Okinawa Institute of Science and Technology Graduate University Utilizes AMD EPYC Processors for Scientific Research

AMD (NASDAQ: AMD) and the Okinawa Institute of Science and Technology Graduate University have reported the deployment of AMD EPYC 7702 processors for use in a new high performance computing system.  The EPYC processor will be utilized in a supercomputer to deliver 2.36 petaflops of computing power as the institute plans to use for scientific research.  The Scientific Computing & Data Analysis Section of the institute plans to implement its new supercomputer to support intensive research from bioinformatics, computational neurosciences and physics.

“2020 is a milestone year for OIST with new research units expanding the number of research areas. This growth is driving a significant increase in our computational needs,” said Eddy Taillefer, Ph.D., Section Leader, Scientific Computing & Data Analysis Section. “Under the common resource model for which the computing system is shared by all OIST users we needed a significant increase in core-count capacity to both absorb these

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Okinawa Institute of Science and Technology Graduate University Deploys AMD-based Supercomputer

TOKYO, Japan, Oct. 1 — Today, AMD and Okinawa Institute of Science and Technology Graduate University (OIST) , announced the deployment of AMD EPYC 7702 processors for use in a new, high performance computing system. The EPYC- processor-based supercomputer will deliver the 2.36 petaflops of computing power OIST plans to use for scientific research at the University.

The Scientific Computing & Data Analysis Section (SCDA) of OIST plans to implement the new supercomputer for supporting OIST computationally intensive research ranging from bioinformatics, computational neuroscience, and physics. SCDA adopted AMD EPYC after significant growth, including a 2X increase in users.

“2020 is a milestone year for OIST with new research units expanding the number of research areas. This growth is driving a significant increase in our computational needs,” said

Eddy Taillefer, Ph.D., Section Leader, Scientific Computing & Data Analysis Section. “Under the common resource model for which the computing system

Read More