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8 results for “Scalasca”
Scalasca trace analysis of HemeLB application execution with 13824 MPI processes on SuperMUC-NG
<p>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 (using SIONlib) and analysed by Scalasca trace analyzer.</p>
Scalasca analysis report for SPEC MPI.2007 benchmark 132.zeump2 on 512 processes in virtual-node mode on Blue Gene/P
<p>A Cube3 performance analysis report written by the Scalasca 1.x parallel analyzer of a measurement of the SPEC MPI 2007 benchmark 132.zeusmp2 (ZeusMP/2) executed in virtual-node mode on 512 processes of the IBM Blue Gene/P system JUQUEEN, operated by Forschungszentrum Jülich GmbH.</p>
Scalasca analysis report of the ASCI Sweep3D benchmark on 294,912 processes in virtual-node mode on IBM Blue Gene/P with manually annotated iterations
<p>A Cube3 performance analysis report written by the Scalasca parallel analyzer of a measurement of the ASCI benchmark Sweep3D, executed in virtual-node mode on 294,912 processes of the IBM Blue Gene/P system JUQUEEN, operated by Forschungszentrum Jülich GmbH. The measurement includes system topology information and manual annotations of the twelve iterations.</p>
Scalasca analysis report of the ASCI Sweep3D benchmark on 65,536 processes in virtual-node mode on IBM Blue Gene/P
<p>A Cube3 performance analysis report written by the Scalasca Trace Analyzer of a measurement of the ASCI benchmark Sweep3D, executed in virtual-node mode on 65,536 processes of the IBM Blue Gene/P system JUQUEEN, operated by Forschungszentrum Jülich GmbH.</p>
Scalasca analysis report of the ASCI Sweep3D benchmark on 294,912 processes in virtual-node mode on IBM Blue Gene/P
<p>A Cube3 performance analysis report written by the Scalasca parallel analyzer of a measurement of the ASCI benchmark Sweep3D, executed in virtual-node mode on 294,912 processes of the IBM Blue Gene/P system JUQUEEN, operated by Forschungszentrum Jülich GmbH.</p>
Scalasca summary analysis of HemeLB_GPU application execution with 129 MPI processes on JUWELS/V100
<p>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)</p>
Scalasca summary analysis of HemeLB application execution with 13824 MPI processes on SuperMUC-NG
<p>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.</p>
Scalasca summary analysis of HemeLB application execution with 300000 MPI processes on SuperMUC-NG
<p>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 300000 MPI processes on 6250 dual 24-core compute nodes measured by Score-P (including PAPI hardware counters) and analysed by Scalasca.</p> <p>Two compute nodes with poor memory performance can be distinguished by examining the PAPI_RES_STL metric for resource stall cycles.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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