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Dataset . 2020
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Dataset . 2020
License: CC BY
Data sources: Datacite
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Dataset . 2020
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Dataset . 2020
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Dataset . 2020
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Claim

Scalasca summary analysis of HemeLB application execution with 13824 MPI processes on SuperMUC-NG

Research datakeyboard_double_arrow_right Dataset 21 Sep 2020Publisher:ZenodoFunded by:EC | CompBioMed, EC | POP2
Authors: Brian J. N. Wylie;

doi: 10.5281/zenodo.4040991 , 10.5281/zenodo.4080701 , 10.5281/zenodo.4040992

Scalasca summary analysis of HemeLB application execution with 13824 MPI processes on SuperMUC-NG

Abstract

The CompBioMed HPC CoE flagship application HemeLB was run with a 6.4 micron resolution "circle of Willis" geometry dataset on LRZ's SuperMUC-NG supercomputer, and its execution performance with 13824 MPI processes on 288 dual 24-core compute nodes measured by Score-P (including PAPI hardware counters) and analysed by Scalasca.

Keywords

SuperMUC-NG, HemeLB, Score-P, Scalasca, CUBE

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selected citations
These citations are derived from selected sources.
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!
views
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