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

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...

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Bibliographic Details
Main Author:	Makino, Junichiro (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Subjects:	Microprocessors. Computer system failures. Algorithms. Processor Architectures. System Performance and Evaluation. Algorithm Analysis and Problem Complexity. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

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.