Dataset Open Access

EZ publication: source code, profiling, analysis and simulation data

Steiniger, Klaus; Widera, René; Young, Jeff

Data of the PIConGPU simulations as used in the publication: EZ: An Efficient, Charge Conserving Current Deposition Algorithm for Electromagnetic Particle-In-Cell Simulations

Data overview:

  • picongpu_source.zip: 
    • source code forked from the PIConGPU mainline version 0.7.0-dev
    • used input set `share/picongpu/examples/PaperThermal`
  • runs_charge_conservation.zip:
    • output including hdf5 dumps to validate charge conservation property for the PaperThermal setup (warm plasma)
  • runs_performance.zip:
    • simulation timings output for Spock CPU, Spock GPU and Summit GPU runs
  • runs_profiling.zip:
    • profile data for Spock GPU and Summit GPU runs
  • runs_singleParticleTest.zip:
    • output including hdf5 dumps to validate charge conservation property for the single particle test
  • analysis_scripts.zip: 
    • jupyter notebooks for setup and analysis of PaperThermal setup
    • python script to plot charge conservation from hdf5 simulation output over time
    • bash script for statistical analysis of performance runs

 

 

Files (22.0 GB)
Name Size
analysis_scripts.zip
md5:42e1f60c6d51c3367e15a2166279671d 		13.8 kB Download
picongpu_source.zip
md5:96a8d00aea6d2a7fc784ca5535d1970e 		8.8 MB Download
runs_charge_conservation.zip
md5:3721e109d0de03eea3fccb42b3208c2a 		22.0 GB Download
runs_performance.zip
md5:5c3f3516663c433a2a0ec65534e6c6d0 		73.5 kB Download
runs_profiling.zip
md5:3d0cec42682e8c2e3f7ebe2b52499820 		22.6 MB Download
runs_singleParticleTest.zip
md5:5840656b8fec8069ffcaaabc97b344fc 		4.3 MB Download
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Publication date:
April 1, 2022
DOI:
10.14278/rodare.1511

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10.14278/rodare.1511

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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

Versions

Version 1.0 10.14278/rodare.1511 Apr 1, 2022
Cite all versions? You can cite all versions by using the DOI 10.14278/rodare.1510. This DOI represents all versions, and will always resolve to the latest one. Read more.

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Cite as

Steiniger, Klaus, Widera, René, & Young, Jeff. (2022). EZ publication: source code, profiling, analysis and simulation data (Version 1.0) [Data set]. Rodare. http://doi.org/10.14278/rodare.1511
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