Parallel computing in soft X‐rays plasma diagnostic systems for thermal fusion reactors—feasibility studies for GPUs. (3rd April 2019)

• Record Type: Journal Article
• 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
• Other Names: Merelli Ivan guestEditor.; Liò Pietro guestEditor.; Kotenko Igor guestEditor.; D'Agostino Daniele guestEditor.
• Is Part Of: Concurrency and computation. Volume 32:Number 10(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-04-03
• Subjects: graphics processing unit (GPU) -- heterogeneous systems -- high‐performance computing (HPC) -- high‐throughput computing -- parallel computing -- plasma physics; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.5235
• Languages: English
• ISSNs: 1532-0626

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.