ideas for compiler project

[Eray Ozkural (exa)]

-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA1

On Tuesday 22 January 2002 23:59, Hal Daume III wrote:

> I'm open to all ideas...

Here is one: a matlab like matrix based language that is compiled into 
efficient parallel shared-nothing code. You can go for dense or sparse 
matrices, and allow imperative features or not.

The compiler decides all data distribution/replication. The general case is 
too difficult but you could take a very limited language, ie array 
expressions with a few operations like A <- A^T * (B + C * C )

An easier one would use HPF style hints from the programmer for data 
distribution. 

 distribute A checker-board
 B <- f (A * A^T)

The compiler would align B with A, ie infer B's distribution from A's looking 
at the statement above.

Thanks,

- -- 
Eray Ozkural (exa) <erayo@cs.bilkent.edu.tr>
Comp. Sci. Dept., Bilkent University, Ankara
www: http://www.cs.bilkent.edu.tr/~erayo
GPG public key fingerprint: 360C 852F 88B0 A745 F31B  EA0F 7C07 AE16 874D 539C
-----BEGIN PGP SIGNATURE-----
Version: GnuPG v1.0.6 (GNU/Linux)
Comment: For info see http://www.gnupg.org

iD8DBQE8TiR4fAeuFodNU5wRAmsdAJ9eAsQ9gj6g4hAqGljonvL34ZX5hACgpvlr
wEnS4v5eljrvR5J02FfOi8g=
=LJbf
-----END PGP SIGNATURE-----