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Dataset . 2020
License: CC BY
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Dataset . 2020
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Scalasca summary analysis of HemeLB_GPU application execution with 129 MPI processes on JUWELS/V100

Research datakeyboard_double_arrow_right Dataset 12 Oct 2020Publisher:ZenodoFunded by:EC | POP2, EC | CompBioMed
Authors: Wylie, Brian J. N.;

doi: 10.5281/zenodo.4081080 , 10.5281/zenodo.4081079

Scalasca summary analysis of HemeLB_GPU application execution with 129 MPI processes on JUWELS/V100

Abstract

The CompBioMed HPC CoE flagship application HemeLB (prototype GPU version) was run with a (patched) arteries geometry dataset on JSC's JUWELS supercomputer, and its execution performance with 129 MPI processes on 32 dual 20-core CPU + quad V100 GPU compute nodes measured by Score-P and analysed by Scalasca (and Vampir)

Keywords

Scalasca Score-P CUBE HemeLB JUWELS MPI+GPU

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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