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Re: [starpu-devel] Using OpenACC to write GPU-accelerated kernels


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  • From: Samuel Thibault <samuel.thibault@labri.fr>
  • To: Cedric Augonnet <caugonnet@nvidia.com>
  • Cc: "starpu-devel@inria.fr" <starpu-devel@inria.fr>, "thomas.morin@etu.u-bordeaux.fr" <thomas.morin@etu.u-bordeaux.fr>
  • Subject: Re: [starpu-devel] Using OpenACC to write GPU-accelerated kernels
  • Date: Thu, 10 Mar 2022 12:55:12 +0100
  • Authentication-results: mail3-smtp-sop.national.inria.fr; spf=None smtp.pra=samuel.thibault@labri.fr; spf=Pass smtp.mailfrom=samuel.thibault@labri.fr; spf=None smtp.helo=postmaster@v-zimmta03.u-bordeaux.fr
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Hello,

Thanks a lot!

That'll save us reading docs to find these few couple bits of plugging :)

Samuel

Cedric Augonnet, le jeu. 10 mars 2022 09:55:57 +0000, a ecrit:
> From recent discussions with people using StarPU, I felt it could be
> somewhat
> useful to provide you with examples of kernels generated with OpenACC, which
> can probably make it much easier to write effecient GPU versions of your
> codelets. Note that if you are using CUDA, you probably already have access
> to
> these compilers anyway.
>
> If you are using NVIDIA compilers, that should be pretty easy with the -acc
> knob, and by following the example number 3. If the code is using another
> compiler, you can still generate a dynamic library and use it as shown in
> example 2.
>
> Best,
> Cédric



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