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