| 000 | 03311nam a22005295i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-01770-4 | ||
| 003 | DE-He213 | ||
| 005 | 20240730163718.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220601s2021 sz | s |||| 0|eng d | ||
| 020 |
_a9783031017704 _9978-3-031-01770-4 |
||
| 024 | 7 |
_a10.1007/978-3-031-01770-4 _2doi |
|
| 050 | 4 | _aTK7867-7867.5 | |
| 072 | 7 |
_aTJFC _2bicssc |
|
| 072 | 7 |
_aTEC008010 _2bisacsh |
|
| 072 | 7 |
_aTJFC _2thema |
|
| 082 | 0 | 4 |
_a621.3815 _223 |
| 100 | 1 |
_aChen, Lizhong. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980127 |
|
| 245 | 1 | 0 |
_aAI for Computer Architecture _h[electronic resource] : _bPrinciples, Practice, and Prospects / _cby Lizhong Chen, Drew Penney, Daniel Jiménez. |
| 250 | _a1st ed. 2021. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
|
| 300 |
_aXVII, 124 p. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_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. | ||
| 650 | 0 |
_aElectronic circuits. _919581 |
|
| 650 | 0 |
_aMicroprocessors. _980128 |
|
| 650 | 0 |
_aComputer architecture. _93513 |
|
| 650 | 1 | 4 |
_aElectronic Circuits and Systems. _980129 |
| 650 | 2 | 4 |
_aProcessor Architectures. _980130 |
| 700 | 1 |
_aPenney, Drew. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980131 |
|
| 700 | 1 |
_aJiménez, Daniel. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980132 |
|
| 710 | 2 |
_aSpringerLink (Online service) _980133 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031000676 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031006425 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031028984 |
| 830 | 0 |
_aSynthesis Lectures on Computer Architecture, _x1935-3243 _980134 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-01770-4 |
| 912 | _aZDB-2-SXSC | ||
| 942 | _cEBK | ||
| 999 |
_c84903 _d84903 |
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