AI for Computer Architecture (Record no. 84903)
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000 -LEADER | |
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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. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
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-- | rdacarrier |
347 ## - | |
-- | text file |
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-- | 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 |
912 ## - | |
-- | ZDB-2-SXSC |
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