Programming for High-Performance Computing on Edge Accelerators

Pilsung Kang ()
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Pilsung Kang: Department of Software Science, Dankook University, Yongin 16890, Republic of Korea

Mathematics, 2023, vol. 11, issue 4, 1-13

Abstract: The field of edge computing has grown considerably over the past few years, with applications in artificial intelligence and big data processing, particularly due to its powerful accelerators offering a large amount of hardware parallelism. As the computing power of the latest edge systems increases, applications of edge computing are being expanded to areas that have traditionally required substantially high-performant computing resources such as scientific computing. In this paper, we review the latest literature and present the current status of research for implementing high-performance computing (HPC) on edge devices equipped with parallel accelerators, focusing on software environments including programming models and benchmark methods. We also examine the applicability of existing approaches and discuss possible improvements necessary towards realizing HPC on modern edge systems.

Keywords: edge computing; parallel systems; high-performance computing; GPU (Graphics Processing Unit); accelerators; programming model; benchmarks (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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