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

Steiniger, K.; Widera, R.; Young, J.

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

Keywords: EZ; charge conservation; current deposition; PIConGPU; particle-in-cell; profiling; CUDA; HIP; NVIDIA; AMD; Spock; Summit; HPC

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Permalink: https://www.hzdr.de/publications/Publ-34475