Principles of High-Performance Processor Design

For High Performance Computing, Deep Neural Networks and Data Science

Häftad, Engelska, 2022

AvJunichiro Makino

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This book describes how we can design and make efficient processors for high-performance computing, AI, and data science. In chapter 5, how we can actually design processors with near-optimal efficiencies is described, and in chapter 6 how we can program such processors.

Produktinformation

Utgivningsdatum2022-08-22
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
Antal sidor160
FörlagSpringer Nature Switzerland AG
ISBN9783030768737

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Systemvetenskap och AI inom Data och it

Junichiro Makino received PhD from the University of Tokyo. After he received PhD, he worked at University of Tokyo, the National Astronomical Observatory of Japan, and Tokyo Institute of Technology. Since Apr 2014, he is a subleader of the exascale computing project and the team leader of the Co-design team, AICS, RIKEN, and since Mar 2016 he works also at Kobe University. His research interests are stellar dynamics, large-scale scientific simulation and high-performance computing.He has developed a series of special-purpose computers for many-body problems (GRAPE) and SIMD many-core processors (GRAPE-DR, MN-Core).