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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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2021, 2021
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| Edition: | 1st ed. 2021 |
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| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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