Principles of High-Performance Processor Design

Junichiro Makino

ISBN 10: 3030768732 / ISBN 13: 9783030768737

Edité par Springer International Publishing, Springer International Publishing Aug 2022, 2022

A propos de cet article

Neuware -This book describes how we can design and make efficient processors for high-performance computing, AI, and data science. Although there are many textbooks on the design of processors we do not have a widely accepted definition of the efficiency of a general-purpose computer architecture. Without a definition of the efficiency, it is difficult to make scientific approach to the processor design. In this book, a clear definition of efficiency is given and thus a scientific approach for processor design is made possible.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 176 pp. Englisch.

N° de réf. du vendeur 9783030768737

Détails bibliographiques

• Titre: Principles of High-Performance Processor Design
• Éditeur: Springer International Publishing, Springer International Publishing Aug 2022
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 3030768732
• ISBN à 13 chiffres: 9783030768737
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 235 L x 155 H x 10 P (en millimètres) 235 millimètres de largeur par 155 millimètres de hauteur par 10 millimètres de profondeur
• Poids: 277 grammes

A propos de ce titre

Synopsis

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.

À propos de l?auteur

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).