Dataset Open Access
EZ publication: source code, profiling, analysis and simulation data
Steiniger, Klaus;
Widera, René;
Young, Jeff
DCAT Export
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<dcat:keyword>EZ</dcat:keyword>
<dcat:keyword>charge conservation</dcat:keyword>
<dcat:keyword>current deposition</dcat:keyword>
<dcat:keyword>PIConGPU</dcat:keyword>
<dcat:keyword>particle-in-cell</dcat:keyword>
<dcat:keyword>profiling</dcat:keyword>
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<dcat:keyword>Spock</dcat:keyword>
<dcat:keyword>Summit</dcat:keyword>
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<dct:description><p>Data&nbsp;of the PIConGPU simulations as used in the publication: EZ: An Efficient, Charge Conserving Current Deposition Algorithm for Electromagnetic Particle-In-Cell Simulations</p> <p>Data overview:</p> <ul> <li>picongpu_source.zip:&nbsp; <ul> <li>source code forked from the PIConGPU mainline version&nbsp;0.7.0-dev</li> <li>used input set `share/picongpu/examples/PaperThermal`</li> </ul> </li> <li>runs_charge_conservation.zip: <ul> <li>output including hdf5 dumps to validate&nbsp;charge conservation property for the PaperThermal setup&nbsp;(warm plasma)</li> </ul> </li> <li>runs_performance.zip: <ul> <li>simulation timings output for Spock CPU, Spock GPU&nbsp;and Summit GPU runs</li> </ul> </li> <li>runs_profiling.zip: <ul> <li>profile data for Spock GPU&nbsp;and Summit GPU runs</li> </ul> </li> <li>runs_singleParticleTest.zip: <ul> <li>output including hdf5 dumps to validate&nbsp;charge conservation property for the single particle test</li> </ul> </li> <li>analysis_scripts.zip:&nbsp; <ul> <li>jupyter notebooks for setup and analysis of PaperThermal setup</li> <li>python script to plot charge conservation from hdf5 simulation output over time</li> <li>bash script for statistical analysis of performance runs</li> </ul> </li> </ul> <p>&nbsp;</p> <p>&nbsp;</p></dct:description>
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| All versions | This version | |
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| Views | 704 | 704 |
| Downloads | 1,727 | 1,727 |
| Data volume | 7.4 TB | 7.4 TB |
| Unique views | 334 | 334 |
| Unique downloads | 151 | 151 |
- Publication date:
- April 1, 2022
- DOI:
-
- Keyword(s):
- EZ charge conservation current deposition PIConGPU particle-in-cell profiling CUDA HIP NVIDIA AMD Spock Summit HPC
- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-34475 - Referenced by:
https://www.hzdr.de/publications/Publ-34476 - Communities:
- License (for files):
- Creative Commons Attribution 4.0 International