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Ai for Computer Architecture: Principles, Practice, and Prospects


ISBN-10: 1681739844, 1681739860 ISBN-13: 978-1681739847, 978-1681739861


(Synthesis Lectures on Computer Architecture) 

by Lizhong Chen (Author), Drew Penney (Author), Daniel JimĂ©nez (Author) 

Artificial intelligence has already enabled pivotal advances in diverse fields, yet its impact on computer architecture has only just begun. In particular, recent work has explored broader application to the design, optimization, and simulation of computer architecture. Notably, machine-learning-based strategies often surpass prior state-of-the-art analytical, heuristic, and human-expert approaches. This book reviews the application of machine learning in system-wide simulation and run-time optimization, and in many individual components such as caches/memories, branch predictors, networks-on-chip, and GPUs. The book further analyzes current practice to highlight useful design strategies and identify areas for future work, based on optimized implementation strategies, opportune extensions to existing work, and ambitious long term possibilities. Taken together, these strategies and techniques present a promising future for increasingly automated computer architecture designs.


Year: 2021
Pages: 144
Language: English
Format: PDF
Size: 10 MB
Morgan & Claypool
ISBN-10: 1681739844, 1681739860
ISBN-13: 978-1681739847, 978-1681739861
Tag: Download Book Ai for Computer Architecture: Principles, Practice, and Prospects


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