Principles of High-Performance Processor Design: For High Performance Computing, Deep Neural Networks and Data Science (Paperback)

Principles of High-Performance Processor Design: For High Performance Computing, Deep Neural Networks and Data Science By Junichiro Makino Cover Image

Principles of High-Performance Processor Design: For High Performance Computing, Deep Neural Networks and Data Science (Paperback)

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Introduction.- Traditional approaches and their limitations.- The lower limit of energy consumption.- Analysis of past and present processors.- "Near-optimal" designs.- Software.- Present, Past and Future.
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).
Product Details ISBN: 9783030768737
ISBN-10: 3030768732
Publisher: Springer
Publication Date: August 22nd, 2022
Pages: 160
Language: English