[Openmp-dev] GPU Accelerator Offloading Benchmarks

Wed Oct 11 09:41:10 PDT 2017

Yes these SNU OMP 3.1 C codes are quite useful (and some of the authors of
this software also attend SC and have a booth on the showfloor. I met one
or 2 of the last year at SC).

On a related note, some of us (w/ NASA) in my group have just begun to
create OpenMP 4.5 NPB codes (that did not make it to the SPEC HPG). We will
keep you informed.

Thanks
Sunita

**********************************
Sunita Chandrasekaran
Asst. Prof. Computer and Information Sciences
Affiliated, Center for Bioinformatics and Computational Biology
430 Smith Hall, University of Delaware
p: 302-831-2714 <(302)%20831-2714> e: schandra at udel.edu
----------------------------------------
Adjunct Prof. Dept. of Computer Science
University of Houston, TX
----------------------------------------
t: https://twitter.com/chandrasunita
w: https://www.eecis.udel.edu/~schandra/
CRPL
Research Group:
http://crpl.cis.udel.edu/

On Wed, Oct 11, 2017 at 12:24 PM, Jeff Hammond via Openmp-dev <
openmp-dev at lists.llvm.org> wrote:

> I just found http://aces.snu.ac.kr/software/snu-npb/ today, but have not
> tried it.
>
> Jeff
>
> On Tue, Oct 10, 2017 at 7:37 AM, Jeff Hammond <jeff.science at gmail.com>
> wrote:
>
>> https://github.com/ParRes/Kernels/tree/master/Cxx11 implements at least
>> two kernels in OpenCL, GPU-oriented OpenMP4 (#pragma omp teams
>> distribute parallel for simd collapse(2) schedule(static,1) as
>> recommended by NVIDIA), RAJA, Kokkos, and numerous CPU implementations.
>>
>> You’ll need to (1) tune the OpenCL code for your GPU as it is currently
>> not optimized for any architecture and (2) tweak the RAJA and KOKKOS
>> implementations to target GPU models in addition to CPU ones. Neither
>> should be very difficult and the PRK team is happy to provide assistance.
>>
>> That project contains one C++ CUDA and two Fortran OpenACC
>> implementations but these are unfinished and need work. However, I’m very
>> happy to see others contribute better versions.  It may not be the easiest
>> route to fame and fortune, but it’s not the worst either 😂
>>
>> Write me privately or create GitHub issues if you have questions. I am
>> currently on leave from my day job but will be responsive via GMail and
>> GitHub.
>>
>> Sorry if this is a repost. I intended to reply early but didn’t and can’t
>> find it if I did, but mistakes have been known to occur.
>>
>> Jeff
>>
>> Sent from my iPhone
>>
>> On Oct 10, 2017, at 6:56 AM, Jonas Hahnfeld via Openmp-dev <
>> openmp-dev at lists.llvm.org> wrote:
>>
>> Hi,
>>
>> some (public) benchmarks that come to my mind:
>> * LULESH: https://codesign.llnl.gov/lulesh.php
>> * CloverLeaf: http://uk-mac.github.io/CloverLeaf/
>> * my own, a Conjugate Gradient solver: https://github.com/hahnjo/CGxx
>>
>> As James wrote, SPEC ACCEL also has an OpenMP suite, but you need a
>> license.
>>
>> Regards
>> Jonas
>>
>> Am 2017-10-10 09:43, schrieb Daniel Schürmann via Openmp-dev:
>>
>> Hello together,
>>
>> as the title states, I am looking for benchmarks which are
>>
>> particularly suitable for GPU accelerators (or at least make use of
>>
>> the #teams pragma).
>>
>> I already tried rodinia benchmark suite, but they seem to be written
>>
>> for CPU acceleration only.
>>
>> I would be very pleased if someone could provide me with one or more
>>
>> kernels which can be used with the NVPTX backend.
>>
>> The purpose is a master thesis about using OpenCL and SPIR-V as OpenMP
>> backend.
>>
>> Thank you in advance and
>>
>> kind regards,
>>
>> Daniel
>>
>> _______________________________________________
>>
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>>
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>>
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>>
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>>
>
>
> --
> Jeff Hammond
> jeff.science at gmail.com
> http://jeffhammond.github.io/
>
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>
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