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Principles of High-Performance Processor Design: For High Performance Computing, Deep Neural Networks and Data Science - Rilegato
- EditoreSpringer-Verlag GmbH
- Data di pubblicazione2021
- ISBN 10 3030768708
- ISBN 13 9783030768706
- RilegaturaCopertina rigida
- LinguaInglese
- Numero edizione1
- Numero di pagine176
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Principles of High-Performance Processor Design: For High Performance Computing, Deep Neural Networks and Data Science
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Hardcover. Condizione: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 0.94. Codice articolo G3030768708I5N00
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Principles of High-Performance Processor Design
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Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030768708
ISBN 13: 9783030768706
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Gebunden. Condizione: 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. In chapter 5, how we can actually design processors with near-optimal efficiencies is described, and in chapter 6 how we can program su. Codice articolo 467591422
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Principles of High-Performance Processor Design: For High Performance Computing, Deep Neural Networks and Data Science 1st ed. 2021 Edition
Da: Books Puddle, New York, NY, U.S.A.
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Principles of High-Performance Processor Design: For High Performance Computing, Deep Neural Networks and Data Science 1st ed. 2021 Edition
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Condizione: New. PRINT ON DEMAND. Codice articolo 18384719844
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Principles of High-Performance Processor Design: For High Performance Computing, Deep Neural Networks and Data Science 1st ed. 2021 Edition
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Principles of High-Performance Processor Design
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Springer International Publishing Aug 2021, 2021
ISBN 10: 3030768708
ISBN 13: 9783030768706
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Buch. Condizione: 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. Codice articolo 9783030768706
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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
Editore:
Springer International Publishing, 2021
ISBN 10: 3030768708
ISBN 13: 9783030768706
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Buch. Condizione: 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. Codice articolo 9783030768706
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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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Condizione: New. Codice articolo ABLIING23Mar3113020029406
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