From 47cc5c2bb7922f867a5b800ddfc0adb13198b2af Mon Sep 17 00:00:00 2001
From: Noah Trumpik <noah.trumpik@tu-dresden.de>
Date: Tue, 21 Feb 2023 06:55:17 +0100
Subject: [PATCH] - applied suggestions
---
doc.zih.tu-dresden.de/docs/software/spec.md | 27 ++++++++++++---------
1 file changed, 15 insertions(+), 12 deletions(-)
diff --git a/doc.zih.tu-dresden.de/docs/software/spec.md b/doc.zih.tu-dresden.de/docs/software/spec.md
index a03c45fbf..f778af442 100644
--- a/doc.zih.tu-dresden.de/docs/software/spec.md
+++ b/doc.zih.tu-dresden.de/docs/software/spec.md
@@ -7,14 +7,15 @@ system 'Taurus' (partition `haswell`) is the benchmark's reference system denoti
The tool includes nine real-world scientific applications (see
[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 models
-including MPI only, MPI+OpenACC, MPI+OpenMP and MPI+OpenMP with target offloading. With this
-benchmark suite you can compare the performance of different HPC systems. Furthermore, it can also be used to
-evaluate parallel strategies for applications on a target HPC system.
-When you e.g. want to implement an algorithm, port an application to another platform or integrate acceleration into
-your code, you can determine from which target system and parallelization model your application
-performance could benefit most, or if deployment and acceleration schemes are even possible on a
-given system.
+with different workload sizes ranging from tiny, small, medium to large, and different parallelization
+models including MPI only, MPI+OpenACC, MPI+OpenMP and MPI+OpenMP with target offloading. With this
+benchmark suite you can compare the performance of different HPC systems and furthermore, evaluate
+parallel strategies for applications on a target HPC system. When you e.g. want to implement an
+algorithm, port an application to another platform or integrate acceleration into your code,
+you can determine from which target system and parallelization model your application
+performance could benefit most. Or this way you can check whether an acceleration scheme can be
+deployed and run on a given system, since there could be software issues restricting a 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
interested. Please contact
@@ -203,13 +204,15 @@ medium or large, test or reference).
!!! success "Solution"
- - Use the correct MPI module
+ 1. Use the correct MPI module
- The MPI module in use must be compiled with the same compiler that was used to build the
- benchmark binaries. Check with `module avail` and choose a suitable module.
- - Rebuild the binaries
+ benchmark binaries. Check the results of `module avail` and choose a corresponding module.
+ 1. Rebuild the binaries
- Rebuild the binaries using the same compiler as for the compilation of the MPI module of
choice.
- - Build your own MPI module
+ 1. Request a new module
+ - Ask the HPC support to install a compatible MPI module.
+ 1. Build your own MPI module (as a last step)
- Download and build a private MPI module using the same compiler as for building the
benchmark binaries.
--
GitLab