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AI for Computer Architecture
- Principles, Practice, and Prospects
Af: Daniel Jimenez, Drew Penney, Lizhong Chen
Engelsk Paperback
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AI for Computer Architecture

- Principles, Practice, and Prospects
Af: Daniel Jimenez, Drew Penney, Lizhong Chen
Engelsk Paperback
Paperback
512 kr
Tilføj til kurv
Sikker betaling
23 - 25 hverdage
Om denne bog
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.
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Product detaljer
Sprog:
Engelsk
Sider:
124
ISBN-13:
9783031006425
Indbinding:
Paperback
Udgave:
ISBN-10:
3031006429
Kategori:
Udg. Dato:
6 nov 2020
Længde:
0mm
Bredde:
191mm
Højde:
235mm
Forlag:
Springer International Publishing AG
Oplagsdato:
6 nov 2020
Forfatter(e):
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