Low Power High Performance Computing on Arm System-on-Chip in Astrophysics

  • Giuliano Taffoni
  • Sara BertoccoEmail author
  • Igor Coretti
  • David Goz
  • Antonio Ragagnin
  • Luca Tornatore
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1069)


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.


Arm GPU MPSoC HPC Energy-to-solution Energy Delay Product 



This work was carried out within the ExaNeSt (FET-HPC) project (Grant no. 671553), the ASTERICS project (Grant no. 653477) and EuroExa (FET-HPC) project (Grant no. 754337) funded by the European Union’s Horizon 2020 research and innovation programme.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Giuliano Taffoni
    • 1
  • Sara Bertocco
    • 1
    Email author
  • Igor Coretti
    • 1
  • David Goz
    • 1
  • Antonio Ragagnin
    • 1
  • Luca Tornatore
    • 1
  1. 1.National Institute of AstrophysicsAstronomical Observatory of TriesteTriesteItaly

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