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008			220601s2021 sz | s |||| 0|eng d
020			_a9783031017704
024	7		_a10.1007/978-3-031-01770-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.A73 _b2021 EB
100	1		_aChen, Lizhong _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686911 _c(Associate professor)
245	1	0	_aAI for Computer Architecture : _bPrinciples, Practice, and Prospects _cby Lizhong Chen, Drew Penney, Daniel Jiménez
250			_a1st edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XVII, 124 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Computer Architecture _x1935-3243
505	0		_aPreface -- 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			_aArtificial 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.
988			_aSynthesis Collection of Technology_2021
650		7	_2embne _9166090 _aAprendizaje automático
650		7	_2embne _9144554 _aArquitectura de ordenador
650		7	_2embne _aInteligencia artificial _9413115
700	1		_aPenney, Drew _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686912
700	1		_aJiménez, Daniel, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686913 _d1969-
776	0	8	_iPrinted edition: _z9783031000676
776	0	8	_iPrinted edition: _z9783031006425
776	0	8	_iPrinted edition: _z9783031028984
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01770-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _esc _zSI