Synthesizing Particle-In-Cell Simulations through Learning and GPU Computing for Hybrid Particle Accelerator Beamlines-Reference-Cited by-同舟云学术

Synthesizing Particle-In-Cell Simulations through Learning and GPU Computing for Hybrid Particle Accelerator Beamlines

Published:2024-06-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Platform for Advanced Scientific Computing Conference
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Author:

Sandberg Ryan¹^ORCID,Lehe Remi¹^ORCID,Mitchell Chad¹^ORCID,Garten Marco¹^ORCID,Myers Andrew¹^ORCID,Qiang Ji¹^ORCID,Vay Jean-Luc¹^ORCID,Huebl Axel¹^ORCID

Affiliation:

1. Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America

Funder

National Energy Research Scientific Computing Center [NERSC] award

Laboratory Directed Research and Development Program of Lawrence Berkeley National Laboratory under U.S. Department of Energy Contract

U.S. Department of Energy, Office of Science, Office of High Energy Physics, General Accelerator R&D (GARD)

Exascale Computing Project, a joint project of the U.S. Department of Energy's Office of Science and National Nuclear Security Administration

Publisher

ACM

Reference34 articles.

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4. HiPACE++: A portable, 3D quasi-static particle-in-cell code

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