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