AI for Computer Architecture
Principles, Practice, and Prospects
Daniel Jimenez author Lizhong Chen author Drew Penney author
Format:Paperback
Publisher:Springer International Publishing AG
Published:6th Nov '20
Currently unavailable, and unfortunately no date known when it will be back
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.
ISBN: 9783031006425
Dimensions: unknown
Weight: unknown
124 pages