeBSD Haskell Team is a small group of contributors who maintain Haskell software on all actively supported versions of FreeBSD. The primarily supported implementation is the Glasgow Haskell Compiler together with Haskell Cabal, although one may also find Hugs and NHC98 in the ports tree. FreeBSD is a Tier-1 platform for GHC (on both i386 and amd64) starting from GHC 6.12.1, hence one can always download vanilla binary distributions for each recent release.
We have a developer repository for Haskell ports that features around 400 ports of many popular Cabal packages. The updates committed to this repository are continuously integrated to the official ports tree on a regular basis. However, the FreeBSD Ports Collection already includes many popular and important Haskell software: GHC 7.4.1, Haskell Platform 2012.2.0.0, Gtk2Hs, wxHaskell, XMonad, Pandoc, Gitit, Yesod, Happstack, Snap, Agda, git-annex, and so on — all of them will be available as part of the soon-to-be-published FreeBSD 9.1-RELEASE.
If you find yourself interested in helping us or simply want to use the latest versions of Haskell programs on FreeBSD, check out our page at the FreeBSD wiki (see below) where you can find all important pointers and information required for use, contact, or contribution.
The Debian Haskell Group aims to provide an optimal Haskell experience to users of the Debian GNU/Linux distribution and derived distributions such as Ubuntu. We try to follow the Haskell Platform versions for the core package and package a wide range of other useful libraries and programs. At the time of writing, we maintain 500 source packages.
A system of virtual package names and dependencies, based on the ABI hashes, guarantees that a system upgrade will leave all installed libraries usable. Most libraries are also optionally available with profiling enabled and the documentation packages register with the system-wide index.
The stable Debian release (“squeeze”) provides the Haskell Platform 2010.1.0.0 and GHC 6.12, Debian testing (“wheezy”) and unstable (“sid”) contain the Platform version 2012.3.0.0 with GHC 7.4.1. Debian wheezy is currently frozen, so no new uploads to testing and unstable are happening at the moment. We are however working on the infrastructure: Full support for running hoogle to search all installed Haskell documentation is in the making.
Debian users benefit from the Haskell ecosystem on 13 architecture/kernel combinations, including the non-Linux-ports KFreeBSD and Hurd.
Gentoo Linux currently officially supports GHC 7.4.1, GHC 7.0.4 and GHC 6.12.3 on x86, amd64, sparc, alpha, ppc, ppc64 and some arm platforms.
The full list of packages available through the official repository can be viewed at http://packages.gentoo.org/category/dev-haskell?full_cat.
The GHC architecture/version matrix is available at http://packages.gentoo.org/package/dev-lang/ghc.
Please report problems in the normal Gentoo bug tracker at bugs.gentoo.org.
There is also an overlay which contains almost 800 extra unofficial and testing packages. Thanks to the Haskell developers using Cabal and Hackage (→6.3.1), we have been able to write a tool called “hackport” (initiated by Henning Günther) to generate Gentoo packages with minimal user intervention. Notable packages in the overlay include the latest version of the Haskell Platform (→3.1) as well as the latest 7.4.1 release of GHC, as well as popular Haskell packages such as pandoc, gitit, yesod (→5.2.6) and others.
As usual GHC 7.4 branch required some packages to be patched. For a 6 months period we have got about 150 patches waiting for upstream inclusion.
Over the time more and more people get involved in gentoo-haskell project which reflects positively on haskell ecosystem health status.
More information about the Gentoo Haskell Overlay can be found at http://haskell.org/haskellwiki/Gentoo. It is available via the Gentoo overlay manager “layman”. If you choose to use the overlay, then any problems should be reported on IRC (#gentoo-haskell on freenode), where we coordinate development, or via email <haskell at gentoo.org> (as we have more people with the ability to fix the overlay packages that are contactable in the IRC channel than via the bug tracker).
As always we are more than happy for (and in fact encourage) Gentoo users to get involved and help us maintain our tools and packages, even if it is as simple as reporting packages that do not always work or need updating: with such a wide range of GHC and package versions to co-ordinate, it is hard to keep up! Please contact us on IRC or email if you are interested!
For concrete tasks see our perpetual TODO list: https://github.com/gentoo-haskell/gentoo-haskell/blob/master/projects/doc/TODO.rst
|Report by:||Jens Petersen|
|Participants:||Lakshmi Narasimhan, Shakthi Kannan, Michel Salim, Ben Boeckel, and others|
The Fedora Haskell SIG works on providing good Haskell support in the Fedora Project Linux distribution.
Fedora 18 will ship in December with ghc-7.4.1 and haskell-platform-2012.2.0.0, and version updates also to many other packages. New packages added since the release of Fedora 17 include cabal-rpm, happstack-server, hledger, and a bunch of libraries. Cabal-rpm has been revamped to replace the previously used cabal2spec packaging shell-script.
At the time of writing there are now 205 Haskell source packages in Fedora. The Fedora package version numbers listed on the Hackage website refer to the latest branched version of Fedora (currently 18).
Fedora 19 work is starting now with ghc-7.4.2, haskell-platform-2012.4 and plans finally to package up Yesod.
If you want to help with package reviews and Fedora Haskell packaging, please join us on Freenode irc #fedora-haskell and our low-traffic mailing-list, or follow @fedorahaskell.
|Report by:||Nils Anders Danielsson|
|Participants:||Ulf Norell, Andreas Abel, and many others|
Agda is a dependently typed functional programming language (developed using Haskell). A central feature of Agda is inductive families, i.e. GADTs which can be indexed by values and not just types. The language also supports coinductive types, parameterized modules, and mixfix operators, and comes with an interactive interface—the type checker can assist you in the development of your code.
A lot of work remains in order for Agda to become a full-fledged programming language (good libraries, mature compilers, documentation, etc.), but already in its current state it can provide lots of fun as a platform for experiments in dependently typed programming.
The next version of Agda is still under development. Some of the changes were mentioned in the last HCAR entry. More recently Stevan Andjelkovic has contributed a LaTeX backend, with the aim to support both precise, Agda-style highlighting, and lhs2TeX-style alignment of code.
The Agda Wiki: http://wiki.portal.chalmers.se/agda/
MiniAgda is a tiny dependently-typed programming language in the style of Agda (→4.1). It serves as a laboratory to test potential additions to the language and type system of Agda. MiniAgda’s termination checker is a fusion of sized types and size-change termination and supports coinduction. Bounded size quantification and destructor patterns for a more general handling of coinduction. Equality incorporates eta-expansion at record and singleton types. Function arguments can be declared as static; such arguments are discarded during equality checking and compilation.
Recently, I have added more comfortable syntax for data type declarations and let-definitions. Data and codata types can now also be defined recursively. In the long run, I plan to evolve MiniAgda into a core language for Agda with termination certificates.
MiniAgda is available as Haskell source code and compiles with GHC 6.12.x – 7.4.1.
|Report by:||Ben Lippmeier|
|Participants:||Tran Ma, Amos Robinson, Erik de Castro Lopo|
|Status:||experimental, active development|
Disciple Core is an explicitly typed language based on System-F2, intended as an intermediate representation for a compiler. In addition to the polymorphism of System-F2 it supports region, effect and closure typing. Evaluation order is left-to-right call-by-value by default, but explicit lazy evaluation is also supported. The language includes a capability system to track whether objects are mutable or constant, and to ensure that computations that perform visible side effects are not suspended with lazy evaluation.
The Disciplined Disciple Compiler (DDC) is being rewritten to use the redesigned Disciple Core language. This new DDC is at a stage where it will parse and type-check core programs, and compile first-order functions over lists to executables via C or LLVM backends. There is also an interpreter that supports the full language.
We are currently fixing bugs in preparation for a release at the end of November.
|Report by:||Sebastian Erdweg|
|Participants:||Tillmann Rendel, Felix Rieger, Klaus Ostermann|
SugarHaskell is a generic extension of Haskell that enables programmers to define and use flexible syntactic extensions of Haskell. SugarHaskell extensions are organized as regular libraries, which define an extended syntax and a transformation of the extended syntax into Haskell’s base syntax (or an extension thereof). To activate an extension, a SugarHaskell programmer simply imports the library that defines the extension; the extension is active in the remainder of the current file. Our Haskell Symposium paper  contains numerous examples, including arrow notation and, as illustrated in the following, idiom brackets:
instance Traversable Tree where
traverse f Leaf = (| Leaf |)
traverse f (Node l x r) =
(| Node (traverse f l) (f x) (traverse f r) |)
The library |Control.Applicative.IdiomBrackets| provides a syntactic extension for programming with applicatives, using idiomatic brackets |(|| ... ||)|. Uses of idiom brackets are desugared in-place to produce plain Haskell code. Generally, the usage of syntactic extensions in a program is transparent to its clients.
SugarHaskell provides both a compiler and an Eclipse-based IDE. The SugarHaskell compiler is available as a Hackage package  and can be easily installed using cabal-install. Since our system is implemented in Java, the SugarHaskell package requires a preinstalled Java runtime. Moreover, we distribute the source code via github, and involvement of others is welcome. The SugarHaskell IDE is available as an Eclipse plugin and can be installed from our Eclipse update site . The IDE provides some standard editor services such as code coloring or outlining for Haskell, and is also extensible itself to accommodate user-defined editor services for SugarHaskell extensions.
SugarHaskell is a research prototype that is under active development. We work both on the implementation and the conceptional foundation of the system. The feedback cycle is short and any feedback is appreciated.
|Report by:||Rita Loogen|
in Madrid: Yolanda Ortega-Mallén,
Mercedes Hidalgo, Lidia Sanchez-Gil, Fernando Rubio, Alberto de la Encina,
in Marburg: Mischa Dieterle, Thomas Horstmeyer, Oleg Lobachev,
in Copenhagen: Jost Berthold
Eden extends Haskell with a small set of syntactic constructs for explicit process specification and creation. While providing enough control to implement parallel algorithms efficiently, it frees the programmer from the tedious task of managing low-level details by introducing automatic communication (via head-strict lazy lists), synchronization, and process handling.
Eden’s primitive constructs are process abstractions and process instantiations. The Eden logo consists of four λ turned in such a way that they form the Eden instantiation operator (#). Higher-level coordination is achieved by defining skeletons, ranging from a simple parallel map to sophisticated master-worker schemes. They have been used to parallelize a set of non-trivial programs.
Eden’s interface supports a simple definition of arbitrary communication topologies using Remote Data. A PA-monad enables the eager execution of user defined sequences of Parallel Actions in Eden.
Rita Loogen, Yolanda Ortega-Mallén, and Ricardo Peña: Parallel Functional Programming in Eden, Journal of Functional Programming 15(3), 2005, pages 431–475.
Rita Loogen: Eden - Parallel Functional Programming in Haskell,
in: V. Zsok, Z. Horvath, and R. Plasmeijer (Eds.): CEFP 2011, Springer LNCS 7241, 2012, pp. 142-206.
(see also: http://www.mathematik.uni-marburg.de/~eden/?content=cefp)
Eden is implemented by modifications to the Glasgow-Haskell Compiler (extending its runtime system to use multiple communicating instances). Apart from MPI or PVM in cluster environments, Eden supports a shared memory mode on multicore platforms, which uses multiple independent heaps but does not depend on any middleware. Building on this runtime support, the Haskell package edenmodules defines the language, and edenskels provides libraries of parallel skeletons.
The current stable release of the Eden compiler is based on GHC 7.4.2. Binary packages and source code are available on our web pages, the Eden libraries (Haskell-level) are also available via Hackage.
A newer variant based on GHC-7.6.1 (and matching Eden libraries) are available as source code via git repositories at http://james.mathematik.uni-marburg.de:8080/gitweb. We plan the next full release of Eden with the next (minor or major) GHC release.
The Eden trace viewer tool EdenTV provides a visualisation of Eden program runs on various levels. Activity profiles are produced for processing elements (machines), Eden processes and threads. In addition message transfer can be shown between processes and machines. EdenTV is written in Haskell and is freely available on the Eden web pages and on hackage.
The Eden skeleton library is under constant development. Currently it contains various skeletons for parallel maps, workpools, divide-and-conquer, topologies and many more. Take a look on the Eden pages.
|Report by:||Hans-Wolfgang Loidl|
|Participants:||Phil Trinder, Patrick Maier, Mustafa Aswad, Malak Aljabri, Evgenij Belikov, Pantazis Deligianis, Robert Stewart, Prabhat Totoo (Heriot-Watt University); Kevin Hammond, Vladimir Janjic, Chris Brown (St Andrews University)|
A distributed-memory, GHC-based implementation of the parallel Haskell extension GpH and of a fundamentally revised version of the evaluation strategies abstraction is available in a prototype version. In current research an extended set of primitives, supporting hierarchical architectures of parallel machines, and extensions of the runtime-system for supporting these architectures are being developed.
We have been extending the set of primitives for parallelism in GpH, to provide enhanced control of data locality in GpH applications. Results from applications running on up to 256 cores of our Beowulf cluster demonstrate significant improvements in performance when using these extensions.
In the context of the SICSA MultiCore Challenge, we are comparing the performance of several parallel Haskell implementations (in GpH and Eden) with other functional implementations (F#, Scala and SAC) and with implementations produced by colleagues in a wide range of other parallel languages. The latest challenge application was the n-body problem. A summary of this effort is available on the following web page, and sources of several parallel versions will be uploaded shortly: http://www.macs.hw.ac.uk/sicsawiki/index.php/MultiCoreChallenge.
New work has been launched into the direction of inherently parallel data structures for Haskell and using such data structures in symbolic applications. This work aims to develop foundational building blocks in composing parallel Haskell applications, taking a data-centric point of view. Current work focuses on data structures such as append-trees to represent lists and quad-trees in an implementation of the n-body problem.
Another strand of development is the improvement of the GUM runtime-system to better deal with hierarchical and heterogeneous architectures, that are becoming increasingly important. We are revisiting basic resource policies, such as those for load distribution, and are exploring modifications that provide enhanced, adaptive behaviour for these target platforms.
As part of the SCIEnce EU FP6 I3 project (026133) (April 2006 – December 2011) and the HPC-GAP project (October 2009 – September 2013) we use Eden, GpH and HdpH as middleware to provide access to computational Grids from Computer Algebra (CA) systems, in particular GAP. We have developed and released SymGrid-Par, a Haskell-side infrastructure for orchestrating heterogeneous computations across high-performance computational Grids. Based on this infrastructure we have developed a range of domain-specific parallel skeletons for parallelising representative symbolic computation applications. A Haskell-side interface to this infrastructures is available in the form of the Computer Algebra Shell CASH, which is downloadable from Hackage. We are currently extending SymGrid-Par with support for fault-tolerance, targeting massively parallel high-performance architectures.
The latest GUM implementation of GpH is built on GHC 6.12, using either PVM or MPI as communications library. It implements a virtual shared memory abstraction over a collection of physically distributed machines. At the moment our main hardware platforms are Intel-based Beowulf clusters of multicores. We plan to connect several of these clusters into a wide-area, hierarchical, heterogenous parallel architecture.
<gph at macs.hw.ac.uk>
|Report by:||Duncan Coutts|
|Participants:||Duncan Coutts, Andres Löh, Mikolaj Konarski, Edsko de Vries|
Microsoft Research funded a 2-year project, which is now coming to an end, to promote the real-world use of parallel Haskell. The project involved industrial partners working on their own tasks using parallel Haskell, and consulting and engineering support from Well-Typed (→8.1). The overall goal has been to demonstrate successful serious use of parallel Haskell, and along the way to apply engineering effort to any problems with the tools that the organisations might run into. In addition we have put significant engineering work into a new implementation of Cloud Haskell.
The participating organisations are working on a diverse set of complex real world problems:
As the project winds down, we will be publishing more details about the outcomes of these projects.
On the engineering side, the two main areas of focus in the project recently have been ThreadScope and Cloud Haskell.
ThreadScope.The latest release of ThreadScope (version 0.2.2) provides detailed statistics about heap and GC behaviour. It is much like the output that can be obtained by running your program with +RTS -s but presented in a more friendly way and with the ability to see the same statistics for any period within the program, not just the entire program run. This work could be extended to show graphs of the heap size over time. Compared to GHC’s traditional heap profiling this does not require recompiling in profiling mode and is very low overhead, but what is lost is the detailed breakdown of the heap by type, cost centre or retainer.
In addition there is a new feature to emit phase markers from user code and have these visualised in the ThreadScope timeline window.
These new features rely on the development version of GHC, and so will become generally available with GHC-7.8.
Finally, there is an alpha release of an ambitious new feature to integrate data from Linux’s “perf” system into ThreadScope. The Linux “perf” system lets us see events in the OS such as system calls and other internal kernel trace points, and also to collect detailed CPU performance counters. Our work has focused on capturing and transforming this data source, and integrating it with the existing RTS event tracing system which we believe will enable many useful new visualisations. Our initial new visualisation in ThreadScope lets us see when system calls are occurring. We hope that this and other future work in this area will help developers who are trying to optimise the performance of applications like network servers.
Cloud Haskell.For about the last year we have been working on a new implementation of Cloud Haskell. This is the same idea for concurrent distributed programming in Haskell that Simon Peyton Jones has been telling everyone about, but it’s a new implementation designed to be robust and flexible.
The summary about the new implementation is that it exists, it works, it’s on hackage, and we think it is now ready for serious experiments.
Compared to the previous prototype:
By the time you read this, we will have also released a backend for the Windows Azure cloud platform. Backends for other environments should be relatively straightforward to develop.
Further details including papers, videos and blog posts are on the Cloud Haskell homepage.
|Report by:||Romain Demeyer|
This PhD project targets the detection of concurrency bugs in STM Haskell. We focus on static analysis, i.e., we try to find errors by analyzing the source code of the program without executing it. Specifically, we target what we call application-level bugs, i.e., when the shared memory becomes inconsistent with respect to the design of the application because of an unexpected interleaving of the threads that access the memory. Our approach is to check that each transaction of the program preserves a given user-defined consistency property.
We have already defined, formalized and developed a framework of verification and, now, we try to evaluate which range of concurrency bugs we are able to detect. The ongoing work also includes the implementation of a prototype and the research in order to reduce the number of annotations the programmer has to provide for running the analysis.
Please feel free to contact me at email@example.com for further information.
The Web Application Interface (WAI) is an interface between Haskell web applications and Haskell web servers. By targeting the WAI, a web framework or web application gets access to multiple deployment platforms. Platforms in use include CGI, the Warp web server, and desktop webkit.
Since the last HCAR, WAI has switched to conduits (→7.1.1). WAI also added a vault parameter to the request type to allow middleware to store arbitrary data.
WAI is also a platform for re-using code between web applications and web frameworks through WAI middleware and WAI applications. WAI middleware can inspect and transform a request, for example by automatically gzipping a response or logging a request.
By targeting WAI, every web framework can share WAI code instead of wasting effort re-implementing the same functionality. There are also some new web frameworks that take a completely different approach to web development that use WAI, such as webwire (FRP) and dingo (GUI). Since the last HCAR, another web framework called Scotty was released. WAI applications can send a response themselves. For example, wai-app-static is used by Yesod to serve static files. However, one does not need to use a web framework, but can simply build a web application using the WAI interface alone. The Hoogle web service targets WAI directly.
The WAI standard has proven itself capable for different users and there are no outstanding plans for changes or improvements.
Warp is a high performance, easy to deploy HTTP server backend for WAI (→5.2.1). Since the last HCAR, Warp has switched from enumerators to conduits (→7.1.1), added SSL support, and websockets integration.
Due to the combined use of ByteStrings, blaze-builder, conduit, and GHC’s improved I/O manager, WAI+Warp has consistently proven to be Haskell’s most performant web deployment option.
Warp is actively used to serve up most of the users of WAI (and Yesod).
“Warp: A Haskell Web Server” by Michael Snoyman was published in the May/June 2011 issue of IEEE Internet Computing:
|Report by:||Uwe Schmidt|
|Participants:||Timo B. Kranz, Sebastian Gauck, Stefan Schmidt|
The Holumbus framework consists of a set of modules and tools for creating fast, flexible, and highly customizable search engines with Haskell. The framework consists of two main parts. The first part is the indexer for extracting the data of a given type of documents, e.g., documents of a web site, and store it in an appropriate index. The second part is the search engine for querying the index.
An instance of the Holumbus framework is the Haskell API search engine Hayoo! (http://holumbus.fh-wedel.de/hayoo/).
The framework supports distributed computations for building indexes and searching indexes. This is done with a MapReduce like framework. The MapReduce framework is independent of the index- and search-components, so it can be used to develop distributed systems with Haskell.
The framework is now separated into four packages, all available on Hackage.
The search engine package includes the indexer and search modules, the MapReduce package bundles the distributed MapReduce system. This is based on two other packages, which may be useful for their on: The Distributed Library with a message passing communication layer and a distributed storage system.
Currently there are activities to optimize the index structures of the framework. In the past there have been problems with the space requirements during indexing. The data structures and evaluation strategies have been optimized to prevent space leaks. A second index structure working with cryptographic keys for document identifiers is under construction. This will further simplify partial indexing and merging of indexes.
There is a small project extracting the sources of the data structure used for the index to build a separate package. The search tree used in Holumbus is a space optimised version of a radix tree, which enables fast prefix and fuzzy search.
The second project, a specialized search engine for the FH-Wedel web site, has been finished http://w3w.fh-wedel.de/. The new aspect in this application is a specialized free text search for appointments, deadlines, announcements, meetings and other dates.
The Hayoo! and the FH-Wedel search engine have been adopted to run on top of the Snap framework (→5.2.7).
The Holumbus web page (http://holumbus.fh-wedel.de/) includes downloads, Git web interface, current status, requirements, and documentation. Timo Kranz’s master thesis describing the Holumbus index structure and the search engine is available at http://holumbus.fh-wedel.de/branches/develop/doc/thesis-searching.pdf. Sebastian Gauck’s thesis dealing with the crawler component is available at http://holumbus.fh-wedel.de/src/doc/thesis-indexing.pdf The thesis of Stefan Schmidt describing the Holumbus MapReduce is available via http://holumbus.fh-wedel.de/src/doc/thesis-mapreduce.pdf.
Happstack is a fast, modern framework for creating web applications. Happstack is well suited for MVC and RESTful development practices. We aim to leverage the unique characteristics of Haskell to create a highly-scalable, robust, and expressive web framework.
Happstack pioneered type-safe Haskell web programming, with the creation of technologies including web-routes (type-safe URLS) and acid-state (native Haskell database system). We also extended the concepts behind formlets, a type-safe form generation and processing library, to allow the separation of the presentation and validation layers.
Some of Happstack’s unique advantages include:
A recent addition to the Happstack family is the happstack-foundation library. It combines what we believe to be the best choices into a nicely integrated solution. happstack-foundation uses:
Happstack is the oldest, actively developed Haskell web framework. We are continually studying and applying new ideas to keep Happstack fresh. By the time the next release is complete, we expect very little of the original code will remain. If you have not looked at Happstack in a while, we encourage you to come take a fresh look at what we have done.
Some of the projects we are currently working on include:
One focus of Happstack development is to create independent libraries that can be easily reused. For example, the core web-routes and reform libraries are in no way Happstack specific and can be used with other Haskell web frameworks. Additionally, libraries that used to be bundled with Happstack, such as IxSet, SafeCopy, and acid-state, are now independent libraries. The new backend will also be available as an independent library.
When possible, we prefer to contribute to existing libraries rather than reinvent the wheel. For example, our preferred templating library, HSP, was created by and is still maintained by Niklas Broberg. However, a significant portion of HSP development in the recent years has been fueled by the Happstack team.
We are also working directly with the Fay team to bring an improved type-safety to client-side web programming. In addition to the new happstack-fay integration library, we are also contributing directly to Fay itself.
For more information check out the happstack.com website — especially the “Happstack Philosophy” and “Happstack 8 Roadmap”.
|Report by:||Kazu Yamamoto|
|Status:||open source, actively developed|
Mighttpd (called mighty) version 2 is a simple but practical Web server in Haskell. It is now working on Mew.org serving static files, CGI (mailman and contents search) and reverse proxy for back-end Yesod applications.
Mighttpd is based on Warp providing performance on par with nginx. You can use the mightyctl command to reload configuration files dynamically and shutdown Mighttpd gracefully.
You can install Mighttpd 2 (mighttpd2) from HackageDB.
|Report by:||Greg Weber|
|Participants:||Michael Snoyman, Luite Stegeman, Felipe Lessa|
Yesod is a traditional MVC RESTful framework. By applying Haskell’s strengths to this paradigm, we have created a web framework that helps users create highly scalable web applications.
Performance scalablity comes from the amazing GHC compiler and runtime. GHC provides fast code and built-in evented asynchronous IO.
But Yesod is even more focused on scalable development. The key to achieving this is applying Haskell’s type-safety to an otherwise traditional MVC REST web framework.
Of course type-safety guarantees against typos or the wrong type in a function. But Yesod cranks this up a notch to guarantee common web application errors won’t occur.
When type safety conflicts with programmer productivity, Yesod is not afraid to use Haskell’s most advanced features of Template Haskell and quasi-quoting to provide Easier development for its users. In particular, these are used for declarative routing, declarative schemas, and compile-time templates.
MVC stands for model-view-controller. The preferred library for models is Persistent (→7.7.2). View can be handled by the Shakespeare family of compile-time template languages. This includes Hamlet, which takes the tedium out of HTML. Both of these libraries are optional, and you can use any Haskell alternative. Controllers are invoked through declarative routing. Their return type shows which response types are allowed for the request.
Yesod is broken up into many smaller projects and leverages Wai (→5.2.1) to communicate with the server. This means that many of the powerful features of Yesod can be used in different web development stacks.
Yesod finally reached its 1.0 version. The last HCAR entry was for the 0.8 version. Some of the major changes since then are:
We are excited to have achieved a 1.0 release. This signifies maturity and API stability and a web framework that gives developers all the tools they need for productive web development. Future directions for Yesod are now largely driven by community input and patches. Easier client-side interaction is definitely one concern that Yesod is working on going forward. The 1.0 release features better coffeescript support and even roy.js support
The Yesod site (http://www.yesodweb.com/) is a great place for information. It has code examples, screencasts, the Yesod blog and — most importantly — a book on Yesod.
|Report by:||Doug Beardsley|
|Participants:||Gregory Collins, Shu-yu Guo, James Sanders, Carl Howells, Shane O’Brien, Ozgun Ataman, Chris Smith, Jurrien Stutterheim, Gabriel Gonzalez, and others|
The Snap Framework is a web application framework built from the ground up for speed, reliability, and ease of use. The project’s goal is to be a cohesive high-level platform for web development that leverages the power and expressiveness of Haskell to make building websites quick and easy.
The Snap Framework has seen one major release (0.9) since the last HCAR. Some of the major features added are support for choosing different configurations based on user-specified execution environments (such as production or development), an improved project template demonstrating use of the session and auth snaplets, new functions allowing you to retrieve socket information for a running server, and of course a number of other bug fixes and minor features.
Another piece of exciting news is that we recently received funding for paid Snap development. We’re using it to get another paid developer working with the core Snap team to write better and more comprehensive documentation and help with some specific implementation tasks.
Since the last HCAR we have done a LOT of behind-the-scenes work on some big improvements that will be coming out in upcoming releases. In keeping with our tradition, we’re taking our time with these features to make sure they measure up to the high quality that Snap users have come to expect. When these features are finished Snap will have more than two and a half years of development, and we think it will be worthy of a 1.0 release.
MateVM is a method-based Java Just-In-Time Compiler. That is, it compiles a method to native code on demand (i.e. on the first invocation of a method). We use existing libraries:
While we are currently able to execute simple Java programs, many features are missing for a full JavaVM, most noteable are Classloader, Floating Point or Threads. We would like to use GNU Classpath as base library some day. Other hot topics are Hoopl and Garbage Collection at the moment. In the long-run, we would like to implement features known from adaptive compilation, e.g. method inlining or stack allocation of objects.
If you are interested in this project, do not hestiate to join us on IRC (#MateVM @ OFTC) or contact us on Github.
|Report by:||Marcos Viera|
|Participants:||Doaitse Swierstra, Arthur Baars, Arie Middelkoop, Atze Dijkstra, Wouter Swierstra|
CoCoCo (Compositional Compiler Construction) is a set of libraries and tools in the form of a collection of embedded domain specific languages (EDSL) in Haskell for constructing extensible compilers, where compilers can be composed out of separately compiled and statically type checked language-definition fragments.
Our approach builds on:
As a case study we have implemented an Oberon0 compiler, which is available as a Hackage package:
|Report by:||Jeroen Bransen|
|Participants:||ST Group of Utrecht University|
UUAG is the Utrecht University Attribute Grammar system. It is a preprocessor for Haskell that makes it easy to write catamorphisms, i.e., functions that do to any data type what foldr does to lists. Tree walks are defined using the intuitive concepts of inherited and synthesized attributes, while keeping the full expressive power of Haskell. The generated tree walks are efficient in both space and time.
An AG program is a collection of rules, which are pure Haskell functions between attributes. Idiomatic tree computations are neatly expressed in terms of copy, default, and collection rules. Attributes themselves can masquerade as subtrees and be analyzed accordingly (higher-order attribute). The order in which to visit the tree is derived automatically from the attribute computations. The tree walk is a single traversal from the perspective of the programmer.
Nonterminals (data types), productions (data constructors), attributes, and rules for attributes can be specified separately, and are woven and ordered automatically. These aspect-oriented programming features make AGs convenient to use in large projects.
The system is in use by a variety of large and small projects, such as the Utrecht Haskell Compiler UHC (→3.3), the editor Proxima for structured documents (http://www.haskell.org/communities/05-2010/html/report.html#sect6.4.5), the Helium compiler (http://www.haskell.org/communities/05-2009/html/report.html#sect2.3), the Generic Haskell compiler, UUAG itself, and many master student projects. The current version is 0.9.42.1 (November 2012), is extensively tested, and is available on Hackage. There is also a Cabal plugin for easy use of AG files in Haskell projects. Recently, we have improved the building procedure to make sure that the UUAGC can both be built from source as well as from the included generated Haskell sources, without the need of an external bootstrap program. Also, we added code generation for Ocaml.
We are working on the following enhancements of the UUAG system:
|Report by:||Marcos Viera|
|Participants:||Doaitse Swierstra, Wouter Swierstra|
|Report by:||Brett G. Giles|
|Participants:||Dr. J.R.B. Cockett and Rajika Kumarasiri|
|Status:||v 0.9.0 experimental released in July 2012|
LQPL (Linear Quantum Programming Language) is a functional quantum programming language inspired by Peter Selinger’s paper “Towards a Quantum Programming Language”.
The LQPL system consists of a compiler, a GUI based front end and an emulator. Compiled programs are loaded to the emulator by the front end. LQPL incorporates a simple module / include system (more like C’s include than Haskell’s import), predefined unitary transforms, quantum control and classical control, algebraic data types, and operations on purely classical data.
The largest difference since the previous release of the package is that LQPL is now split into separate components. These consist of:
A screenshot of the new interface (showing a probabilistic list) is included below.
Quantum programming allows us to provide a fair coin toss, as shown in the code example below.
Separation into modules was a preparatory step for improving the performance of the emulator and adding optimization features to the language.
Documentation and executable downloads may be found at http://pll.cpsc.ucalgary.ca/lqpl/index.html. The source code, along with a wiki and bug tracker, is available at https://bitbucket.org/BrettGilesUofC/lqpl.
|Report by:||JP Moresmau|
|Participants:||building on code from B. Scott Michel, Alejandro Serrano, Thiago Arrais, Leif Frenzel, Thomas ten Cate, Martijn Schrage, Adam Foltzer and others|
|Status:||stable, maintained, and actively developed|
EclipseFP is a set of Eclipse plugins to allow working on Haskell code projects. Its goal is to offer a fully featured Haskell IDE in a platform developers coming from other languages may already be familiar with. It features Cabal integration (.cabal file editor, uses Cabal settings for compilation, allows the user to install Cabal packages from within the IDE), and GHC integration. Compilation is done via the GHC API, syntax coloring uses the GHC Lexer. Other standard Eclipse features like code outline, folding, and quick fixes for common errors are also provided. HLint suggestions can be applied in one click. EclipseFP also allows launching GHCi sessions on any module including extensive debugging facilities: the management of breakpoints and the evaluation of variables and expressions uses the Eclipse debugging framework, and requires no knowledge of GHCi syntax. It uses the BuildWrapper Haskell tool to bridge between the Java code for Eclipse and the Haskell APIs. It also provides a full package and module browser to navigate the Haskell packages installed on your system, integrated with Hackage. The source code is fully open source (Eclipse License) on github and anyone can contribute. Current version is 2.3.2, released in October 2012 and supporting GHC 7.0 and above, and more versions with additional features are planned and actively worked on. Feedback on what is needed is welcome! The website has information on downloading binary releases and getting a copy of the source code. Support and bug tracking is handled through Sourceforge forums.
|Report by:||Kazu Yamamoto|
|Status:||open source, actively developed|
ghc-mod is a backend command to enrich Haskell programming on editors including Emacs and Vim. The ghc-mod package on Hackage includes the ghc-mod command and Emacs front-end.
Emacs front-end provides the following features:
There are two Vim plugins:
ghc-mod now supports GHC 7.6.
Heat is an interactive development environment (IDE) for learning and teaching Haskell. Heat was designed for novice students learning the functional programming language Haskell. Heat provides a small number of supporting features and is easy to use. Heat is distributed as a single, portable Java jar-file and works on top of GHCi.
Heat provides the following features:
Darcs is a distributed revision control system written in Haskell. In Darcs, every copy of your source code is a full repository, which allows for full operation in a disconnected environment, and also allows anyone with read access to a Darcs repository to easily create their own branch and modify it with the full power of Darcs’ revision control. Darcs is based on an underlying theory of patches, which allows for safe reordering and merging of patches even in complex scenarios. For all its power, Darcs remains a very easy to use tool for every day use because it follows the principle of keeping simple things simple.
Our most recent release, Darcs 2.8.2, was in September 2012. Some key changes in Darcs 2.8 include a faster and more readable darcs annotate, a darcs obliterate -O which can be used to conveniently “stash” patches, and hunk editing for the darcs revert command.
We have some fairly exciting work merged into mainline Darcs for the next release. First, we have a new rebase feature which should be a great help for darcs users that maintain long-term and conflict prone branches. The new rebase feature will also be useful for some more day to day use cases such as the “deep amend-record” feature many of us have long wished for, or even just more basic patch cleanups and reorganisation. Second, the 2012 Google Summer of Code project by BSRK Aditya has been successful, with the long-promised patch index optimisation now merged into mainline. The patch index will help Darcs users who need to search for changes to specific files within a large number of patches (particularly relevant to darcs hosting sites).
More generally, our work has emphasised two of our key priorities: code quality and Darcs hosting. For code quality we have embarked on an overhaul of our module organisation along with work towards deeper refactors such as abstracting over the use of IO to better capture some of our darcs-specific state.
Darcs hosting is also a hot area in Darcs development. Simon Michael has pushed forward development of the original Darcsden code by Alex Suraci, resulting in the recent darcsden 1.0 release (September 2012) and new public host http://hub.darcs.net. Feedback and help pushing forward this new Darcs hosting option will be greatly appreciated!
Darcs is free software licensed under the GNU GPL (version 2 or greater). Darcs is a proud member of the Software Freedom Conservancy, a US tax-exempt 501(c)(3) organization. We accept donations at http://darcs.net/donations.html.
DarcsWatch is a tool to track the state of Darcs (→6.2.1) patches that have been submitted to some project, usually by using the darcs send command. It allows both submitters and project maintainers to get an overview of patches that have been submitted but not yet applied.
DarcsWatch continues to be used by the xmonad project (→7.8.2), the Darcs project itself, and a few developers. At the time of writing (November 2012), it was tracking 39 repositories and 4552 patches submitted by 238 users.
|Report by:||Kazu Yamamoto|
|Status:||open source, actively developed|
cab is a MacPorts-like maintenance command of Haskell cabal packages. Some parts of this program are a wrapper to ghc-pkg, cabal, and cabal-dev.
If you are always confused due to inconsistency of ghc-pkg and cabal, or if you want a way to check all outdated packages, or if you want a way to remove outdated packages recursively, this command helps you.
cab now provides the “ghci” subcommands.
Cabal is the standard packaging system for Haskell software. It specifies a standard way in which Haskell libraries and applications can be packaged so that it is easy for consumers to use them, or re-package them, regardless of the Haskell implementation or installation platform.
Hackage is a distribution point for Cabal packages. It is an online archive of Cabal packages which can be used via the website and client-side software such as cabal-install. Hackage enables users to find, browse and download Cabal packages, plus view their API documentation.
cabal-install is the command line interface for the Cabal and Hackage system. It provides a command line program cabal which has sub-commands for installing and managing Haskell packages.
The Cabal packaging system has always faced growing pains. We have been through several cycles where we’ve faced chronic problems, made major improvements which bought us a year or two’s breathing space while package authors and users become ever more ambitious and start to bump up against the limits again. In the last few years we have gone from a situation where 10 dependencies might be considered a lot, to a situation now where the major web frameworks have a 100+ dependencies and we are again facing chronic problems.
The Cabal/Hackage maintainers and contributors have been pursuing a number of projects to address these problems:
The IHG sponsored Well-Typed (→8.1) to work on cabal-install resulting in a new package dependency constraint solver. This was incorporated into the cabal-install-0.14 release in the spring, and which is now in the latest Haskell Platform release. The new dependency solver does a much better job of finding install plans. In addition the cabal-install tool now warns when installing new packages would break existing packages, which is a useful partial solution to the problem of breaking packages.
We had two Google Summer of Code projects on Cabal this year, focusing on solutions to other aspects of our current problems. The first is a project by Mikhail Glushenkov (and supervised by Johan Tibell) to incorporate sandboxing into cabal-install. In this context sandboxing means that we can have independent sets of installed packages for different projects. This goes a long way towards alleviating the problem of different projects needing incompatible versions of common dependencies. There are several existing tools, most notably cabal-dev, that provide some sandboxing facility. Mikhail’s project was to take some of the experience from these existing tools (most of which are implemented as wrappers around the cabal-install program) and to implement the same general idea, but properly integrated into cabal-install itself. We expect the results of this project will be incorporated into a cabal-install release within the next few months.
The other Google Summer of Code project this year, by Philipp Schuster (and supervised by Andres Löh), is also aimed at the same problem: that of different packages needing inconsistent versions of the same common dependencies, or equivalently the current problem that installing new packages can break existing installed packages. The solution is to take ideas from the Nix package manager for a persistent non-destructive package store. In particular it lifts an obscure-sounding but critical limitation: that of being able to install multiple instances of the same version of a package, built against different versions of their dependencies. This is a big long-term project. We have been making steps towards it for several years now. Philipp’s project has made another big step, but there’s still more work before it is ready to incorporate into ghc, ghc-pkg and cabal.
Johan Tibell and Bryan O’Sullivan have volunteered as new release managers for Cabal. Bryan moved all the tickets from our previous trac instance into github, allowing us to move all the code to github. Johan managed the latest release and has been helping with managing the inflow of patches. Our hope is that these changes will increase the amount of contributions and give us more maintainer time for reviewing and integrating those contributions. Initial indications are positive. Now is a good time to get involved.
The IHG is currently sponsoring Well-Typed to work on getting the new Hackage server ready for switchover, and helping to make the switchover actually happen. We have recruited a few volunteer administrators for the new site. The remaining work is mundane but important tasks like making sure all the old data can be imported, and making sure the data backup system is comprehensive. Initially the new site will have just a few extra features compared to the old one. Once we get past the deployment hurdle we hope to start getting more contributions for new features. The code is structured so that features can be developed relatively independently, and we intend to follow Cabal and move the code to github.
We would like to encourage people considering contributing to take a look at the bug tracker on github, take part in discussions on tickets and pull requests, or submit their own. The bug tracker is reasonably well maintained and it should be relatively clear to new contributors what is in need of attention and which tasks are considered relatively easy. For more in-depth discussion there is also the cabal-devel mailing list.
Portackage (fremissant.net/portackage) is a web interface to all of hackage.haskell.org, which at the time of writing includes some 4000 packages exposing over 17000 modules. There are package and module views, as seen in the screenshots.
The package view includes links to the package, homepage, and bug tracker when available. Each name in the module tree view links to the Haddock API page. Control-hovering will show the fully-qualified name in a tooltip.
Portackage is only a few days old; imminent further work includes
The code itself is mostly Haskell, but is still too green to expose on Hackage.
This tool by Ralf Hinze and Andres Löh is a preprocessor that transforms literate Haskell or Agda code into LaTeX documents. The output is highly customizable by means of formatting directives that are interpreted by lhs2TeX. Other directives allow the selective inclusion of program fragments, so that multiple versions of a program and/or document can be produced from a common source. The input is parsed using a liberal parser that can interpret many languages with a Haskell-like syntax.
The program is stable and can take on large documents.
The current version is 1.18 and has been released in September 2012. The main change is compatibility with GHC 7.6. Development repository and bug tracker are on GitHub. There are still plans for a rewrite of lhs2TeX with the goal of cleaning up the internals and making the functionality of lhs2TeX available as a library.
Hat is a source-level tracer for Haskell. Hat gives access to detailed, otherwise invisible information about a computation.
Hat helps locating errors in programs. Furthermore, it is useful for understanding how a (correct) program works, especially for teaching and program maintenance. Hat is not a time or space profiler. Hat can be used for programs that terminate normally, that terminate with an error message or that terminate when interrupted by the programmer.
Tracing a program with Hat consists of two phases: First the program needs to be run such that it additionally writes a trace to file. To add trace-writing, hat-trans translates all the source modules Module of a Haskell program into tracing versions Hat.Module. These are compiled as normal and when run the program does exactly the same as the original program except for additionally writing a trace to file. Second, after the program has terminated, you view the trace with a browsing tool. Hat comes with several tools to selectively view fragments of the trace in different ways: hat-observe for Hood-like observations, hat-trail for exploring a computation backwards, hat-explore for freely stepping through a computation, hat-detect for algorithmic debugging, …
Hat is distributed as a package on Hackage that contains all Hat tools and tracing versions of standard libraries. Currently Hat supports Haskell 98 plus some language extensions such as multi-parameter type classes and functional dependencies. For portability all viewing tools use a textual interface; however, many tools use some Unix-specific features and thus run on Unix / Linux / OS X, but not on Windows.
Hat was mostly built around 2000–2004 and then disappeared because of lack of maintenance. Now it is back and new developments have started.
Currently the source-to-source transformation of hat-trans is being rewritten to use the haskell-src-exts parser. Thus small bugs of the current parser will disappear and in the future it will be easier to cover more Haskell language extensions.
When a traced program uses any libraries besides the standard Haskell 98 / 2010 ones, these libraries currently have to be manually transformed (in trusted mode). A new tool will be built to easily wrap any existing libraries such that they can be used by a traced program (without tracing the computations inside the libraries).
Feedback on Hat is welcome.
While lazy I/O has served the Haskell community well for many purposes in the past, it is not a panacea. The inherent non-determinism with regard to resource management can cause problems in such situations as file serving from a high traffic web server, where the bottleneck is the number of file descriptors available to a process.
Left fold enumerators have been the most common approach to dealing with streaming data without using lazy I/O. While it is certainly a workable solution, it requires a certain inversion of control to be applied to code. Additionally, many people have found the concept daunting. Most importantly for our purposes, certain kinds of operations, such as interleaving data sources and sinks, are prohibitively difficult under that model.
The conduit package was designed as an alternate approach to the same problem. The root of our simplification is removing one of the constraints in the enumerator approach. In order to guarantee proper resource finalization, the data source must always maintain the flow of execution in a program. This can lead to confusing code in many cases. In conduit, we separate out guaranteed resource finalization as its own component, namely the ResourceT transformer.
Once this transformation is in place, data producers, consumers, and transformers (known as Sources, Sinks, and Conduits, respectively) can each maintain control of their own execution, and pass off control via coroutines. The user need not deal directly with any of this low-level plumbing; a simple monadic interface (inspired greatly by the pipes package) is sufficient for almost all use cases.
Since its initial release, conduit has been through many design iterations, all the while keeping to its initial core principles. The most recent major release — version 0.5 — was made in June of this year. This design is working efficiently and properly for conduit’s use cases, and there are no plans for further breaking changes. The package can be considered mature and ready to be used by the general public.
There is a rich ecosystem of libraries available to be used with conduit, including cryptography, network communications, serialization, XML processing, and more. The Web Application Interface was the original motivator for creating the library, and continues to use it for expressing request and response bodies between servers and applications. As such, conduit is also a major player in the Yesod ecosystem.
The library is available on Hackage. The Haddocks contain a fairly detailed tutorial explaining common usage patterns. You can find many conduit-based packages in the Conduit category on Hackage as well.
Free sections (package freesect) extend Haskell (or other languages) to better support partial function application. The package can be installed from Hackage and runs as a preprocessor. Free sections can be explicitly bracketed, or usually the groupings can be inferred automatically.
Free sections can be understood by their place in a tower of generalisations, ranging from simple function application, through usual partial application, to free sections, and to named free sections. The latter (where _ wildcards include identifier suffixes) have the same expressivity as a lambda function wrapper, but the syntax is more compact and semiotic.
Although the rewrite provided by the extension is simple, there are advantages of free sections relative to explicitly written lambdas:
Free sections (like function wrappers generally) are especially useful in refactoring and retrofitting exisitng code, although once familiar they can also be useful from the ground up. Philosophically, use of this sort of syntax promotes “higher-order programming”, since any expression can so easily be made into a function, in numerous ways, simply by replacing parts of it with freesect wildcards. That this is worthwhile is demonstrated by the frequent usefulness of sections.
The notion of free sections emanated from an encompassing research agenda around vagaries of lexical syntax. Immediate plans specific to free sections include:
Otherwise, pretty much a one-off which will be deemed stable in a few months. Maybe I’ll try extending some language which lacks lambdas (or where its lambda syntax is especially unpleasant).
|Report by:||Jurriaan Hage|
|Participants:||Brian Vermeer, Gerben Verburg|
|Report by:||Bastiaan Heeren|
|Participants:||Alex Gerdes, Johan Jeuring, Josje Lodder, Bram Schuur|
|Status:||experimental, active development|
The Ideas project (at Open Universiteit Nederland and Utrecht University) aims at developing interactive domain reasoners on various topics. These reasoners assist students in solving exercises incrementally by checking intermediate steps, providing feedback on how to continue, and detecting common mistakes. The reasoners are based on a strategy language, from which feedback is derived automatically. The calculation of feedback is offered as a set of web services, enabling external (mathematical) learning environments to use our work. We currently have a binding with the Digital Mathematics Environment of the Freudenthal Institute (first/left screenshot), the ActiveMath learning system of the DFKI and Saarland University (second/right screenshot), and our own online exercise assistant that supports rewriting logical expressions into disjunctive normal form.
We are adding support for more exercise types, mainly at the level of high school mathematics. For example, our domain reasoner now covers simplifying expressions with exponents, rational equations, and derivatives. We have investigated how users can interleave solving different parts of exercises. We have extended our strategy language with different combinators for interleaving, and have shown how the interleaving combinators are implemented in the parsing framework we use for recognizing student behavior and providing hints.
Recently, we have focused on designing the Ask-Elle functional programming tutor. This tool lets you practice introductory functional programming exercises in Haskell. The tutor can both guide a student towards developing a correct program, as well as analyse intermediate, incomplete, programs to check whether or not certain properties are satisfied. We are planning to include checking of program properties using QuickCheck, for instance for the generation of counterexamples. We have to guide the test-generation process to generate test-cases that do not use the part of the program that has yet to be developed. We also want to make it as easy as possible for teachers to add programming exercises to the tutor, and to adapt the behavior of the tutor by disallowing or enforcing particular solutions, and by changing the feedback. Teachers can adapt feedback by annotating the model solutions of an exercise. The tutor has an improved web-interface and is used in an introductory FP course at Utrecht University.
The feedback services are available as a Cabal source package. The latest release is version 1.0 from September 1, 2011.
|Report by:||Doaitse Swierstra|
The previous extension for recognizing merging parsers was generalized so now any kind of applicative and monadic parsers can be merged in an interleaved way. As an example take the situation where many different programs write log entries into a log file, and where each log entry is uniquely identified by a transaction number (or process number) which can be used to distinguish them. E.g., assume that each transaction consists of an |a|, a |b| and a |c| action, and that a digit is used to identify the individual actions belonging to the same transaction; the individual transactions can now be recognized by the parser:
pABC = do d <- mkGram (pa *> pDigit )
mkGram (pb *> pSym d)
*> mkGram (pc *> pSym d)
Furthermore the library was provided with many more examples in two modules in the |Demo| directory.
Since the part dealing with merging is relatively independent of the underlying parsing machinery we may split this off into a separate package. This will enable us also to make use of a different parsing engines when combining parsers in a much more dynamic way. In such cases we want to avoid too many static analyses.
Future versions will contain a check for grammars being not left-recursive, thus taking away the only remaining source of surprises when using parser combinator libraries. This makes the library even greater for use teaching environments. Future versions of the library, using even more abstract interpretation, will make use of computed look-ahead information to speed up the parsing process further.
Students are working on a package for processing options which makes use of the merging parsers, so that the various options can be set in a flexible but typeful way.
If you are interested in using the current version of the library in order to provide feedback on the provided interface, contact <doaitse at swierstra.net>. There is a low volume, moderated mailing list which was moved to <parsing at lists.science.uu.nl> (see also http://www.cs.uu.nl/wiki/bin/view/HUT/ParserCombinators).
|Report by:||Brent Yorgey|
|Participants:||Stephanie Weirich, Tim Sheard|
Unbound is a domain-specific language and library for working with binding structure. Implemented on top of the RepLib generic programming framework, it automatically provides operations such as alpha equivalence, capture-avoiding substitution, and free variable calculation for user-defined data types (including GADTs), requiring only a tiny bit of boilerplate on the part of the user. It features a simple yet rich combinator language for binding specifications, including support for pattern binding, type annotations, recursive binding, nested binding, set-like (unordered) binders, and multiple atom types.
|Report by:||José Pedro Magalhães|
|Participants:||Atze Dijkstra, Johan Jeuring, Andres Löh, Simon Peyton Jones|
Haskell’s deriving mechanism supports the automatic generation of instances for a number of functions. The Haskell 98 Report only specifies how to generate instances for the Eq, Ord, Enum, Bounded, Show, and Read classes. The description of how to generate instances is largely informal. As a consequence, the portability of instances across different compilers is not guaranteed. Additionally, the generation of instances imposes restrictions on the shape of datatypes, depending on the particular class to derive.
We have developed a new approach to Haskell’s deriving mechanism, which allows users to specify how to derive arbitrary class instances using standard datatype-generic programming techniques. Generic functions, including the methods from six standard Haskell 98 derivable classes, can be specified entirely within Haskell, making them more lightweight and portable.
class GEnum a where
genum :: [a]
default genum :: ( Representable a,
Enum' (Rep a)) => [a]
genum = map to enum'
instance (GEnum a) => GEnum (Maybe a)
instance (GEnum a) => GEnum [a]
These instances are empty, and therefore use the (generic) default implementation. This is as convenient as writing |deriving| clauses, but allows defining more generic classes. This implementation relies on the new functionality of default signatures, like in |genum| above, which are like standard default methods but allow for a different type signature.
GHC 7.6.1 brings support for automatic derivation of |Generic1| instances, meaning that generic functions that abstract over type containers (such as |fmap|) are now also supported.
Datatype-generic programming increases program reliability by reducing code duplication and enhancing reusability and modularity. However, it is known that datatype-generic programs often run slower than type-specific variants, and this factor can prevent adoption of generic programming altogether. There can be multiple reasons for the performance penalty, but often it is caused by conversions to and from representation types that do not get eliminated during compilation.
Fortunately, it is also known that generic functions can be specialised to concrete datatypes, removing any overhead from the use of generic programming. We have investigated compilation techniques to specialise generic functions and remove the performance overhead of generic programs in Haskell. We used a representative generic programming library and inspected the generated code for a number of example generic functions. After understanding the necessary compiler optimisations for producing efficient generic code, we benchmarked the runtime of our generic functions against handwritten variants, and concluded that all the overhead can indeed be removed automatically by the compiler. More details can be found in the IFL’12 draft paper linked below.
|Report by:||Andy Gill|
|Participants:||Andy Gill, Andrew Farmer, Ed Komp, Neil Sculthorpe, Adam Howell, Robert Blair, Ryan Scott, Patrick Flor, Michael Tabone|
The Haskell Equational Reasoning Model-to-Implementation Tunnel (HERMIT) is an NSF-funded project being run at KU (→9.8), which aims to improve the applicability of Haskell-hosted Semi-Formal Models to High Assurance Development. Specifically, HERMIT will use: a Haskell-hosted DSL; the Worker/Wrapper Transformation; and a new refinement user interface to perform rewrites directly on Haskell Core, the GHC internal representation.
This project is a substantial case study of the application of Worker/Wrapper on larger examples. In particular, we want to demonstrate the equivalences between efficient Haskell programs, and their clear specification-style Haskell counterparts. In doing so there are several open problems, including refinement scripting and managing scaling issues, data representation and presentation challenges, and understanding the theoretical boundaries of the worker/wrapper transformation.
The project started in Spring 2012, and is expected to run for two years. The HERMIT team currently consists of one assistant professor, one research engineer, one post-doc, one PhD student, one Masters student, two undergraduates, and three student and ex-student volunteers.
We have reworked KURE (http://www.haskell.org/communities/11-2008/html/report.html#sect5.5.7), a Haskell-hosted DSL for strategic programming, as the basis of our rewrite capabilities, and constructed the rewrite kernel making use of the GHC Plugins architecture. As for interfaces to the kernel, we currently have a command-line REPL, we are constructing a web-based API, and an Android version is planned. A detailed introduction to the HERMIT architecture and implementation can be found in our Haskell Symposium 2012 paper. Thus far, we have used HERMIT to successfully mechanize about a dozen small examples of program transformations, drawn from the literature on techniques such as concatenate vanishes, tupling transformation, and worker/wrapper. A discussion of our experiences mechanizing these examples can be found in our IFL 2012 paper.
Funded by the NSF REU initiative and ITTC (our research center), we are also working on an Android application interface for HERMIT, where gestures can be used to manipulate Haskell Core programs. Five KU undergraduates are working on the Android application.
HTab is an automated theorem prover for hybrid logics based on a tableau calculus. It handles hybrid logic with nominals, satisfaction operators, converse modalities, universal modalities, the down-arrow binder, and role inclusion.
Main changes of version 1.6.0 are the switch to a better blocking mechanism called pattern-based blocking, and general effort to reduce and clean up the source code (removing some features in the process) to facilitate further experiments.
It is available on Hackage and comes with sample formulas to illustrate its input format.
|Report by:||Björn Buckwalter|
|Status:||active, stable core with experimental extras|
Dimensional is a library providing data types for performing arithmetics with physical quantities and units. Information about the physical dimensions of the quantities/units is embedded in their types, and the validity of operations is verified by the type checker at compile time. The boxing and unboxing of numerical values as quantities is done by multiplication and division with units. The library is designed to, as far as is practical, enforce/encourage best practices of unit usage within the frame of the SI. Example:
d :: Fractional a => Time a -> Length a
d t = a / _2 * t ^ pos2
where a = 9.82 *~ (meter / second ^ pos2)
Ongoing experimental work includes:
v :: Fractional a => Time a -> Velocity a
v t = diff d t
The core library, dimensional, as well as dimensional-tf, can be installed off Hackage using cabal. The other experimental packages can be cloned off of Github.
Dimensional relies on numtype for type-level integers (e.g., pos2 in the above example), ad for automatic differentiation, and HList (→7.7.1) for type-level vector and matrix representations.
AERN stands for Approximating Exact Real Numbers. We are developing a family of libraries that will provide:
There are stable older versions of the libraries on Hackage but these lack the type classes described above.
We are still in the process of redesigning and rewriting the libraries. Out of the newly designed code, we have so far released libraries featuring:
A release of interval arithmetic with MPFR endpoints is planned in before the end of 2012 despite the fact that currently one has to recompile GHC to use MPFR safely.
We have made progress on implementing polynomial intervals and plan to release them by the end of 2012. The development files include demos that solve selected ODE and hybrid system IVPs using polynomial intervals.
All AERN development is open and we welcome contributions and new developers.
Paraiso is a domain-specific language (DSL) embedded in Haskell, aimed at generating explicit type of partial differential equations solving programs, for accelerated and/or distributed computers. Equations for fluids, plasma, general relativity, and many more falls into this category. This is still a tiny domain for a computer scientist, but large enough that an astrophysicist (I am) might spend even his entire life in it.
In Paraiso we can describe equation-solving algorithms in mathematical, simple notation using builder monads. At the moment it can generate programs for multicore CPUs as well as single GPU, and tune their performance via automated benchmarking and genetic algorithms. The first set of experiment have been performed and published as a paper (http://arxiv.org/abs/1204.4779), accepted to Computational Science &Discovery.
Bullet is a professional open source multi-threaded 3D Collision Detection and Rigid Body Dynamics Library written in C++. It is free for commercial use under the zlib license. The Haskell bindings ship their own (auto-generated) C compatibility layer, so the library can be used without modifications. The Haskell binding provides a low level API to access Bullet C++ class methods. Some bullet classes (Vector, Quaternion, Matrix, Transform) have their own Haskell representation, others are binded as class pointers. The Haskell API provides access to some advanced features, like constraints, vehicle and more.
At the current state of the project most common services are accessible from Haskell, i.e., you can load collision shapes and step the simulation, define constraints, create raycast vehicle, etc. More advanced Bullet features (soft body simulation, Multithread and GPU constaint solver, etc.) will be added later.
Currently we are developing a new high level FRP based API, which is built top of Bullet.Raw module using the Elerea library.
|Report by:||Oleg Kiselyov|
|Participants:||Ralf Lämmel, Keean Schupke|
HList is a comprehensive, general purpose Haskell library for typed heterogeneous collections including extensible polymorphic records and variants. HList is analogous to the standard list library, providing a host of various construction, look-up, filtering, and iteration primitives. In contrast to the regular lists, elements of heterogeneous lists do not have to have the same type. HList lets the user formulate statically checkable constraints: for example, no two elements of a collection may have the same type (so the elements can be unambiguously indexed by their type).
An immediate application of HLists is the implementation of open, extensible records with first-class, reusable, and compile-time only labels. The dual application is extensible polymorphic variants (open unions). HList contains several implementations of open records, including records as sequences of field values, where the type of each field is annotated with its phantom label. We and others have also used HList for type-safe database access in Haskell. HList-based Records form the basis of OOHaskell. The HList library relies on common extensions of Haskell 2010. HList is being used in AspectAG (→5.3.4), typed EDSL of attribute grammars, and in HaskellDB.
The October 2012 version of HList library marks the significant re-write to take advantage of the fancier types offered by GHC 7.4+. HList now relies on type-level booleans, natural numbers and lists, and on kind polymorphism. A number of operations are implemented as type functions. Another notable addition is unfold for heterogeneous lists. Many operations (projection, splitting) are now implemented in terms of unfold. Such a refactoring moved more computations to type-level, with no run-time overhead.
Currently the core of HList has been re-written: HList, HArray, TIP – up to records. In the near future, we will finish the re-writing and take advantage of the better kind polymorphism supported by GHC 7.6+.
Persistent is a type-safe data store interface for Haskell. Haskell has many different database bindings available. However, most of these have little knowledge of a schema and therefore do not provide useful static guarantees. Persistent is designed to work across different databases, and works on Sqlite, PostgreSQL, MongoDB, and MySQL. MySQL is a new edition since the last HCAR, thanks to Felipe Lessa.
Since the last report, Persistent has been structured into separate type-classes. There is one for storage/serialization, and one for querying. This means that anyone wanting to create database abstractions can re-use the battle-testsed persistent storage/serialization layer. Persistent’s query layer is universal across different backends and uses combinators:
selectList [ PersonFirstName ==. "Simon",
PersonLastName ==. "Jones"] 
There are some drawbacks to the query layer: it doesn’t cover every use case. Since the last HCAR report, Persistent has gained some very good support for raw SQL. One can run arbitrary SQL queries and get back Haskell records or types for single columns.
Persistent also gained the ability to store embedded objects. One can store a list or a Map inside a column/field. The current implementation is most useful for MongoDB. In SQL an embedded object is stored as JSON.
Future directions for Persistent:
Most of Persistent development occurs within the Yesod (→5.2.6) community. However, there is nothing specific to Yesod about it. You can have a type-safe, productive way to store data, even on a project that has nothing to do with web development.
|Report by:||Torsten Grust|
|Participants:||George Giorgidze, Tom Schreiber, Alexander Ulrich, Jeroen Weijers|
Database-Supported Haskell, DSH for short, is a Haskell library for database-supported program execution. Using the DSH library, a relational database management system (RDBMS) can be used as a coprocessor for the Haskell programming language, especially for those program fragments that carry out data-intensive and data-parallel computations. Rather than embedding a relational language into Haskell, DSH turns idiomatic Haskell programs into SQL queries. The DSH library and the FerryCore package it uses are available on Hackage (http://hackage.haskell.org/package/DSH).
Support for algebraic data types. Algebraic data types (ADTs) are the essential data modelling tool of a number of functional programming languages like Haskell, OCaml and F#. In recent work we added support for ADTs to DSH. ADTs may be freely constructed and deconstructed in queries and may show up in the result type. The number of relational queries generated is small and statically determined by the type of the query.
DSH in the Real World. We have used DSH for large scale data analysis. Specifically, in collaboration with researchers working in social and economic sciences, we used DSH to analyse the entire history of Wikipedia (terabytes of data) and a number of online forum discussions (gigabytes of data).
Because of the scale of the data, it would be unthinkable to conduct the data analysis in Haskell without using the database-supported program execution technology featured in DSH. We have formulated several DSH queries directly in SQL as well and found that the equivalent DSH queries were much more concise, easier to write and maintain (mostly due to DSH’s support for nesting, Haskell’s abstraction facilities and the monad comprehension notation, see below).
One long-term goal is to allow researchers who are not necessarily expert programmers or database engineers to conduct large scale data analysis themselves.
Towards a New Compilation Strategy. As of today, DSH relies on a query compilation strategy coined loop-lifting. Loop-lifting comes with important and desirable properties (e.g., the number of SQL queries issued for a given DSH program only depends on the static type of the program’s result). The strategy, however, relies on a rather complex and monolithic mapping of programs to the relational algebra. To remedy this, we are currently exploring a new strategy based on the flattening transformation as conceived by Guy Blelloch. Originally designed to implement the data-parallel declarative language NESL, we revisit flattening in the context of query compilation (which targets database kernels, one particular kind of data-parallel execution environment). Initial results are promising and DSH might switch over in the not too far future. We hope to further improve query quality and also address the formal correctness of DSH’s program-to-queries mapping.
Related Work. Motivated by DSH we reintroduced the monad comprehension notation into GHC and also extended it for parallel and SQL-like comprehensions. The extension is available in GHC 7.2. We have also implemented a Haskell extension for overloading the list notation. This extension will be available in GHC in the near future.
|Report by:||Daniel Wagner|
|Participants:||Axel Simon, Duncan Coutts, Andy Stewart, and many others|
|Status:||beta, actively developed|
Gtk2Hs is a set of Haskell bindings to many of the libraries included in the Gtk+/Gnome platform. Gtk+ is an extensive and mature multi-platform toolkit for creating graphical user interfaces.
GUIs written using Gtk2Hs use themes to resemble the native look on Windows. Gtk is the toolkit used by Gnome, one of the two major GUI toolkits on Linux. On Mac OS programs written using Gtk2Hs are run by Apple’s X11 server but may also be linked against a native Aqua implementation of Gtk.
The most recent release includes GHC 7.6 compatibility (thanks to John Lato) and several minor behavioral improvements.
XMonad is a tiling window manager for X. Windows are arranged automatically to tile the screen without gaps or overlap, maximizing screen use. Window manager features are accessible from the keyboard; a mouse is optional. XMonad is written, configured, and extensible in Haskell. Custom layout algorithms, key bindings, and other extensions may be written by the user in config files. Layouts are applied dynamically, and different layouts may be used on each workspace. Xinerama is fully supported, allowing windows to be tiled on several physical screens.
Development since the last report has continued; XMonad founder Don Stewart has stepped down and Adam Vogt is the new maintainer. After gestating for 2 years, version 0.10 has been released, with simultaneous releases of the XMonadContrib library of customizations (which has now grown to no less than 216 modules encompassing a dizzying array of features) and the xmonad-extras package of extensions,
Details of changes between releases can be found in the release notes:
Binary packages of XMonad and XMonadContrib are available for all major Linux distributions.
Reactive-banana is a practical library for functional reactive programming (FRP).
FRP offers an elegant and concise way to express interactive programs such as graphical user interfaces, animations, computer music or robot controllers. It promises to avoid the spaghetti code that is all too common in traditional approaches to GUI programming.
The goal of the library is to provide a solid foundation.
Status. Version 0.7.0.0 of the reactive-banana library has been released on hackage.
Compared to the previous report, the library now features efficient dynamic event switching, also known as first class events. This means that events and behaviors can now be created on the fly, they no longer have to be specified fully at compilation time. For instance, it is now possible to implement a GUI where text entry widgets can be added and removed on user command. The source code example BarTab.hs demonstrates this.
This is a significant milestone because in very early approaches to FRP, dynamic event switching has been the cause of major inefficiencies, namely the so-called time leaks. By using the type system, reactive-banana can rule out these gross inefficiencies.
The API for dynamic event switching explores a different part of the design space than other packages for FRP, in particular the sodium library. There is a trade-off: reactive-banana is simpler when you don’t use dynamic event switching, sodium is simpler for heavy uses of dynamic event switching. Hopefully, time will tell which approach provides the more pleasant overall FRP experience.
Reactive-banana’s implementation of dynamic event switching addresses the grossest of inefficiencies, but some more benign efficiency problems still remain, in particular concerning garbage collection of dynamic events. They will be addressed in a future version.
Notable use cases. In his reactive-balsa library, Henning Thielemann uses reactive-banana to control digital musical instruments with MIDI in real-time.
|Report by:||George Giorgidze|
|Participants:||Joey Capper, Henrik Nilsson|
|Status:||active research and development|
The goal of the FHM project is to gain a better foundational understanding of noncausal, hybrid modelling and simulation languages for physical systems and ultimately to improve on their capabilities. At present, our central research vehicle to this end is the design and implementation of a new such language centred around a small set of core notions that capture the essence of the domain.
Causal modelling languages are closely related to synchronous data-flow languages. They model system behaviour using ordinary differential equations (ODEs) in explicit form. That is, cause-effect relationship between variables must be explicitly specified by the modeller. In contrast, noncausal languages model system behaviour using differential algebraic equations (DAEs) in implicit form, without specifying their causality. Inferring causality from usage context for simulation purposes is left to the compiler. The fact that the causality can be left implicit makes modelling in a noncausal language declarative (the focus is on expressing the equations in a natural way, not on how to express them to enable simulation) and also makes the models more reusable.
FHM is an approach to modelling which combines purely functional programming and noncausal modelling. In particular, the FHM approach proposes modelling with first class models (defined by continuous DAEs) using combinators for their composition and discrete switching. The discrete switching combinators enable modelling of hybrid systems (i.e., systems that exhibit both continuous and discrete dynamic behaviour). The key concepts of FHM originate from work on Functional Reactive Programming (FRP).
We are implementing Hydra, an FHM language, as a domain-specific language embedded in Haskell. The method of embedding employs quasiquoting and enables modellers to use the domain specific syntax in their models. The present prototype implementation of Hydra enables modelling with first class models and supports combinators for their composition and discrete switching.
We implemented support for dynamic switching among models that are computed at the point when they are being “switched in”. Models that are computed at run-time are just-in-time (JIT) compiled to efficient machine code. This allows efficient simulation of structurally dynamic systems where the number of structural configurations is large, unbounded or impossible to determine in advance. This goes beyond to what current state-of-the-art noncausal modelling languages can model. The implementation techniques that we developed should benefit other modelling and simulation languages as well.
We are also exploring ways of utilising the type system to provide stronger correctness guarantees and to provide more compile time reassurances that our system of equations is not unsolvable. Properties such as equational balance (ensuring that the number of equations and unknowns are balance) and ensuring the solvability of locally scoped variables are among our goals.
Furthermore, a minimal core language for FHM is being developed and formalised in the dependently-typed language Agda. The goals of the core language are to capture the essence of Hydra such that we can demonstrate its correctness and prove the existance of a number of desirable properties. Of particular interest is the soundness of the implementation with respect to the formal semantics, and properties such as termination and productivity for the structural dynamics.
Recently, George Giorgidze completed his PhD thesis featuring an in-depth description of the design and implementation of the Hydra language. In addition, the thesis features a range of example physical systems modelled in Hydra. The examples are carefully chosen to showcase those language features of Hydra that are lacking in other noncausal modelling languages.
The implementation of Hydra and related papers (including George’s PhD thesis) are available from http://db.inf.uni-tuebingen.de/team/giorgidze.
Implementation and articles relating to the formalisation of an FHM core language can be found at http://cs.nott.ac.uk/~jjc.
Elerea (Eventless reactivity) is a tiny discrete time FRP implementation without the notion of event-based switching and sampling, with first-class signals (time-varying values). Reactivity is provided through various higher-order constructs that also allow the user to work with arbitrary time-varying structures containing live signals.
Stateful signals can be safely generated at any time through a specialised monad, while stateless combinators can be used in a purely applicative style. Elerea signals can be defined recursively, and external input is trivial to attach. The library comes in three major variants, which all have precise denotational semantics:
The code is readily available via cabal-install in the elerea package. You are advised to install elerea-examples as well to get an idea how to build non-trivial systems with it. The examples are separated in order to minimize the dependencies of the core library. The experimental branch is showcased by Dungeons of Wor, found in the dow package (http://www.haskell.org/communities/05-2010/html/report.html#sect6.11.2). Additionally, the basic idea behind the experimental branch is laid out in the WFLP 2010 article Efficient and Compositional Higher-Order Streams.
Since the last report, the API was extended with effectful combinators that allow IO computations to be used in the definitions of the signals. The primary use for this functionality is to provide FRP-style bindings on top of imperative libraries. At the moment, a high-level Elerea based API for the Bullet physics library is under development.
|Report by:||Csaba Hruska|
|Status:||experimental, active development|
LambdaCube 3D is a domain specific language and library that makes it possible to program GPUs in a purely functional style.
Programming with LambdaCube constitutes of composing a pure data-flow description, which is compiled into an executable module and accessed through a high-level API. The language provides a uniform way to define shaders and compositor chains by treating both streams and framebuffers as first-class values.
In its current state, LambdaCube is already functional, but still in its infancy. The current API is a rudimentary EDSL that is not intended for direct use in the long run. It is essentially the internal phase of a compiler backend exposed for testing purposes. To exercise the library, we have created two small proof of concept examples: a port of the old LambdaCube Stunts example, and a Quake III level viewer.
Over the last few months, we extended the implementation with some essential major features:
We also improved the existing examples and created new ones: a showcase for variance shadow mapping and another for integration with the Bullet physics engine.
Last but not least, we finally started a new blog dedicated to LambdaCube. The blog is intended to be the primary source of information and updates on the project from now on.
Everyone is invited to contribute! You can help the project by playing around with the code, thinking about API design, finding bugs (well, there are a lot of them anyway), creating more content to display, and generally stress testing the library as much as possible by using it in your own projects.
|Report by:||Brent Yorgey|
|Participants:||Jan Bracker, Andy Gill, Chris Mears, Michael Sloan, Ryan Yates|
The diagrams framework provides an embedded domain-specific language for declarative drawing. The overall vision is for diagrams to become a viable alternative to DSLs like MetaPost or Asymptote, but with the advantages of being declarative—describing what to draw, not how to draw it—and embedded—putting the entire power of Haskell (and Hackage) at the service of diagram creation. There is still much more to be done, but diagrams is already quite fully-featured, with a comprehensive user manual, a large collection of primitive shapes and attributes, many different modes of composition, paths, cubic splines, images, text, arbitrary monoidal annotations, named subdiagrams, and more.
Development proceeds slowly (since most of the main developers are busy with other things) but passionately. The upcoming 0.6 release didn’t make it out the door in time for the HCAR deadline, but look for a new release in early December! New features in 0.6 will include:
Some other exciting recent things in diagrams-land:
There is plenty of exciting work to be done; new contributors are welcome! Diagrams has developed an encouraging, responsive, and fun developer community, and makes for a great opportunity to learn and hack on some “real-world” Haskell code. Because of its size, generality, and enthusiastic embrace of advanced type system features, diagrams can be intimidating to would-be users and contributors; however, we are actively working on new documentation and resources to help combat this. For more information on ways to contribute and how to get started, see the Contributing page on the diagrams wiki: http://haskell.org/haskellwiki/Diagrams/Contributing.
Some exciting work on animation, interactivity, and using diagrams as a high-powered presentation tool is underway—stay tuned!
A native SVG backend is under active development and almost ready to be used as a drop-in replacement for the cairo backend. The cairo backend will still be supported, but SVG will replace cairo as the default “out-of-the-box” backend, vastly simplifying installation for new useres. Other features planned for the near future include better arrow support, multi-page diagrams, and gradients. Longer-term plans include a richer API for drawing curved paths, interactive diagrams, and a custom Gtk application for interactively developing diagrams and animations.
This project covers many aspects of audio signal processing in Haskell. It is based on the Numeric Prelude framework (http://haskell.org/communities/05-2009/html/report.html#sect5.6.2). Over the time the project has grown to a set of several packages:
Recent advances are:
|Report by:||Henning Thielemann|
The Live-Sequencer allows to program music in the style of Haskore, but it is inherently interactive. You cannot only listen to changes to the music quickly, but you can alter the music while it is played. Changes to the music may not have an immediate effect but are respected when their time has come.
Additionally users can alter parts of the modules of a musical work via a WWW interface. This way multiple people including the auditory can take part in a live composition. This mode can also be used in education, when students shall solve small problems in an exercise.
Technical background: The music is represented as lazy list of MIDI events. (MIDI is the Musical Instrument Digital Interface). The MIDI events are sent via ALSA and thus can control any kind of MIDI application, be it software synthesizers on the same computer or external hardware synthesizers. The application can also receive MIDI events that are turned into program code. We need certain ALSA functionality for precise timing of events. Thus the sequencer is currently bound to Linux.
The Live-Sequencer can be run either as command-line program without editing functions or as an interactive program based on wxwidgets.
The used language is a much simplified kind of Haskell. It provides no sharing, misses many syntactic constructs and is untyped. However the intersection between Haskell and the Live-Sequencer language is large enough for algorithmic music patterns and we provide several examples that are contained in this intersection.
|Report by:||José Pedro Magalhães|
|Participants:||W. Bas de Haas, Dion ten Heggeler, Gijs Bekenkamp, Tijmen Ruizendaal|
Chordify is a music player that extracts chords from musical sources like Soundcloud, Youtube, or your own files, and shows you which chord to play when. The aim of Chordify is to make state-of-the-art music technology accessible to a broader audience. Our interface is designed to be simple: everyone who can hold a musical instrument should be able to use it.
Behind the scenes, we use the sonic annotator for extraction of audio features. These features consist of the downbeat positions and the tonal content of a piece of music. Next, the Haskell program HarmTrace takes these features and computes the chords. HarmTrace uses a model of Western tonal harmony to aid in the chord selection. At beat positions where the audio matches a particular chord well, this chord is used in final transcription. However, in case there is uncertainty about the sounding chords at a specific position in the song, the HarmTrace harmony model will select the correct chords based on the rules of tonal harmony.
We have recently entered an open beta testing phase, so we invite all users to visit chordify.net, request a beta account, and try Chordify. We are especially interested in feedback. The code for HarmTrace is available on Hackage, and we have ICFP’11 and ISMIR’12 publications describing some of the technology behind Chordify.
|Report by:||Paul Hudak|
|Participants:||Donya Quick, Daniel Winograd-Cort|
|Status:||prototype release, active development|
Euterpea is a Haskell library for computer music applications. It is a descendent of Haskore and HasSound, and is intended for both educational purposes as well as serious computer music development. Euterpea can be thought of as a “wide-spectrum” DSL, suitable for high-level music representation, algorithmic composition, and analysis; mid-level concepts such as MIDI; and low-level audio processing, sound synthesis, and instrument design. It also includes a musical user interface (MUI), a set of GUI widgets such as sliders, buttons, and so on.
The audio and MIDI-stream processing aspects of Euterpea are based on arrows, which makes programs analogous to signal processing diagrams. Using arrows prevents certain kinds of space leaks, and facilitates significant optimization strategies (in particular, the use of causal commutative arrows.
Euterpea is being developed at Yale in Paul Hudak’s research group, where it has become a key component of Yale’s new Computing and the Arts major. Hudak is teaching a two-term sequence in computer music using Euterpea, and is developing considerable pedagogical material, including a new textbook tentatively titled The Haskell School of Music — From Signals to Symphonies (HSoM). The name “Euterpea” is derived from “Euterpe”, who was one of the nine Greek Muses (goddesses of the arts), specifically the Muse of Music.
The system is stable enough for experimental computer music applications, and for use in coursework either to teach Haskell programming or to teach computer music concepts.
All source code, papers, and a draft of the HSoM textbook can be found on the Yale Haskell Group website at: http://haskell.cs.yale.edu/.
Haskore is a Haskell library developed over 15 years ago by Paul Hudak and his students at Yale for high-level computer music applications. HasSound was a later development that served as a functional front-end to csound’s sound synthesis capabilities. Euterpea combines Haskore with a native Haskell realization of HasSound (i.e. no csound dependencies).
Euterpea is a work in progress, as is the HSoM textbook. Computer-music specific MUI widgets (such as keyboards and guitar frets), further optimization strategies, better support for real-time MIDI and audio processing, and a parallel (multicore) implementation are amongst the planned future goals.
Anyone who would like to contribute to the project, please contact Paul Hudak at firstname.lastname@example.org.
Please visit http://haskell.cs.yale.edu/. Click on “Euterpea” to learn more about the library, “Publications” to find our papers on computer music (including HSoM), and “CS431” or “CS432” to see the course material used in two computer music classes at Yale that use Euterpea.
HaTeX is a Haskell implementation of LaTeX, with the aim to be
a helpful tool to generate or parse LaTeX code.
From a global sight, it’s composed of:
Since the release of the version 3 to the current 3.3, the most notable changes have been:
The next mission of HaTeX is to enhance what currently is. Fixing bugs, extend documentation, improve the guide, add useful functions.
If you are someway interested in this project, please, feel free to give any kind of opinion or idea, or to ask any question you have. A good place to take contact and stay tuned is the HaTeX mailing list:
The Haskell XML Toolbox (HXT) is a collection of tools for processing XML with Haskell. It is itself purely written in Haskell 98. The core component of the Haskell XML Toolbox is a validating XML-Parser that supports almost fully the Extensible Markup Language (XML) 1.0 (Second Edition). There is a validator based on DTDs and a new more powerful one for Relax NG schemas.
The Haskell XML Toolbox is based on the ideas of HaXml and HXML, but introduces a more general approach for processing XML with Haskell. The processing model is based on arrows. The arrow interface is more flexible than the filter approach taken in the earlier HXT versions and in HaXml. It is also safer; type checking of combinators becomes possible with the arrow approach.
HXT is partitioned into a collection of smaller packages: The core package is hxt. It contains a validating XML parser, an HTML parser, filters for manipulating XML/HTML and so called XML pickler for converting XML to and from native Haskell data.
Basic functionality for character handling and decoding is separated into the packages hxt-charproperties and hxt-unicode. These packages may be generally useful even for non XML projects.
HTTP access can be done with the help of the packages hxt-http for native Haskell HTTP access and hxt-curl via a libcurl binding. An alternative lazy non validating parser for XML and HTML can be found in hxt-tagsoup.
The XPath interpreter is in package hxt-xpath, the XSLT part in hxt-xslt and the Relax NG validator in hxt-relaxng. For checking the XML Schema Datatype definitions, also used with Relax NG, there is a separate and generally useful regex package hxt-regex-xmlschema.
The old HXT approach working with filter hxt-filter is still available, but currently only with hxt-8. It has not (yet) been updated to the hxt-9 mayor version.
The master thesis and project implementing an XML Schema validator started in October 2011 has been finished. The validator will be released in a separate module hxt-xmlschema. Integration with hxt has been prepared in hxt-9.3. The XML Schema datatype library has also been completed, all datatypes including date and time types are implemented. But there is still a need for testing the validator, especially with the W3C test suite. Hopefully testing will be done in the next few months. With the release of the schema validator the the master thesis will also be published on the HXT homepage. The current state of the validator can be found in the HXT repository on github.
The Haskell XML Toolbox Web page (http://www.fh-wedel.de/~si/HXmlToolbox/index.html) includes links to downloads, documentation, and further information.
The latest development version of HXT can be found on github under (https://github.com/UweSchmidt/hxt).
A getting started tutorial about HXT is available in the Haskell Wiki (http://www.haskell.org/haskellwiki/HXT ). The conversion between XML and native Haskell data types is described in another Wiki page (http://www.haskell.org/haskellwiki/HXT/Conversion_of_Haskell_data_from/to_XML).
|Report by:||Dino Morelli|
|Status:||stable, actively developed|
A suite of command-line utilities for creating and manipulating epub book files. Included are: epubmeta, epubname, epubzip.
epubmeta is a command-line utility for examining and editing epub book metadata. With it you can export, import and edit the raw OPF Package XML document for a given book. Or simply dump the metadata to stdout for viewing in a friendly format.
epubname is a command-line utility for renaming epub ebook files based on their OPF Package metadata. It tries to use author names and title info to construct a sensible name. epubname has recently undergone extensive redesign:
epubzip is a handy utility for zipping up the files that comprise an epub into an .epub zip file. Using the same technology as epubname, it can try to make a meaningful filename for the book.
epub-tools is available from Hackage and the Darcs repository below.
The Haskell Natural Language Processing community aims to make Haskell a more useful and more popular language for NLP. The community provides a mailing list, Wiki and hosting for source code repositories via the Haskell community server.
The Haskell NLP community was founded in March 2009. The list is still growing slowly as people grow increasingly interested in both natural language processing, and in Haskell.
Recently released packages and projects
New packages and projects in development
At the present, the mailing list is mainly used to make announcements to the Haskell NLP community. At the time of this writing, there is an ongoing Coursera online NLP class, for which some of list members have expressed an interest in doing the assingments in Haskell. We hope that we will continue to expand the list and expand our ways of making it useful to people potentially using Haskell in the NLP world.
GenI is a surface realizer for Tree Adjoining Grammars. Surface realization can be seen a subtask of natural language generation (producing natural language utterances, e.g., English texts, out of abstract inputs). GenI in particular takes a Feature Based Lexicalized Tree Adjoining Grammar and an input semantics (a conjunction of first order terms), and produces the set of sentences associated with the input semantics by the grammar. It features a surface realization library, several optimizations, batch generation mode, and a graphical debugger written in wxHaskell. It was developed within the TALARIS project and is free software licensed under the GNU GPL, with dual-licensing available for commercial purposes.
Since May 2011, Eric is working with Computational Linguistics Ltd and SRI international to develop new features for GenI and improve its scalability and performance for use in an interactive tutoring application. Most recently, we have released an long overdue update to GenI, featuring GHC 7 support, simpler installation, library cleanups, bugfixes, and a handful of new UI features.
GenI is available on Hackage, and can be installed via cabal-install. Our most recent release of GenI was version 0.22 (2012-04-22). For more information, please contact us on the geni-users mailing list.
Bayes-stack is a framework for inference on probabilistic graphical models. It supports hierarchical latent variable models, including Latent Dirichlet allocation and even more complex topic model derivatives. We focus on inference using blocked collapsed Gibbs sampling, but the framework is also suitable for other iterative update methods.
Bayes-stack is written for parallel environments running on multi-core machines. While many researchers see collapsed Gibbs sampling as a hindrance for parallelism, we embrace its robustness against mildly out-of-date state. In bayes-stack, a model is represented as blocks of jointly updated random variables. Each inference worker thread will repeatedly pick a block, fetch the current model state, and compute a new setting for its variables. It then pushes an update function to a thread responsible for updating the global state. This thread will accumulate state updates, committing them only periodically to manage memory bandwidth and cache pressure.
Unlike other approaches where sets of variables are evolved independently for several iterations, bayes-stack synchronizes the model state after only a few variables have been processed. This improves convergence properties while incurring minimal performance costs.
The project provides two packages. The core of the framework is contained in the bayes-stack package while network-topic-models demonstrates use of the framework, providing several topic model implementations. These include Latent Dirichlet Allocation (LDA), the shared taste model for social network analysis, and the citation influence model for citation graphs.
Haskell’s ability to capture abstraction without compromising performance has enabled us to preserve the purity of the model definition while safely utilizing concurrency. Tools like GHC’s event log and Threadscope have been extremely helpful in evaluating the performance characteristics of the parallel sampler.
Currently our focus is on improving scalability of the inference. While our inference approach should allow us to find a reasonable trade-off between data-sharing and performance, much work still remains to realize this potential.
We thank Simon Marlow for both his discussions concerning parallel performance tuning with GHC as well as his continuing work in pushing forward the state of high-performance concurrency in Haskell. Furthermore, we are excited about work surrounding Threadscope by Duncan Coutts, Peter Wortmann, and others.
I have been exploring the algebraic properties of machine learning algorithms using Haskell. For example, the training of a Naive Bayes classifier turns out to be a semigroup homomorphism. This algebraic interpretation has two main advantages: First, all semigroup homomorphisms can be converted into an online and/or parallel algorithm for free using specially designed higher-order functions. Second, we can perform cross-validation on homomorphisms much faster than we can on non-homomorphic functions.
I am in the process of writing a prototype library for homomorphic learning called HLearn. Haskell was the natural choice for implementing the project due to its emphasis on algebra and its high performance. My goal is to have an initial release sometime in 2012. I can be contacted at <mike at izbicki.me>.
ADPfusion provides a domain-specific language (DSL) for the formulation of dynamic programs with a special emphasis on computational biology. Following ideas established in Algebraic dynamic programming (ADP) a problem is separated into a grammar defining the search space and one or more algebras that score and select elements of the search space. The DSL has been designed with performance and a high level of abstraction in mind.
As an example, consider a grammar that recognizes palindromes. Given the non-terminal p, as well as parsers for single characters c and the empty input e, the production rule for palindromes can be formulated as p ->c p c || e.
The corresponding ADPfusion code is similar:
We need a number of combinators as “glue” and additional evaluation functions f, g, and h. With f c1 p c2 = p && (c1=c2) scoring a candidate, g e = True, and h xs = or xs determining if the current substring is palindromic.
As of now, code written in ADPfusion achieves performance close to hand-optimized C, and outperforms similar approaches (Haskell-based ADP, GAPC producing C++) thanks to stream fusion. The figure shows running times for the Nussinov algorithm.
The current (post-ICFP) code contains numerous improvements, including better grammar handling (fewer combinators!) and new possibilities for combining grammars and algebras.
Details can be found in the paper (ICFP’12 proceedings) with a preprint available on the ADPfusion homepage.
|Report by:||Ketil Malde|
|Participants:||Christian Höner zu Siederdissen, Nick Ignolia, Felipe Almeida Lessa, Dan Fornika, Maik Riechert, Ashish Agarwal, Grant Rotskoff|
Bioinformatics in Haskell is a steadily growing field, and the Bio section on Hackage now contains 51 libraries and applications. The biohaskell web site coordinates this effort, and provides documentation and related information. Anybody interested in the combination of Haskell and bioinformatics is encouraged to sign up to the mailing list, and to register and document their contributions on the http://biohaskell.org wiki.
Feldspar is a domain-specific language for digital signal processing (DSP). The language is embedded in Haskell and developed in co-operation by Ericsson, Chalmers University of Technology (Göteborg, Sweden) and Eötvös Lorand (ELTE) University (Budapest, Hungary).
The motivating application of Feldspar is telecoms processing, but the language is intended to be useful for DSP in general. The aim is to allow DSP functions to be written in pure functional style in order to raise the abstraction level of the code and to enable more high-level optimizations. The current version consists of an extensive library of numeric and array processing operations as well as a code generator producing C code for running on embedded targets.
The current version deals with the data-intensive numeric algorithms which are at the core of any DSP application. We have recently added support for the expression and compilation of parallel algorithms. As future work remains to extend the language to deal with interaction with the environment (e.g., processing of streaming data) and to support compilation to heterogeneous multi-core targets.
Kansas Lava is a Domain Specific Language (DSL) for expressing hardware descriptions of computations, and is hosted inside the language Haskell. Kansas Lava programs are descriptions of specific hardware entities, the connections between them, and other computational abstractions that can compile down to these entities. Large circuits have been successfully expressed using Kansas Lava, and Haskell’s powerful abstraction mechanisms, as well as generic generative techniques, can be applied to good effect to provide descriptions of highly efficient circuits.
Kansas Lava has undergone considerable changes over the last 12 months.
clckwrks (pronounced “clockworks”) is a blogging and content management system (CMS). It is intended to compete directly with popular PHP-based systems. Pages and posts are written in markdown and can be edited directly in the browser. The system can be extended via plugins and themes packages.
At present, clckwrks is still alpha, and requires Haskell knowledge to install and configure. However, the goal is to create an end user system that requires zero Haskell knowledge. It will be possible to one-click install plugins and themes and perform all other administrative functions via the browser.
We are currently focused on four tasks:
Once the core is solid, we will focus development efforts on creating plugins to extend the core functionality.
The leapseconds-announced library provides an easy to use static LeapSecondTable with the leap seconds announced at library release time. It is intended as a quick-and-dirty leap second solution for one-off analyses concerned only with the past and present (i.e. up until the next as of yet unannounced leap second), or for applications which can afford to be recompiled against an updated library as often as every six months.
Version 2012 of leapseconds-announced contains all leap seconds up to 2012-07-01. A new version will be uploaded if/when the IERS announces a new leap second.
The program arbtt, the automatic rule-based time tracker, allows you to investigate how you spend your time, without having to manually specify what you are doing. arbtt records what windows are open and active, and provides you with a powerful rule-based language to afterwards categorize your work. And it comes with documentation!
By now, the data collected by some arbtt users has become quite large. This awoke the dormant development and the newly released version 0.6.4 sports processing in constant memory and faster time-related functions.
|Report by:||Dino Morelli|
|Status:||experimental, actively developed|
This is a daemon that executes an ssh command to form a secure tunnel and then blocks on it. If the tunnel goes down, sshtun can attempt to reestablish it. It can also be set up to monitor a file on an http server to determine if the tunnel should be up or not, so you can switch it on or off remotely.
sshtun is available from Hackage and the Darcs repository below.
Mollom (http://mollom.com) is a anti-comment-spam service, running in the cloud. The service can be used for free (limited number of requests per day) or paid, with full support. The service offers a REST based API (http://mollom.com/api/rest). Several libraries are offered freely on the Mollom website, for various languages and web frameworks – PHP, Python, Drupal, etc.
hMollom is an implementation of this API, communicating with the Mollom service for each API call that is made and returning the response as a Haskell data type, along with some error checking.
hMollom is currently under active development. The current release targets the Mollom REST API. We carefully track new developments in the Mollom API.
The development happens on GitHub, see http://github.com/itkovian/hMollom, packages are put on Hackage.
|Report by:||Andy Georges|
Graylog (http://graylog2.org) is a log management framework that allows setting up event log monitoring and anlysis through various tools. The logging format used is GELF — The GrayLog Extended Logging Format.
At the moment of writing hGelf, there was no Haskell package available on Hackage that allows wrapping log messages in this format. hGelf aimed to fill this void.
The development of hGelf happens on GitHub, see https://github.com/itkovian/hGelf, packages are put on Hackage.
Galois is pleased to announce the movement of our open source projects to GitHub!
As part of our commitment to giving back to the open source community, we have decided that we can best publish our work using GitHub’s public website. This move should provide the open source community more direct access to our repositories, as well as more advanced collaboration tools.
Moved repositories include the widely-used XML and JSON libraries, our FiveUI extensible UI Analysis tool, our high-speed Cereal serialization library, our SHA and RSA crypto packages, the HaLVM, and more. For a list of our open source packages, please see our main GitHub page here: https://github.com/galoisinc
We are very excited to interact with the GitHub community and utilize all the great tools there. On the other hand, if you’re not a GitHub user, please feel free to continue to send us any patches or suggestions as per usual.
For those currently hacking on projects using our old repositories at code.galois.com, we apologize for the inconvenience! The trees on GitHub hold the exact same trees, however, so you should be able to add a remote tree (git remote add) and push without too much difficulty.
Well-Typed is a Haskell services company. We provide commercial support for Haskell as a development platform, including consulting services, training, and bespoke software development. For more information, please take a look at our website or drop us an e-mail at <info at well-typed.com>.
We are working for a variety of commercial clients, but naturally, only some of our projects are publically visible.
We continue to be involved in the development and maintenance of GHC (→3.2). Since the last HCAR, we have put out the 7.4.2 patch release as well as 7.6.1, the first release of a new stable branch. We are expecting to put out a 7.6.2 bug-fix release in the not too distant future, as well as a 7.8.1 release with the latest goodies.
On behalf of the Industrial Haskell Group (IHG) (→8.3), we have now completed the 64bit Windows port of GHC, and it was released as part of GHC 7.6.1. We have now turned our attention to the Hackage server, and are working on getting the new Hackage 2 implementation to the point where it is usable as the central hackage.haskell.org server.
The Parallel GHC Project (→5.1.3) is drawing to a close now. Information about the partner organisations’ projects can be found on the wiki page (http://www.haskell.org/haskellwiki/Parallel_GHC_Project), and will also be presented in forthcoming talks and publications. There have also been a number of useful off-shoots of the project, most notably a much improved ThreadScope application (for debugging performance of concurrent and parallel programs), and a new full implementation of Cloud Haskell (an Erlang-like system for Haskell, now ready for early adopters).
We continue to be involved in the community, maintaining several packages on Hackage and giving talks at a number of conferences. More recently, we have partnered with Skills Matter to offer public beginners and advanced Haskell courses on a quarterly basis. See the “Training” section of our website for more details.
We are of course always looking for new clients and projects, so if you have something we could help you with, just drop us an e-mail.
|Report by:||Rishiyur Nikhil|
Bluespec, Inc. provides an industrial-strength language (BSV) and tools for high-level hardware design. Components designed with these are shipping in some commercial smartphones and tablets today.
BSV is used for all aspects of ASIC and FPGA design — specification, synthesis, modeling, and verification. All hardware behavior is expressed using rewrite rules (Guarded Atomic Actions). BSV borrows many ideas from Haskell — algebraic types, polymorphism, type classes (overloading), and higher-order functions. Strong static checking extends into correct expression of multiple clock domains, and to gated clocks for power management. BSV is universally applicable, from algorithmic “datapath” blocks to complex control blocks such as processors, DMAs, interconnects, and caches.
Bluespec’s core tool synthesizes (compiles) BSV into high-quality Verilog, which can be further synthesized into netlists for ASICs and FPGAs using third-party tools. Atomic transactions enable design-by-refinement, where an initial executable approximate design is systematically transformed into a quality implementation by successively adding functionality and architectural detail. The synthesis tool is implemented in Haskell (well over 100K lines).
Bluesim is a fast simulation tool for BSV. There are extensive libraries and infrastructure to make it easy to build FPGA-based accelerators for compute-intensive software, including for the Xilinx XUPv6 board popular in universities, and the Convey HC-1 high performance computer.
BSV is also enabling the next generation of computer architecture education and research. Students implement and explore architectural models on FPGAs, whose speed permits evaluation using whole-system software.
BSV tools, available since 2004, are in use by several major semiconductor and electronic equipment companies, and universities. The tools are free for academic teaching and research.
Abstraction in Hardware System Design, R.S. Nikhil, in Communications of the ACM, 54:10, October 2011, pp. 36-44.
Bluespec, a General-Purpose Approach to High-Level Synthesis Based on Parallel Atomic Transactions, R.S. Nikhil, in High Level Synthesis: from Algorithm to Digital Circuit, Philippe Coussy and Adam Morawiec (editors), Springer, 2008, pp. 129-146.
The Industrial Haskell Group (IHG) is an organization to support the needs of commercial users of Haskell.
The main activity of the IHG is to fund work on the Haskell development platform. It currently operates two schemes:
In the past six months, the collaborative development scheme funded work on a Win64 port of GHC and on the new Hackage server (→6.3.1).
The Win64 port of GHC is now complete and released (as a part of GHC 7.6). There’s an installer available for the 64-bit Windows version, so it should be easy enough to get started.
The main focus of current IHG work is the transition to the new Hackage server. In a first phase, we have been fixing a number of outstanding bugs and memory issues with the Hackage server. We are now confident that Hackage 2 is stable enough to go into production. We are continuing to work on a number of issues such as somewhat improved security (per-package maintainer groups that restrict who can upload new versions of a package), a good backup infrastructure, and providing a smooth migration from Hackage to Hackage 2. Among other things, we can now import all of the old account data into the new Hackage sever.
Snapshots of the new server are intermittently being made available at http://new-hackage.haskell.org.
Details of the tasks undertaken are appearing on the Well-Typed (→8.1) blog, on the IHG status page and on standard communication channels such as the Haskell mailing list.
The collaborative development scheme is running continuously, so if you are interested in joining as a member, please get in touch. Details of the different membership options (full, associate, or academic) can be found on the website.
We are particularly interested in new members who might be willing to fund further efforts on Cabal and Hackage.
If you are interested in joining the IHG, or if you just have any comments, please drop us an e-mail at <info at industry.haskell.org>.
Barclays Capital has been using Haskell as the basis for our FPF (Functional Payout Framework) project for about seven years now. The project develops a DSL and associated tools for describing and processing exotic equity options. FPF is much more than just a payoff language — a major objective of the project is not just pricing but “zero-touch” management of the entire trade lifecycle through automated processing and analytic tools.
For the first half of its life the project focused only on the most exotic options — those which were too complicated for the legacy systems to handle. Over the past few years however, FPF has expanded to provide the trade representation and tooling for the vast majority of our equity exotics trades and with that the team has grown significantly in both size and geographical distribution. We now have eight permanent full-time Haskell developers spread between Hong Kong, Kiev and London (with the latter being the biggest development hub).
Our main front-end language is currently a deeply embedded DSL which has proved very successful, but we have recently been working on a new non-embedded implementation. This will allow us to bypass some of the traditional DSEL limitations (e.g., error messages and syntactical restrictions) whilst addressing some business areas which have historically been problematic. The new language is based heavily on arrows, but has a custom (restrictive but hopefully easier-to-use than raw arrow-notation) syntax. We are using a compiler from our custom DSL syntax into Haskell source (with standard transformers from Ross Paterson’s “arrows” package) to provide the semantics for the language but plan to develop a number of independent backends. Our hope is that, over time, this will gradually replace our embedded DSL as the front end for all our tools. For the parsing part of this work we have been very impressed by Doaitse Swierstra’s uu-parsinglib (→7.3.2).
We have been and remain very satisfied GHC users and feel that it would have been significantly harder to develop our systems in any other current language.
madvertise Mobile Advertising, GmbH is Europe’s leading marketplace for mobile app and web advertising, with traffic frequencies of up to 25.000 requests per second. madvertise was founded in 2009 and the recent purchase of Turkish mobile advertising firm Mobilike has raised the number of employees at madvertise to approximately 95.
Haskell is used in the Research and Data Science group at madvertise, especially to tackle problems in large scale data analysis and machine learning. One example of our use of Haskell is in the initial design for a real-time bidding system for ad impressions, including optimizations for publisher revenue and liquidity management. Such a system must support a high level of concurrency as each ad request results in a full-cycle auction taking place, and Haskell excels in such an environment. Another example of our usage of Haskell is in the toolchain for constructing a system to measure and act upon information theoretic entropy for high-frequency data in a real-time fashion.
Haskell is used at madvertise as a general purpose language that is preferred for making full use of multicore hardware, providing code correctness, and for providing clarity and stability through the type system. We plan to continue to use Haskell where appropriate, including the possibility of production systems in the future, and to open-source as many of our tools as possible.
OpenBrain Ltd. is developing a new platform for statistical computing that enables optimal decisions taking into account all the available information. We have developed a new statistical programming language (BAYSIG) that augments a Haskell-like functional programming language with Bayesian inference and first-class ordinary and stochastic differential equations. BAYSIG is designed to support a declarative style of programming where almost all the work consists in building probabilistic models of observed data. Data analysis, risk assessment, decision, hypothesis testing and optimal control procedures are all derived mechanically from the definition of these models. We are targeting a range of application areas, including financial, clinical and life sciences data.
We are building a web application (http://BayesHive.com) to make this platform accessible to a wide range of users. Users can upload and analyse varied types of data using a point-and-click interface. Models and analyses are collected in literate programming-like documents that can be published by users as blogs.
We use Haskell for almost all aspects of implementing this platform. The BAYSIG compiler is written in Haskell, which is particularly well suited for implementing the recursive syntactical transformations underlying statistical inference. BayesHive.com is being developed in Yesod.
<tomn at openbrain.org>
There are many different courses on Haskell and Agda that run at Eötvös Lorand University, Faculty of Informatics.
There is an interactive online evaluation and testing system, called ActiveHs. It contains several hundred systematized exercises and it may be also used as a teaching aid. There is also some experimenting going on about supporting SVG graphics, and extending the embedded interpreter and testing environment with safe emulation of IO values, providing support for Agda. ActiveHs is now also avaiable on Hackage.
We have been translating our course materials to English, some of the materials is already available.
|Report by:||David Sabel|
|Participants:||Conrad Rau, Manfred Schmidt-Schauß|
Semantics of programming languages. One of our research interests focuses on programming language semantics, especially on contextual equivalence and bisimilarity. Deterministic call-by-need lambda calculi with letrec provide a semantics for the core language of Haskell. For such extended lambda calculi we proved correctness of strictness analysis using abstract reduction, equivalence of the call-by-name and call-by-need semantics, and completeness of applicative bisimilarity w.r.t. contextual equivalence. We also explored several nondeterministic extensions of call-by-need lambda calculi and their applications. An important result is that for calculi with letrec and nondeterminism usual definitions of applicative similarity are unsound w.r.t. contextual equivalence.
A recent topic are core languages of concurrent programming languages, like Concurrent Haskell. We analyzed a higher-order functional language with concurrent threads, monadic IO, synchronizing variables and implicit, monadic, and concurrent futures. Using contextual equivalence based on may- and should-convergence, we have shown that several transformations preserve program equivalence. We also proved correctness of a Sestoft-like abstract machine for this language. An important result is that the language with concurrency conservatively extends the pure core language of Haskell, i.e. all program equivalences for the pure part also hold in the concurrent language.
Most recently, we analyzed Software Transactional Memory in a concurrent calculus with futures. An obviously correct big-step-semantics was used as a specification to show correctness of a highly concurrent implementation.
An ongoing project tries to automate correctness proofs of program transformations. These proofs require to compute so-called forking and commuting diagrams. We implemented an algorithm as a combination of several unification algorithms in Haskell which computes these diagrams. To conclude the correctness proofs we automated the corresponding induction proofs (which use the diagrams) using automated termination provers for term rewriting systems.
Grammar based compression. Another research topic of our group focuses on algorithms on grammar compressed strings and trees. One goal is to reconstruct known algorithms on strings and terms (unification, matching, rewriting etc.) for their use on grammars without prior decompression. We implemented several of those algorithms in Haskell which are available as a Cabal package.
The Functional Programming group at Kent is a subgroup of the Programming Languages and Systems Group of the School of Computing. This September we welcomed Scott Owens as a new group member and lecturer. We are a group of staff and students with shared interests in functional programming. While our work is not limited to Haskell — in particular our interest in Erlang has been growing — Haskell provides a major focus and common language for teaching and research.
Our members pursue a variety of Haskell-related projects, some of which are reported in other sections of this report, such as Simon Thompson’s text book Haskell: the craft of functional programming. At the Haskell Implementors Workshop 2012 Thomas Schilling presented his work on trace-based dynamic optimisations for Haskell programs. Olaf Chitil presented at ICFP 2012 his practial lazy contracts for Haskell, which are available from Hackage. He also maintains the Haskell IDE Heat. Recently he resurrected the Haskell tracer Hat (→6.4.2). Hat is now on Hackage and new developments have started.
We are always looking for PhD students to work with us. We are particularly keen to recruit students interested in programming tools for tracing, refactoring, type checking and any useful feedback for a programmer. The school and university have support for strong candidates: more details at http://www.cs.kent.ac.uk/pg or contact any of us individually by email.
|Report by:||Christian Maeder|
|Participants:||Mihai Codescu, Dominik Dietrich, Christoph Lüth, Till Mossakowski|
The activities of our group center on formal methods, covering a variety of formal languages and also translations and heterogeneous combinations of these.
We are using the Glasgow Haskell Compiler and many of its extensions to develop the Heterogeneous tool set (Hets). Hets consists of parsers, static analyzers, and proof tools for languages from the CASL family, such as the Common Algebraic Specification Language (CASL) itself (which provides many-sorted first-order logic with partiality, subsorting and induction), HasCASL, CoCASL, CspCASL, and an extended modal logic based on CASL.
Other languages supported include Isabelle, QBF, Maude, VSE, TPTP, THF, FPL (logic of functional programs), LF type theory and still Haskell (via Programatica). More recently, description logics like OWL, RDF, Common Logic, and DOL (the Distributed Ontology Language) have been integrated.
The user interface of the Hets implementation (about 200K lines of Haskell code) is based on some old Haskell sources such as bindings to uDrawGraph (formerly Davinci) and Tcl/TK that we maintain and also gtk2hs (→7.8.1), but we are moving to a mere web interface based on warp (→5.2.2).
HasCASL is a general-purpose higher-order language which is in particular suited for the specification and development of functional programs; Hets also contains a translation from an executable HasCASL subset to Haskell. There is a prototypical translation of a subset of Haskell to Isabelle/HOL.
Haskell is one of the main research topics of the new Programming Languages Group at the Department of Applied Mathematics and Computer Science at the University of Ghent, Belgium.
Teaching. UGent is a great place for Haskell-aficionados:
Research. Haskell-related projects of the group members and collaborators are:
Formalizing meta-theory, or proofs about programming languages, in a proof assistant has many well-known benefits. However, the considerable effort involved in mechanizing proofs has prevented it from becoming standard practice. This cost can be amortized by reusing as much of an existing formalization as possible when building a new language or extending an existing one. Unfortunately reuse of components is typically ad-hoc, with the language designer cutting and pasting existing definitions and proofs, and expending considerable effort to patch up the results. This work presents a more structured approach to the reuse of formalizations of programming language semantics through the composition of modular definitions and proofs. The key contribution is the development of an approach to induction for extensible Church encodings which uses a novel reinterpretation of the universal property of folds. These encodings provide the foundation for a framework, formalized in Coq, which uses type classes to automate the composition of proofs from modular components.
Several interesting language features, including binders and general recursion, illustrate the capabilities of our framework. We reuse these features to build fully mechanized definitions and proofs for a number of languages, including a version of mini-ML. Bounded induction enables proofs of properties for non-inductive semantic functions, and mediating type classes enable proof adaptation for more feature-rich languages.
This is joint work with Ben Delaware and Bruno Oliveira.
This work presents a datatype-generic approach to syntax with variable binding. A universe specifies the binding and scoping structure of object languages, including binders that bind multiple variables as well as sequential and recursive scoping. Two interpretations of the universe are given: one based on parametric higher-order abstract syntax and one on well-typed de Bruijn indices. The former provides convenient interfaces to embedded domain-specific languages, but is awkward to analyse and manipulate directly, while the latter is a convenient representation in implementations, but is unusable as a surface language. We show how to generically convert from the parametric HOAS interpretation to the de Bruijn interpretation thereby taking the pain from DSL developer to write the conversion themselves.
This is joint work with Johan Jeuring.
Incremental Programming (IP) is a programming style in which new program components are defined as increments of other components. Examples of IP mechanisms include: Object-oriented programming (OOP) inheritance, aspect-oriented programming (AOP) advice and feature-oriented programming (FOP). A characteristic of IP mechanisms is that, while individual components can be independently defined, the composition of components makes those components become tightly coupled, sharing both control and data flows. This makes reasoning about IP mechanisms a notoriously hard problem: modular reasoning about a component becomes very difficult; and it is very hard to tell if two tightly coupled components interfere with each other’s control and data flows.
This work presents modular reasoning about interference (MRI), a purely functional model of IP embedded in Haskell. MRI models inheritance with mixins and side-effects with monads. It comes with a range of powerful reasoning techniques: equational reasoning, parametricity and reasoning with algebraic laws about effectful operations. These techniques enable modular reasoning about interference in the presence of side-effects.
MRI formally captures harmlessness, a hard-to-formalize notion in the interference literature, in two theorems. We prove these theorems with a non-trivial combination of all three reasoning techniques.
This is joint work with Bruno Oliveira and William Cook.
Search heuristics often make all the difference between effectively solving a combinatorial problem and utter failure. Hence, the ability to swiftly design search heuristics that are tailored towards a problem domain is essential to performance improvement. In other words, this calls for a high-level domain-specific language (DSL).
The tough technical challenge we face when designing a DSL for search heuristics, is to bridge the gap between a conceptually simple specification language (high-level, purely functional and naturally compositional) and an efficient implementation (typically low-level, imperative and highly non-modular). We overcome this challenge with a systematic approach in Haskell that disentangles different primitive concepts into separate monadic modular mixin components, each of which corresponds to a feature in the high-level DSL. The great advantage of mixin components to provide a semantics for our DSL is its modular extensibility.
This is joint work with Guido Tack, Pieter Wuille, Horst Samulowitz and Peter Stuckey, following up on Monadic Constraint Programming, a monadic DSL for Constraint Programming in Haskell.
|Report by:||Erik de Castro Lopo|
|Participants:||Ben Lippmeier, Shane Stephens, and others|
We are a seminar and social group for people in Sydney, Australia, interested in Functional Programming and related fields. Members of the group include users of Haskell, Ocaml, LISP, Scala, F#, Scheme and others. We have 10 meetings per year (Feb–Nov) and meet on the third Thursday of each month. We regularly get 20–30 attendees, with a 70/30 industry/research split. Talks this year have included material on compilers, theorem proving, type systems, Haskell web programming, OCaml and Jocaml. We usually have about 90 mins of talks, starting at 6:30pm, then go for drinks afterwards. All welcome.
Functional Programming is an important component of the Department of Computer Science and Engineering at Chalmers. In particular, Haskell has a very important place, as it is used as the vehicle for teaching and numerous projects. Besides functional programming, language technology, and in particular domain specific languages is a common aspect in our projects.
Property-based testing.QuickCheck, developed at Chalmers, is one of the standard tools for testing Haskell programs. It has been ported to Erlang and used by Ericsson, Quviq, and others. QuickCheck continues to be improved; tools and related techniques:
Natural language technology.Grammatical Framework (http://www.haskell.org/communities/11-2010/html/report.html#sect9.7.3) is a declarative language for describing natural language grammars. It is useful in various applications ranging from natural language generation, parsing and translation to software localization. The framework provides a library of large coverage grammars for currently fifteen languages from which the developers could derive smaller grammars specific for the semantics of a particular application.
Parser generator and template-haskell.BNFC-meta is an embedded parser generator, presented at the Haskell Symposium 2011. Like the BNF Converter, it generates a compiler front end in Haskell. Two aspects distinguish BNFC-meta from BNFC and other parser generators:
Generic Programming.Starting with Polytypic Programming in 1995 there is a long history of generic programming research at Chalmers. Recent developments include fundamental work on “Proofs for Free” (extensions of the parametricity &dependent types work from ICFP 2010, now published in JFP 2012). Patrik Jansson leads a work-package on DSLs within the EU project “Global Systems Dynamics and Policy” (http://www.gsdp.eu/, started Oct. 2010). If you want to apply DSLs, Haskell, and Agda to help modelling Global Systems Science, please get in touch! Jansson and Bernardy have also just started a new project called “Strongly Typed Libraries for Programs and Proofs”.
Language-based security.SecLib is a light-weight library to provide security policies for Haskell programs. The library provides means to preserve confidentiality of data (i.e., secret information is not leaked) as well as the ability to express intended releases of information known as declassification. Besides confidentiality policies, the library also supports another important aspect of security: integrity of data. SecLib provides an attractive, intuitive, and simple setting to explore the security policies needed by real programs.
Type theory.Type theory is strongly connected to functional programming research. Many dependently-typed programming languages and type-based proof assistants have been developed at Chalmers. The Agda system (→4.1) is the latest in this line, and is of particular interest to Haskell programmers. We encourage you to experiment with programs and proofs in Agda as a “dependently typed Haskell”.
Embedded domain-specific languages.The functional programming group has developed several different domain-specific languages embedded in Haskell. The active ones are:
The following languages are not actively developed at the moment:
Automated reasoning.We are responsible for a suite of automated-reasoning tools:
Teaching.Haskell is present in the curriculum as early as the first year of the Bachelors program. We have four courses solely dedicated to functional programming (of which three are Masters-level courses), but we also provide courses which use Haskell for teaching other aspects of computer science, such as programming languages, compiler construction, hardware description and verification, data structures and programming paradigms.
Functional Programming is vibrant at KU and the Computer Systems Design Laboratory in ITTC! The System Level Design Group (lead by Perry Alexander) and the Functional Programming Group (lead by Andy Gill) together form the core functional programming initiative at KU. Apart from Kansas Lava (→7.16.2) and HERMIT (→7.5.1), there are several other FP and Haskell related things going on, primarily in the area of web technologies.
Towards this, we have developed a lightweight web framework called Scotty. Modeled after Ruby’s popular Sinatra framework, Scotty is intended to be a cheap and cheerful way to write RESTful, declarative web applications. Scotty borrows heavily from the Yesod (→5.2.6) ecosystem, conforming to the WAI (→5.2.1) interface and using the fast Warp (→5.2.2) web server by default. More information can be found at the link below.
Finally, in August 2012 Nicolas Frisby successfully defended his PhD, and plans to start an internship at MSR Cambridge early next year.
The San Simon Haskell Community from San Simon University Cochabamba-Bolivia, is an informal Spanish group that aims to learn, share information, knowledge and experience related to the functional paradigm.
On October last year, we participated on the XVIII National Congress of Computer Science of Bolivia (Congreso Nacional de Ciencias de la Computacin de Bolivia), in which we organized two special activities: a Journal in Functional Programming (We had a very good introduction to functional paradigm and haskell [Msc. Vladimir Costas] and many short talks about the benefits of knowing Haskell and other functional languages [members of San Simon Haskell Community]) and the 2nd Open House Haskell Community (We showed some of the projects we were working on).
Projects in the 2nd Open House Haskell Community:
This year, we are planning to organize the 2nd local Haskell Hackathon and the 3rd Open House Haskell Community. That’s all for now, see you on facebook.
|Report by:||Andy Georges|
|Participants:||Jeroen Janssen, Tom Schrijvers, Jasper Van der Jeugt|
The Ghent Functional Programming Group is a user group aiming to bring together programmers, academics, and others interested in functional programming located in the area of Ghent, Belgium. Our goal is to have regular meetings with talks on functional programming, organize functional programming related events such as hackathons, and to promote functional programming in Ghent by giving after-hours tutorials. While we are open to all functional languages, quite frequently, the focus is on Haskell, since most attendees are familiar with this language. The group has been active for two and a half years, holding meetings on a regular basis.
We have reported in previous HCARs on the first eleven meetings. Since May 2012, we had a single meeting. The GhentFPG #12 meeting took place on May 8, 2012 and involved two talks.
The attendance at the meetings usually varies between 10 to 15 people. We do have a number of Ghent University students attending. However, due to a shift in venue, the attendence has dropped slighty.
The plans for the fall 2012 Hackathon have shifted due to busy schedules of the GhentFPG organisers. In this academic year, we do plan to review the approach used during the meetings, because talks seem to attract more attendees compared to problem solving or coding events.
If you want more information on GhentFPG you can follow us on twitter (@ghentfpg), via Google Groups (http://groups.google.com/group/ghent-fpg), or by visiting us at irc.freenode.net in channel #ghentfpg.