Bulletin of the American Physical Society
64th Annual Meeting of the APS Division of Plasma Physics
Volume 67, Number 15
Monday–Friday, October 17–21, 2022; Spokane, Washington
Session GO08: Laser-Plasma Wakefield and Direct Laser Accelerators
9:30 AM–12:30 PM,
Tuesday, October 18, 2022
Room: 402 ABC
Chair: Frank Tsung, University of California, Los Angeles
Abstract: GO08.00006 : Bayesian multi-task optimization of laser-plasma accelerators using Particle-In-Cell codes with different fidelities
10:30 AM–10:42 AM
Presenter:
Remi Lehe
(Lawrence Berkeley National Laboratory)
Authors:
Angel Ferran Pousa
(DESY)
Soeren Jalas
(Universität Hamburg)
Manuel Kirchen
(DESY)
Alberto Martinez de la Ossa
(DESY)
Maxence Thevenet
(DESY)
Jeffrey Larson
(Argonne National Laboratory)
Stephen Hudson
(Argonne National Laboratory)
Axel Huebl
(Lawrence Berkeley National Laboratory)
Jean-Luc Vay
(Lawrence Berkeley National Laboratory)
Remi Lehe
(Lawrence Berkeley National Laboratory)
In this work, we automate such a workflow with a Bayesian multitask algorithm, where the different tasks correspond to PIC codes making different approximations. Thus, this algorithm learns from past simulation results from both full PIC codes and reduced PIC codes and dynamically chooses the next parameters to be simulated. We illustrate this workflow with a proof-of-concept optimization using the Wake-T and FBPIC codes. The libEnsemble library is used to orchestrate this workflow on a modern GPU-accelerated high-performance computing system.
This research was supported in part by the U.S. Department of Energy, Office of Science, under contract numbers DE-AC02-06CH11357 and DE-AC02-05CH11231
and by the Exascale Computing Project (17-SC-20-SC). This research was supported in part through the Maxwell computational resources operated at DESY, Hamburg, Germany.
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