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

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