New York: The Institution of Engineering and Technology, 2019. — 600 p. Computing has moved away from a focus on performance-centric serial computation, instead towards energy-efficient parallel computation. This provides continued performance increases without increasing clock frequencies, and overcomes the thermal and power limitations of the dark-silicon era. As the number...
Hoboken: Wiley, 2021. — 233 p. Learn foundational and advanced topics in Neural Processing Unit design with real-world examples from leading voices in the field In Artificial Intelligence Hardware Design: Challenges and Solutions, distinguished researchers and authors Drs. Albert Chun Chen Liu and Oscar Ming Kin Law deliver a rigorous and practical treatment of the design...
New Delhi: Silicon Media Press, 2016. — 346 p. As you read the book, you will find the answers to many of the questions you have about Computer Hardware And Peripherals. It helps you as a guidebook if you are enrolled in Computer Hardware and Networking course. You can also learn to assemble the computer on your own.
Springer, 2024. — 145 p. This book describes the state-of-the-art of technology and research on In-Memory Computing Hardware Accelerators for Data-Intensive Applications. The authors discuss how processing-centric computing has become insufficient to meet target requirements and how Memory-centric computing may be better suited for the needs of current applications. This...
No Starch Press, 2022. — 515 p. — ISBN13: 978-1-7185-0009-9. Introduction to Computer Organization gives programmers a practical understanding of what happens in a computer when you execute your code. You may never have to write x86-64 assembly language or design hardware yourself, but knowing how the hardware and software work will give you greater control and confidence over...
New York: Springer, 2020. — 241 p. Introduces in one volume all the trends that can be used to overcome Moore’s law limitations. Describes in detail Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing concepts, in a manner accessible to a wide variety of readers. Compares tradeoffs between the various paradigms discussed
McGraw-Hill, 2005. — 662 p. — ISBN: 0-07-059033-8. Language: English. "Modern Processor Design: Fundamentals of Superscalar Processors" is an exciting new first edition from John Shen of Carnegie Mellon University, and Intel and Mikko Lipasti of the University of Wisconsin-Madison. This book brings together the numerous micro architectural techniques for harvesting more...
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