AI for Computer Architecture (Record no. 84903)

000 -LEADER
fixed length control field 03311nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-3-031-01770-4
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730163718.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2021 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031017704
-- 978-3-031-01770-4
082 04 - CLASSIFICATION NUMBER
Call Number 621.3815
100 1# - AUTHOR NAME
Author Chen, Lizhong.
245 10 - TITLE STATEMENT
Title AI for Computer Architecture
Sub Title Principles, Practice, and Prospects /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2021.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVII, 124 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Computer Architecture,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Preface -- Acknowledgments -- Introduction -- Basics of Machine Learning in Architecture -- Literature Review -- Case Studies -- Analysis of Current Practice -- Future Directions of AI\nobreakspace { -- Conclusions -- Bibliography -- Authors' Biographies.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Penney, Drew.
700 1# - AUTHOR 2
Author 2 Jiménez, Daniel.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-01770-4
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2021.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electronic circuits.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Microprocessors.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer architecture.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electronic Circuits and Systems.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Processor Architectures.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1935-3243
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-- ZDB-2-SXSC

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