Low Power High Performance Computing on Arm System-on-Chip in Astrophysics
Date Issued
2019
Author(s)
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.
Coverage
Proceedings of the Future Technologies Conference (FTC) 2019
All editors
Kohei, Arai; Bhatia, Rahul; Kapoor, Supriya
Volume
1069
Start page
427
Conferenece
Future Technologies Conference (FTC) 2019
Conferenece place
San Francisco, USA
Conferenece date
October 24–25, 2019
Issn Identifier
2194-5357
Rights
open.access
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