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South Ural State University Upgrades Supercomputing

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South Ural State University Upgrades Supercomputing

South Ural State University implements highly energy-efficient RSC Tornado SUSU* supercomputer powered by Intel® Xeon Phi™ coprocessors

South Ural State University (SUSU) is one of Russia’s leading universities and the largest in the country in terms of number of undergraduates. It carries out research into a wide range of fundamental and applied disciplines, relying heavily on its supercomputer center to support its industry-leading research. SUSU chose to upgrade its computing platform with an existing infrastructure previously deployed by leading local high-performance computing (HPC) solution provider RSC Group (www.rscgroup.ru/en). It implemented the new generation of innovative, energy-efficient RSC Tornado architecture with direct liquid cooling for standard server boards, powered by Intel® Xeon® processors and the latest Intel® Xeon Phi™ coprocessors. As a result, it has seen a significant performance increase while cutting energy costs by up to 60 percent.

Challenges
• Support local economy. The university provides core HPC resources to scientists and researchers engaged in enhancing the industry and economy of the whole eastern part of Russia
• Optimize efficiency. While increased performance to support research was key, SUSU also needed to keep energy use and total cost of ownership (TCO) low

Solutions
• New platform. The SUSU supercomputer, based on RSC Tornado architecture with enhanced direct cooling technology, was deployed
• Powerful components. The new platform is powered by the Intel Xeon processor X5680 and the latest Intel Xeon Phi coprocessors SE10X
• Increased reliability. Intel® Solid-State Drives (Intel® SSDs) and Quad Data Rate (QDR) Infiniband* connectivity complete the strengthened HPC environment

Impact
• Lower TCO. Energy costs were cut by up to 60 percent
• Enhanced performance. The system achieved 146.8 teraflops in the LINPACK* benchmark and delivers peak performance of 236.8 teraflops
• Diverse usage. Researchers on over 250 projects benefit from the new platform by achieving better results faster

Read the full South Ural State University Upgrades Supercomputing Case Study.