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Название: Principles of High-Performance Processor Design: For High Performance Computing, Deep Neural Networks and Data Science
Автор: Junichiro Makino
Издательство: Springer
Год: 2021
Страниц: 167
Язык: английский
Формат: pdf (true), epub
Размер: 11.6 MB
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.
Автор: Junichiro Makino
Издательство: Springer
Год: 2021
Страниц: 167
Язык: английский
Формат: pdf (true), epub
Размер: 11.6 MB
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.