AI for Computer Architecture

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.