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arXiv 1902.07490cs.DC
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“Zhores”--安装在斯科尔科沃科技学院的用于数据驱动建模、机器学习和人工智能的千万亿次超级计算机

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

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

摘要:

最近在斯科尔科沃科学技术学院(Skoltech)的“计算和数据密集型科学与工程中心”(CDISE)推出的千万亿次超级计算机“Zhores”为该研究所的科学发现开辟了新的令人兴奋的机会,特别是在数据驱动建模,机器学习和人工智能领域。这款超级计算机采用最新一代的英特尔和英伟达处理器,为Skoltech科学家在数字制药、预测分析、光子学、材料科学、图像处理、等离子物理等领域工作的大多数计算密集型任务提供资源。目前,它在俄罗斯和独联体TOP-50(2018)超级计算机列表中排名第六。本文总结了该仪器的性能特点,讨论了该仪器在斯科尔泰克的实测性能和使用方式。

英文摘要:

The Petaflops supercomputer "Zhores" recently launched in the "Center for Computational and Data-Intensive 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 6th in the Russian and CIS TOP-50 (2018) supercomputer list. In this article we summarize the cluster properties and discuss the measured performance and usage modes of this scientific instrument in Skoltech.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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