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Commit 170ce212 authored by Martin Schroschk's avatar Martin Schroschk
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...@@ -8,15 +8,15 @@ the baseline score. ...@@ -8,15 +8,15 @@ the baseline score.
The tool includes nine real-world scientific applications (see The tool includes nine real-world scientific applications (see
[benchmark table](https://www.spec.org/hpc2021/docs/result-fields.html#benchmarks)) [benchmark table](https://www.spec.org/hpc2021/docs/result-fields.html#benchmarks))
with different workload sizes ranging from tiny, small, medium to large, and different parallelization with different workload sizes ranging from tiny, small, medium to large, and different
models including MPI only, MPI+OpenACC, MPI+OpenMP and MPI+OpenMP with target offloading. With this parallelization models including MPI only, MPI+OpenACC, MPI+OpenMP and MPI+OpenMP with target
benchmark suite you can compare the performance of different HPC systems and furthermore, evaluate offloading. With this benchmark suite you can compare the performance of different HPC systems and
parallel strategies for applications on a target HPC system. When you e.g. want to implement an furthermore, evaluate parallel strategies for applications on a target HPC system. When you e.g.
algorithm, port an application to another platform or integrate acceleration into your code, want to implement an algorithm, port an application to another platform or integrate acceleration
you can determine from which target system and parallelization model your application into your code, you can determine from which target system and parallelization model your
performance could benefit most. Or this way you can check whether an acceleration scheme can be application performance could benefit most. Or this way you can check whether an acceleration scheme
deployed and run on a given system, since there could be software issues restricting a capable can be deployed and run on a given system, since there could be software issues restricting a
hardware (see this [CUDA issue](#cuda-reduction-operation-error)). capable hardware (see this [CUDA issue](#cuda-reduction-operation-error)).
Since TU Dresden is a member of the SPEC consortium, the HPC benchmarks can be requested by anyone Since TU Dresden is a member of the SPEC consortium, the HPC benchmarks can be requested by anyone
interested. Please contact interested. Please contact
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