TY - GEN
T1 - Pushing the Frontier in the Design of Laser-Based Electron Accelerators with Groundbreaking Mesh-Refined Particle-In-Cell Simulations on Exascale-Class Supercomputers
AU - Fedeli, Luca
AU - Huebl, Axel
AU - Boillod-Cerneux, France
AU - Clark, Thomas
AU - Gott, Kevin
AU - Hillairet, Conrad
AU - Jaure, Stephan
AU - Leblanc, Adrien
AU - Lehe, Remi
AU - Myers, Andrew
AU - Piechurski, Christelle
AU - Sato, Mitsuhisa
AU - Zaim, Neil
AU - Zhang, Weiqun
AU - Vay, Jean Luc
AU - Vincenti, Henri
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022/11/18
Y1 - 2022/11/18
N2 - (150 word max) We present a first-of-kind mesh-refined (MR) massively parallel Particle-In-Cell (PIC) code for kinetic plasma simulations optimized on the Frontier, Fugaku, Summit, and Perlmutter supercomputers. Major innovations, implemented in the WarpX PIC code, include: (i) a three level parallelization strategy that demonstrated performance portability and scaling on millions of A64FX cores and tens of thousands of AMD and Nvidia GPUs (ii) a groundbreaking mesh refinement capability that provides between 1.5 x to 4 x savings in computing requirements on the science case reported in this paper, (iii) an efficient load balancing strategy between multiple MR levels. The MR PIC code enabled 3D simulations of laser-matter interactions on Frontier, Fugaku, and Summit, which have so far been out of the reach of standard codes. These simulations helped remove a major limitation of compact laser-based electron accelerators, which are promising candidates for next generation high-energy physics experiments and ultra-high dose rate FLASH radiotherapy.
AB - (150 word max) We present a first-of-kind mesh-refined (MR) massively parallel Particle-In-Cell (PIC) code for kinetic plasma simulations optimized on the Frontier, Fugaku, Summit, and Perlmutter supercomputers. Major innovations, implemented in the WarpX PIC code, include: (i) a three level parallelization strategy that demonstrated performance portability and scaling on millions of A64FX cores and tens of thousands of AMD and Nvidia GPUs (ii) a groundbreaking mesh refinement capability that provides between 1.5 x to 4 x savings in computing requirements on the science case reported in this paper, (iii) an efficient load balancing strategy between multiple MR levels. The MR PIC code enabled 3D simulations of laser-matter interactions on Frontier, Fugaku, and Summit, which have so far been out of the reach of standard codes. These simulations helped remove a major limitation of compact laser-based electron accelerators, which are promising candidates for next generation high-energy physics experiments and ultra-high dose rate FLASH radiotherapy.
KW - Adaptive mesh refinement
KW - Exascale computing
KW - High performance computing
KW - Particle-In-Cell method
KW - Plasma accelerators
KW - high-field science
KW - laser-matter interaction
U2 - 10.1109/SC41404.2022.00008
DO - 10.1109/SC41404.2022.00008
M3 - Conference contribution
AN - SCOPUS:85136171493
T3 - International Conference for High Performance Computing, Networking, Storage and Analysis, SC
BT - Proceedings of SC 2022
PB - IEEE Computer Society
T2 - 2022 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2022
Y2 - 13 November 2022 through 18 November 2022
ER -