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

Makino, Junichiro

  • 出版商: Springer
  • 出版日期: 2021-08-21
  • 售價: $7,080
  • 貴賓價: 9.5$6,726
  • 語言: 英文
  • 頁數: 160
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3030768708
  • ISBN-13: 9783030768706
  • 相關分類: DeepLearningData Science
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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.

作者簡介

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).