AI for Computer Architecture Book by Daniel Jiménez
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AI for Computer Architecture

AI for Computer Architecture


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About the Book

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.

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.

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 Details
  • ISBN-13: 9781681739861
  • Publisher: Morgan & Claypool
  • Publisher Imprint: Morgan & Claypool
  • Height: 235 mm
  • No of Pages: 142
  • Series Title: Synthesis Lectures on Computer Architecture
  • Weight: 517 gr
  • ISBN-10: 1681739860
  • Publisher Date: 06 Nov 2020
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Spine Width: 10 mm
  • Width: 191 mm


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