The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Authors: Luca Fedeli (University of Paris-Saclay); Axel Huebl (Lawrence Berkeley National Laboratory (LBNL)); France Boillod-Cerneux and Thomas Clark (University of Paris-Saclay); Kevin Gott (Lawrence Berkeley National Laboratory (LBNL)); Conrad Hillairet (ARM Ltd); Stephan Jaure (Bull Atos Technologies); Adrien Leblanc (National Institute of Advanced Technology (ENSTA Paris)); Rémi Lehe and Andrew Myers (Lawrence Berkeley National Laboratory (LBNL)); Christelle Piechurski (GENCI, France); Mitsuhisa Sato (RIKEN); Neil Zaïm (University of Paris-Saclay); Weiqun Zhang and Jean-Luc Vay (Lawrence Berkeley National Laboratory (LBNL)); and Henri Vincenti (University of Paris-Saclay)
Abstract: 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× to 4× 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.
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