Published April 7, 2022
| Version 1.0
Dataset
Open
EZ publication: source code, profiling, analysis and simulation data
Authors/Creators
Description
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
analysis_scripts.zip
Files
(22.0 GB)
| Name | Size | |
|---|---|---|
|
md5:42e1f60c6d51c3367e15a2166279671d
|
13.8 kB | Preview Download |
|
md5:96a8d00aea6d2a7fc784ca5535d1970e
|
8.8 MB | Preview Download |
|
md5:3721e109d0de03eea3fccb42b3208c2a
|
22.0 GB | Preview Download |
|
md5:5c3f3516663c433a2a0ec65534e6c6d0
|
73.5 kB | Preview Download |
|
md5:3d0cec42682e8c2e3f7ebe2b52499820
|
22.6 MB | Preview Download |
|
md5:5840656b8fec8069ffcaaabc97b344fc
|
4.3 MB | Preview Download |