AI for Computer Architecture: Principles, Practice, and Prospects
暫譯: 電腦架構中的人工智慧:原則、實踐與前景

Chen, Lizhong, Penney, Drew, Jiménez, Daniel

  • 出版商: Morgan & Claypool
  • 出版日期: 2020-11-06
  • 售價: $1,930
  • 貴賓價: 9.5$1,834
  • 語言: 英文
  • 頁數: 142
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1681739844
  • ISBN-13: 9781681739847
  • 相關分類: 人工智慧
  • 海外代購書籍(需單獨結帳)

買這商品的人也買了...

商品描述

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.

商品描述(中文翻譯)

人工智慧已經在多個領域促進了關鍵性的進展,但其對計算機架構的影響才剛剛開始。 特別是,最近的研究探索了在計算機架構的設計、優化和模擬方面的更廣泛應用。值得注意的是,基於機器學習的策略通常超越了先前的最先進分析、啟發式和人類專家方法。本書回顧了機器學習在系統級模擬和運行時優化中的應用,以及在許多個別組件中的應用,如快取/記憶體、分支預測器、片上網路(network-on-chip)和GPU。本書進一步分析了當前的實踐,以突顯有用的設計策略並識別未來工作的領域,基於優化的實施策略、對現有工作的適時擴展以及雄心勃勃的長期可能性。綜合來看,這些策略和技術為日益自動化的計算機架構設計展現了光明的未來。