Abstract: Particle accelerators are a vital part of the DOE-supported infrastructure of discovery science and applications, but we need game-changing improvements in the size and cost for future accelerators. Plasma-based particle accelerators stand apart in their potential for these improvements. Turning this from a promising technology into mainstream scientific tools depends critically on high-performance, high-fidelity modeling of complex processes.
WarpX is an open-source particle-in-cell (PIC) code supported by the Exascale Computing Project (ECP) that is combining advanced algorithms with adaptive mesh refinement to allow challenging simulations of a multi-stage plasma-based TeV acceleration relevant for future high-energy physics discoveries. WarpX relies on the ECP co-design center for mesh refinement AMReX, and runs on CPU and GPU-accelerated computers. Production simulation have run on Cori KNL at NERSC and Summit at OLCF. In this poster, recent results and strategies on GPU will be presented, along with recent performance results.
Best Poster Finalist (BP): no
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