April 1, 2022 Dataset Open Access

Steiniger, Klaus; Widera, René; Young, Jeff

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  "url": "https://rodare.hzdr.de/record/1511", 
  "identifier": "https://doi.org/10.14278/rodare.1511", 
  "keywords": [
    "EZ", 
    "charge conservation", 
    "current deposition", 
    "PIConGPU", 
    "particle-in-cell", 
    "profiling", 
    "CUDA", 
    "HIP", 
    "NVIDIA", 
    "AMD", 
    "Spock", 
    "Summit", 
    "HPC"
  ], 
  "sameAs": [
    "https://www.hzdr.de/publications/Publ-34475"
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  "@id": "https://doi.org/10.14278/rodare.1511", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "@id": "https://orcid.org/0000-0001-8965-1149", 
      "name": "Steiniger, Klaus", 
      "@type": "Person", 
      "affiliation": "Helmholtz-Zentrum Dresden-Rossendorf (HZDR)"
    }, 
    {
      "@id": "https://orcid.org/0000-0003-1642-0459", 
      "name": "Widera, Ren\u00e9", 
      "@type": "Person", 
      "affiliation": "Helmholtz-Zentrum Dresden-Rossendorf"
    }, 
    {
      "@id": "https://orcid.org/0000-0001-9841-4057", 
      "name": "Young, Jeff", 
      "@type": "Person", 
      "affiliation": "Georgia Tech"
    }
  ], 
  "distribution": [
    {
      "contentUrl": "https://rodare.hzdr.de/api/files/0120a766-b73f-497b-9abe-00056c0c5757/analysis_scripts.zip", 
      "fileFormat": "zip", 
      "@type": "DataDownload"
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      "contentUrl": "https://rodare.hzdr.de/api/files/0120a766-b73f-497b-9abe-00056c0c5757/picongpu_source.zip", 
      "fileFormat": "zip", 
      "@type": "DataDownload"
    }, 
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  "datePublished": "2022-04-01", 
  "name": "EZ publication: source code, profiling, analysis and simulation data", 
  "@type": "Dataset", 
  "version": "1.0", 
  "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>\n\n<p>Data overview:</p>\n\n<ul>\n\t<li>picongpu_source.zip:&nbsp;\n\t<ul>\n\t\t<li>source code forked from the PIConGPU mainline version&nbsp;0.7.0-dev</li>\n\t\t<li>used input set `share/picongpu/examples/PaperThermal`</li>\n\t</ul>\n\t</li>\n\t<li>runs_charge_conservation.zip:\n\t<ul>\n\t\t<li>output including hdf5 dumps to validate&nbsp;charge conservation property for the PaperThermal setup&nbsp;(warm plasma)</li>\n\t</ul>\n\t</li>\n\t<li>runs_performance.zip:\n\t<ul>\n\t\t<li>simulation timings output for Spock CPU, Spock GPU&nbsp;and Summit GPU runs</li>\n\t</ul>\n\t</li>\n\t<li>runs_profiling.zip:\n\t<ul>\n\t\t<li>profile data for Spock GPU&nbsp;and Summit GPU runs</li>\n\t</ul>\n\t</li>\n\t<li>runs_singleParticleTest.zip:\n\t<ul>\n\t\t<li>output including hdf5 dumps to validate&nbsp;charge conservation property for the single particle test</li>\n\t</ul>\n\t</li>\n\t<li>analysis_scripts.zip:&nbsp;\n\t<ul>\n\t\t<li>jupyter notebooks for setup and analysis of PaperThermal setup</li>\n\t\t<li>python script to plot charge conservation from hdf5 simulation output over time</li>\n\t\t<li>bash script for statistical analysis of performance runs</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>&nbsp;</p>\n\n<p>&nbsp;</p>"
}