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Parallel computing in soft X‐rays plasma diagnostic systems for thermal fusion reactors—feasibility studies for GPUs
Author(s) -
Krawczyk Rafal,
Czarski Tomasz,
Linczuk Pawel,
Wojenski Andrzej,
Chernyshova Maryna,
Pozniak Krzysztof,
Mazon Didier,
Kolasinski Piotr,
Kasprowicz Grzegorz,
Zabolotny Wojciech,
Gaska Michal,
Kowalsaka-Strzeciwilk Ewa,
Malinowski Karol,
Jardin Axel,
Malard Philippe
Publication year - 2019
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.5235
Subject(s) - tokamak , computer science , scalability , graphics , supercomputer , graphics processing unit , computational science , field programmable gate array , plasma , embedded system , parallel computing , operating system , physics , nuclear physics
Summary This paper presents feasibility studies in utilizing graphics processing units (GPUs) as high‐performance computing hardware with front‐end electronics in high‐scale magnetic confinement thermal fusion experiments. The objective of the research is to provide scalable, high‐throughput, and low‐latency measurements for the runtime tokamak metallic impurities X‐ray diagnostic for the Tungsten Environment in Steady‐State Tokamak (WEST) reactor. The heterogeneous system of front‐end with field‐programmable gate arrays and the back‐end server was introduced to decompose workloads efficiently. It allows the comprehensive evaluation of CPUs and accelerators. In particular, a novel implementation of the back‐end algorithm for GPU with the performance analysis are presented.