Personal tools

ThreadScope Tour

From HaskellWiki

(Difference between revisions)
Jump to: navigation, search
(bookmark chapter)
(more prominent links to TS)
Line 1: Line 1:
 
__NOTOC__
 
__NOTOC__
''A guided tour of ThreadScope''
+
''A guided tour of [[ThreadScope]]''
   
 
In this tutorial, we'll be working through concrete examples on using ThreadScope to debug the performance of parallel programs.
 
In this tutorial, we'll be working through concrete examples on using ThreadScope to debug the performance of parallel programs.
Line 10: Line 10:
 
This tutorial is written with the following software versions in mind.
 
This tutorial is written with the following software versions in mind.
   
* ThreadScope 0.2.1
+
* [[ThreadScope]] 0.2.1
 
* GHC 7.4. (earlier versions work, but lack more advanced features like spark events)
 
* GHC 7.4. (earlier versions work, but lack more advanced features like spark events)
   

Revision as of 21:32, 20 December 2011

A guided tour of ThreadScope

In this tutorial, we'll be working through concrete examples on using ThreadScope to debug the performance of parallel programs.

We aim to keep each module in the tutorial self-contained, so you can either follow the progression suggested or jump to just the sections we need.

Software

This tutorial is written with the following software versions in mind.

  • ThreadScope 0.2.1
  • GHC 7.4. (earlier versions work, but lack more advanced features like spark events)
Getting started
ThreadScope-ch8.png
  1. Installation: install ThreadScope and run a sample trace
  2. Hello world: run ThreadScope on a small test program
Basic skills
ThreadScope-sudoku2.png
  1. Initial statistics: collect some simple statistics
  2. Profile: examine the profile for a real program
  3. Profile 2: examine the profile for an improved program
  4. Zoom: zoom in to see performance behaviour at a finer resolution
  5. Bookmark: place a temporary marker in the eventlog
  6. Consolidate: tease out the sequential parts of code
Digging into a program with spark events
Spark-lifecycle.png
  1. Spark overview
  2. Spark rates: study spark creation/conversion
  3. Spark rates 2: spark debugging continued
Reference

This tutorial was initially written by Well-Typed in the context of the Parallel GHC Project. Feedback would be most appreciated!