Analysis of Vector Particle-In-Cell (VPIC) memory usage optimizations on cutting-edge computer architectures

被引：0
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作者：
Tan, Nigel [1 ]
Bird, Robert F. [2 ]
Chen, Guangye [2 ]
Luedtke, Scott V. [2 ]
Albright, Brian J. [2 ]
Taufer, Michela [1 ]
机构：
[1] University of Tennessee Knoxville, United States
[2] Los Alamos National Laboratory, United States
来源：
Journal of Computational Science | 2022年 / 60卷
关键词：
The authors would like to thank Stony Brook Research Computing and Cyberinfrastructure; and the Institute for Advanced Computational Science at Stony Brook University for access to the innovative high-performance Ookami computing system; which was made possible by a $5M National Science Foundation grant ( #1927880 ).Work performed under the auspices of the U.S. DOE by Triad National Security; LLC; and Los Alamos National Laboratory(LANL). This work was supported the LANL ASC and Experimental Sciences programs. The UTK authors acknowledge the support of LANL under contract #578735 and IBM through a Shared University Research Award.The authors would like to thank Stony Brook Research Computing and Cyberinfrastructure; which was made possible by a $5M National Science Foundation grant (#1927880). Work performed under the auspices of the U.S. DOE by Triad National Security; and Los Alamos National Laboratory(LANL). This work was supported the LANL ASC and Experimental Sciences programs. The UTK authors acknowledge the support of LANL under contract #578735 and IBM through a Shared University Research Award;
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