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ZIH
hpcsupport
hpc-compendium
Commits
170ce212
Commit
170ce212
authored
2 years ago
by
Martin Schroschk
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Add new file spec.md to software - menu item Performance Engineering Tools
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@@ -8,15 +8,15 @@ the baseline score.
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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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