"Zhores" - Petaflops supercomputer for data-driven modeling, machine learning and artificial intelligence installed in Skolkovo Institute of Science and Technology

Igor Zacharov, Rinat Arslanov, Maksim Gunin, Daniil Stefonishin, Andrey Bykov, Sergey Pavlov, Oleg Panarin, Anton Maliutin, Sergey Rykovanov, Maxim Fedorov

    Research output: Contribution to journalArticlepeer-review

    96 Citations (Scopus)

    Abstract

    The Petaflops supercomputer "Zhores" recently launched in the "Center for Computational and DataIntensive Science and Engineering" (CDISE) of Skolkovo Institute of Science and Technology (Skoltech) opens up new exciting opportunities for scientific discoveries in the institute especially in the areas of data-driven modeling, machine learning and artificial intelligence. This supercomputer utilizes the latest generation of Intel and NVIDIA processors to provide resources for the most compute intensive tasks of the Skoltech scientists working in digital pharma, predictive analytics, photonics, material science, image processing, plasma physics and many more. Currently it places 7th in the Russian and CIS TOP-50 (2019) supercomputer list. In this article we summarize the cluster properties and discuss the measured performance and usage modes of this new scientific instrument in Skoltech.

    Original languageEnglish
    Pages (from-to)512-520
    Number of pages9
    JournalOpen Engineering
    Volume9
    Issue number1
    DOIs
    Publication statusPublished - 1 Jan 2019

    Keywords

    • Computer scalability
    • Computing clusters
    • Energy efficiency
    • High performance computing
    • High speed networks
    • Parallel computation

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