Sounds like a great project, would be really great to have a core.matrix 
implementation running on the GPU!

I'm not too familiar with aparapi. Since core.matrix uses fairly 
well-defined operations, it might be simpler to code the key ones directly 
in OpenCL rather than going via Java bytecode translation. 

I think the bytecode translation is interesting however if you want to run 
arbitrary Clojure code on the GPU. If it works well enough, you might even 
be able to do things like:

(ereduce some-reduce-function (emap some-mapping-function some-gpu-array))

That would be pretty impressive!

There has also been some discussion on GPU / LLVM related topics on the 
numerical Clojure group:
https://groups.google.com/forum/#!forum/numerical-clojure


On Tuesday, 5 August 2014 16:22:17 UTC+8, Miki Nobuhiro wrote:
>
> Hello, everyone.
> I want to calculate matrix operations by GPU compuring,
> and here is my code.
>
> https://github.com/bobuhiro11/aparapi-matrix
> https://clojars.org/aparapi-matrix
>
> Now, I have some questions.
>
> 1.
> aparapi-matrix uses Aparapi(https://code.google.com/p/aparapi/).
> Is this choice correct?
> A top priority is not to waste user's precious time.
>
> 2.
> I cannot find a repository for Aparapi, so users have to download by hand.
> Could you tell me better ways?
>
>

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