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Principles of High-Performance Processor Design: For High Performance Computing, Deep Neural Networks and Data Science - Couverture souple
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.
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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).
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Principles of High-Performance Processor Design : For High Performance Computing, Deep Neural Networks and Data Science
Edité par
Springer, 2022
ISBN 10 : 3030768732
ISBN 13 : 9783030768737
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Principles of High-Performance Processor Design
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ISBN 10 : 3030768732
ISBN 13 : 9783030768737
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 genera. N° de réf. du vendeur 668444839
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Principles of High-Performance Processor Design: For High Performance Computing, Deep Neural Networks and Data Science
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Principles of High-Performance Processor Design : For High Performance Computing, Deep Neural Networks and Data Science
Edité par
Springer International Publishing, 2022
ISBN 10 : 3030768732
ISBN 13 : 9783030768737
Neuf
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.In chapter 2, the history of the development of high-performance processor is overviewed, to discuss what quantity we can use to measure the efficiency of these processors. The proposed quantity is the ratio between the minimum possible energy consumption and the actual energy consumption for a given application using a given semiconductor technology. In chapter 3, whether or not this quantity can be used in practice is discussed, for many real-world applications.In chapter 4, general-purpose processors in the past and present are discussed from this viewpoint. 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. This book gives a new way to look at the field of the design of high-performance processors. N° de réf. du vendeur 9783030768737
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Principles of High-Performance Processor Design
Edité par
Springer International Publishing Aug 2022, 2022
ISBN 10 : 3030768732
ISBN 13 : 9783030768737
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - 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.In chapter 2, the history of the development of high-performance processor is overviewed, to discuss what quantity we can use to measure the efficiency of these processors. The proposed quantity is the ratio between the minimum possible energy consumption and the actual energy consumption for a given application using a given semiconductor technology. In chapter 3, whether or not this quantity can be used in practice is discussed, for many real-world applications.In chapter 4, general-purpose processors in the past and present are discussed from this viewpoint. 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. This book gives a new way to look at the field of the design of high-performance processors. 176 pp. Englisch. N° de réf. du vendeur 9783030768737
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Principles of High-Performance Processor Design : For High Performance Computing, Deep Neural Networks and Data Science
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Principles of High-Performance Processor Design
ISBN 10 : 3030768732
ISBN 13 : 9783030768737
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. 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
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Principles of High-Performance Processor Design : For High Performance Computing, Deep Neural Networks and Data Science
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Principles of High-Performance Processor Design: For High Performance Computing, Deep Neural Networks and Data Science
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Principles of High-Performance Processor Design : For High Performance Computing, Deep Neural Networks and Data Science
Edité par
Springer, 2022
ISBN 10 : 3030768732
ISBN 13 : 9783030768737
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 44757385
Quantité disponible : Plus de 20 disponibles