%0 Journal Article %1 STEINIGER2023108849 %A Steiniger, Klaus %A Widera, Rene %A Bastrakov, Sergei %A Bussmann, Michael %A Chandrasekaran, Sunita %A Hernandez, Benjamin %A Holsapple, Kristina %A Huebl, Axel %A Juckeland, Guido %A Kelling, Jeffrey %A Leinhauser, Matt %A Pausch, Richard %A Rogers, David %A Schramm, Ulrich %A Young, Jeff %A Debus, Alexander %D 2023 %J Computer Physics Communications %K Charge Current EZ PIConGPU Particle-in-cell Zno conservation deposition imported %P 108849 %R https://doi.org/10.1016/j.cpc.2023.108849 %T EZ: An efficient, charge conserving current deposition algorithm for electromagnetic particle-in-cell simulations %U https://www.sciencedirect.com/science/article/pii/S0010465523001947 %V 291 %X We present EZ, a novel current deposition algorithm for particle-in-cell (PIC) simulations. EZ calculates the current density on the electromagnetic grid due to macro-particle motion within a time step by solving the continuity equation of electrodynamics. Being a charge conserving hybridization of Esirkepov's method and ZigZag, we refer to it as “EZ” as shorthand for “Esirkepov meets ZigZag”. Simulations of a warm, relativistic plasma with PIConGPU show that EZ achieves the same level of charge conservation as the commonly used method by Esirkepov, yet reaches higher performance for macro-particle assignment-functions up to third-order. In addition to a detailed description of the functioning of EZ, reasons for the expected and observed performance increase are given, and guidelines for its implementation aiming at highest performance on GPUs are provided.

@article{STEINIGER2023108849, abstract = {We present EZ, a novel current deposition algorithm for particle-in-cell (PIC) simulations. EZ calculates the current density on the electromagnetic grid due to macro-particle motion within a time step by solving the continuity equation of electrodynamics. Being a charge conserving hybridization of Esirkepov's method and ZigZag, we refer to it as “EZ” as shorthand for “Esirkepov meets ZigZag”. Simulations of a warm, relativistic plasma with PIConGPU show that EZ achieves the same level of charge conservation as the commonly used method by Esirkepov, yet reaches higher performance for macro-particle assignment-functions up to third-order. In addition to a detailed description of the functioning of EZ, reasons for the expected and observed performance increase are given, and guidelines for its implementation aiming at highest performance on GPUs are provided.}, added-at = {2025-01-15T10:44:59.000+0100}, author = {Steiniger, Klaus and Widera, Rene and Bastrakov, Sergei and Bussmann, Michael and Chandrasekaran, Sunita and Hernandez, Benjamin and Holsapple, Kristina and Huebl, Axel and Juckeland, Guido and Kelling, Jeffrey and Leinhauser, Matt and Pausch, Richard and Rogers, David and Schramm, Ulrich and Young, Jeff and Debus, Alexander}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2ffa09bd43c822263416d68ba930ff157/scadsfct}, doi = {https://doi.org/10.1016/j.cpc.2023.108849}, interhash = {cf1c0625f1cb7262422ec443e4b1dc53}, intrahash = {ffa09bd43c822263416d68ba930ff157}, issn = {0010-4655}, journal = {Computer Physics Communications}, keywords = {Charge Current EZ PIConGPU Particle-in-cell Zno conservation deposition imported}, pages = 108849, timestamp = {2025-01-29T12:28:35.000+0100}, title = {EZ: An efficient, charge conserving current deposition algorithm for electromagnetic particle-in-cell simulations}, url = {https://www.sciencedirect.com/science/article/pii/S0010465523001947}, volume = 291, year = 2023 }