On Wed, Mar 12, 2008 at 2:33 PM, Andrew Coppin
Hanging around here, you really feel like you're at the cutting edge of... something... heh.
Another approach isn't to target a CUDA back end for Haskell but to write an array library that builds computations that can target a CUDA (or other) back end. My first real world job that involved programming was APL [1] based. APL (and its offspring) is a functional-ish programming language that manipulates arrays using a relatively small number of primitives, most of which probably map nicely to CUDA hardware because of the potential for data parallelism. Despite the write-only nature of APL source code, and the negative comments about it by Dijkstra, the expressivity of APL for numerical work is unbelievable. I would love to see some of those ideas somehow brought into Haskell as a library. [1] http://en.wikipedia.org/wiki/APL_%28programming_language%29 -- Dan