Eva Siegmann - Experiences with the Ookami A64FX testbed - AHUG ISC21 скачать в хорошем качестве

Eva Siegmann - Experiences with the Ookami A64FX testbed - AHUG ISC21

Abstract: The Ookami cluster is a testbed supported by NSF (grant OAC 1927880) located at Stony Brook University. It provides researchers with access to A64FX processors. Those are the same as in the world’s currently fastest machine Fugaku at the Riken center in Japan. This unique processor promises to combine the usage of familiar programming models with remarkably high performance for a broad range of applications. The 48-core, 64-bit ARM processor is the first to deploy the Scalable Vector Extension (SVE) SIMD-vector instruction set, employing 512-bit wide vectors matched with 32 Gbyte of high-bandwidth memory. In this talk, we will give an overview of the Ookami system and share our initial experiences with it and the A64FX processor. Bio: Eva Siegmann has a PhD in applied mathematics. She has extensive experience in the field of high-performance computing with special focus on simulations in the field of pharmaceutical engineering. Beginning of this year Eva joined the Stony Brook University where she is the lead research scientist in the Ookami project.