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Reconfigurable Computer Based on Virtex UltraScale+ FPGAs with Immersion Cooling System

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 753))

Abstract

The paper covers the reconfigurable computer systems based on high integration field programmable gate arrays (FPGAs) of Xilinx Virtex UltraScale+ series, where immersion liquid cooling system is used for cooling of all electronic components. The original engineering and technological solutions for thermal interface, cooling liquid, radiators and the entire reconfigurable computer system are considered. Owing to these features it is possible to achieve unprecedented layout density, up to 128 FPGAs for a 3U computational module placed into a standard \(19^{{\prime }{\prime }}\) computer rack. The paper presents results of prototyping and experimental verification of energy-efficient computational module with immersion liquid cooling system. On the base of the new computational module it is possible to achieve the performance of 1 Pflops in a standard 47U rack with total power consumption not more than 150 kW. The designed immersion liquid cooling system has power reserve for already produced and for next-generation high integration FPGA series, resistance to leaks and their consequences, and compatibility with traditional water cooling systems based on industrial chillers.

The project has been funded in part by the scholarship of the President of the Russian Federation for young scientists and graduate students (SP-173.2016.5).

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Correspondence to A. I. Dordopulo .

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Levin, I.I., Dordopulo, A.I., Fedorov, A.M., Gulenok, A.A. (2017). Reconfigurable Computer Based on Virtex UltraScale+ FPGAs with Immersion Cooling System. In: Sokolinsky, L., Zymbler, M. (eds) Parallel Computational Technologies. PCT 2017. Communications in Computer and Information Science, vol 753. Springer, Cham. https://doi.org/10.1007/978-3-319-67035-5_3

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  • DOI: https://doi.org/10.1007/978-3-319-67035-5_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67034-8

  • Online ISBN: 978-3-319-67035-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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