Advertisement

Design Technology for Reconfigurable Computer Systems with Immersion Cooling

  • Ilya Levin
  • Alexey DordopuloEmail author
  • Alexander Fedorov
  • Yuriy Doronchenko
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 965)

Abstract

In this paper, we consider the implementation of reconfigurable computer systems based on advanced Xilinx UltraScale and UltraScale+FPGAs and a design method of immersion cooling systems for computers containing 96–128 chips. We propose the selection criteria of key technical solutions for creation of high-performance computer systems with liquid cooling. The construction of the computational block prototype and the results of its experimental thermal testing are presented. The results demonstrate high energy efficiency of the proposed open cooling system and existence of power reserve for the next-generation FPGAs. Effective cooling of 96–128 FPGAs with the total thermal power of 9.6–12.8 kW in a 3U computational module is the key feature of the considered system. Insensitivity to leakages and their consequences, and compatibility with traditional water cooling systems based on industrial chillers are the advantages of the developed technical solution. These features allow installation of liquid-cooled computer systems with no fundamental change of the computer hall infrastructure.

Keywords

Immersion cooling system Liquid cooling Reconfigurable computer systems FPGA High-Performance computer systems Energy efficiency 

References

  1. 1.
    Tripiccione, R.: Reconfigurable computing for statistical physics. the weird case of JANUS. In: IEEE 23rd International Conference on Application-Specific Systems, Architectures and Processors (ASAP) (2012)Google Scholar
  2. 2.
    Baity-Jesi, M., et al.: The Janus project: boosting spin-glass simulations using FPGAs. In: IFAC Proceedings Volumes, Programmable Devices and Embedded Systems, vol. 12, no. 1 (2013)Google Scholar
  3. 3.
    Shaw, D.E., et al.: Anton, a special-purpose machine for molecular dynamics simulation. Commun. ACM 51(7), 91–97 (2008)CrossRefGoogle Scholar
  4. 4.
    Kalyaev, I.A., Levin, I.I., Semernikov, E.A., Shmoilov, V.I.: Reconfigurable multipipeline computing structures. Nova Science Publishers, New York (2012). ISBN 978-1-62081-462-8Google Scholar
  5. 5.
    Dordopulo, A., Kalyaev, I., Levin, I., Slasten, L.: High-performance reconfigurable computer systems. In: Malyshkin, V. (ed.) PaCT 2011. LNCS, vol. 6873, pp. 272–283. Springer, Heidelberg (2011).  https://doi.org/10.1007/978-3-642-23178-0_24CrossRefGoogle Scholar
  6. 6.
    Dordopulo, A.I., Levin, I.I., Fedorov, A.M., Kalyaev, I.A.: Reconfigurable computer systems: from the first FPGAs towards liquid cooling systems. Supercomputing Front. Innovations, 22–40 (2016). http://superfri.org/superfri/article/view/97,  https://doi.org/10.14529/jsfi160102
  7. 7.
    Technology. https://www.coolitsystems.com/technology/. Accessed 25 May 2018
  8. 8.
    Immers 6 R6. http://immers.ru/sys/immers6r6/. Accessed 25 May 2018
  9. 9.
    Eurotech liquid cooling is hot! https://www.eurotech.com/en/hpc/hpc+solutions/liquid+cooling. Accessed 25 Oct 2018
  10. 10.
    RSC. http://www.rscgroup.ru. Accessed 25 May 2018

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ilya Levin
    • 1
  • Alexey Dordopulo
    • 1
    Email author
  • Alexander Fedorov
    • 1
  • Yuriy Doronchenko
    • 1
  1. 1.Scientific Research Centre of Supercomputers and Neurocomputers (LLC)TaganrogRussia

Personalised recommendations