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http://hdl.handle.net/20.500.12386/34763
Title: | Low Power High Performance Computing on Arm System-on-Chip in Astrophysics | Authors: | TAFFONI, Giuliano BERTOCCO, SARA CORETTI, Igor GOZ, David RAGAGNIN, ANTONIO TORNATORE, Luca |
Issue Date: | 2019 | Volume: | Proceedings of the Future Technologies Conference (FTC) 2019 | Editors: | Kohei, Arai; Bhatia, Rahul; Kapoor, Supriya | Series: | ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING | Number: | 1069 | First Page: | 427 | Abstract: | In this paper, we quantitatively evaluate the impact of computation on the energy consumption on Arm MPSoC platforms, exploiting both CPUs and embedded GPUs. Performance and energy measures are made on a direct N-body code, a real scientific application from the astrophysical domain. The time-to-solutions, energy-to-solutions and energy delay product using different software configurations are compared with those obtained on a general purpose x86 desktop and PCIe GPGPU. With this work, we investigate the possibility of using commodity single boards based on Arm MPSoC as an HPC computational resource for real Astrophysical production runs. Our results show to which extent those boards can be used and which modification are necessary to a production code to profit of them. A crucial finding of this work is the effect of the emulated double precision on the GPU performances that allow to use embedded and gaming GPUs as excellent HPC resources. | Conference Name: | Future Technologies Conference (FTC) 2019 | Conference Place: | San Francisco, USA | Conference Date: | October 24–25, 2019 | URI: | http://hdl.handle.net/20.500.12386/34763 | URL: | https://link.springer.com/chapter/10.1007/978-3-030-32520-6_33 https://api.elsevier.com/content/abstract/scopus_id/85075680189 |
ISSN: | 2194-5357 | ISBN: | 9783030325190 | DOI: | 10.1007/978-3-030-32520-6_33 | Fulltext: | open |
Appears in Collections: | 3.01 Contributi in Atti di convegno |
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