AI for computer architecture : principles, practice, and prospects

Titel: AI for computer architecture principles, practice, and prospects
verantwortlich: Chen, Lizhong (Associate professor) (VerfasserIn); Penney, Drew (VerfasserIn); Jiménez, Daniel (VerfasserIn)
Schriftenreihe: Synthesis lectures on computer architecture ; #55
veröffentlicht: [San Rafael, California]: Morgan & Claypool Publishers, [2021]
Erscheinungsjahr: 2021
Teil von: Synthesis lectures in computer architecture ; ; #55.
Medientyp: Buch
Datenquelle: British Library Catalogue
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Zusammenfassung: 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.
Umfang: xvii, 124 pages; illustrations; 26 cm
Sprache: Englisch
Schlagworte: Artificial intelligence.

Computer architecture.

Machine learning.
DDC-Notation: 006.3
Bibliografie: Includes bibliographical references.
ISBN: 9781681739847
1681739844
9781681739861
1681739860