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

Language: English

Published by Palgrave Macmillan, 2022

3030768732 / 9783030768737

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt 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.

Seller Inventory # 9783030768737

Title
Principles of High-Performance Processor Design : For High Performance Computing, Deep Neural Networks and Data Science
Author
Junichiro Makino
Publisher
Palgrave Macmillan
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3030768732
ISBN 13
9783030768737
Item weight
277 grams
Dimensions
235x155x10 mm

AHA-BUCH GmbH

Einbeck, Germany

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