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AI for computer architecture : = principles, practice, and prospects /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	AI for computer architecture :/ Lizhong Chen, Drew Penney, Daniel Jiménez.
其他題名:	principles, practice, and prospects /
作者:	Chen, Lizhong.
其他作者:	Jiménez, Daniel,
出版者:	[San Rafael, Calif.] :Morgan & Claypool, : c2021.,
面頁冊數:	xvii, 124 p. :ill. ; : 24 cm.;
標題:	Machine learning. -
ISBN:	9781681739847 (pbk.) :

AI for computer architecture : = principles, practice, and prospects /
Chen, Lizhong.

AI for computer architecture :principles, practice, and prospects /Lizhong Chen, Drew Penney, Daniel Jiménez. - [San Rafael, Calif.] :Morgan & Claypool,c2021. - xvii, 124 p. :ill. ;24 cm. - Synthesis lectures on computer architecture,#551935-3235 ;.

Includes bibliographical references (p. 103-121).

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.

ISBN: 9781681739847 (pbk.) :NT1497

Nat. Bib. Agency Control No.: 020251065UkSubjects--Topical Terms:

561253
Machine learning.

Dewey Class. No.: 006.3

AI for computer architecture : = principles, practice, and prospects /
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020 $a 9781681739861 (cloth)
020 $z 9781681739854 (ebook)
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245 1 0 $a AI for computer architecture : $b principles, practice, and prospects / $c Lizhong Chen, Drew Penney, Daniel Jiménez.
260 # $a [San Rafael, Calif.] : $b Morgan & Claypool, $c c2021.
300 $a xvii, 124 p. : $b ill. ; $c 24 cm.
490 0 $a Synthesis lectures on computer architecture, $x 1935-3235 ; $v #55
504 $a Includes bibliographical references (p. 103-121).
520 # $a 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.
650 # 0 $a Machine learning. $3 561253
650 # 0 $a Artificial intelligence. $3 559380
650 # 0 $a Computer architecture. $3 528145
700 1 # $a Jiménez, Daniel, $d 1969- $3 1370990
700 1 # $a Penney, Drew. $3 1370989