AI for Computer Architecture: Principles, Practice, and Prospects

丛 书 名：Synthesis Lectures on Computer Architecture

作     者：Lizhong Chen Drew Penney Daniel Jiménez 

I S B N：(纸本) 9781681739847;9781681739861 

出 版 社：Morgan & Claypool 

出 版 年：2020年

主 题 词：information science \u0026 technology computer science information science \u0026 technology computer science 

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

摘      要：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.