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Parallel computing in soft X‐rays plasma diagnostic systems for thermal fusion reactors—feasibility studies for GPUs.

Authors :
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
Source :
Concurrency & Computation: Practice & Experience; 5/25/2020, Vol. 32 Issue 10, p1-12, 12p
Publication Year :
2020

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15320626
Volume :
32
Issue :
10
Database :
Complementary Index
Journal :
Concurrency & Computation: Practice & Experience
Publication Type :
Academic Journal
Accession number :
142792851
Full Text :
https://doi.org/10.1002/cpe.5235