AI for Computer ArchitecturePrinciples, Practice, and Prospects
| AI for Computer Architecture. Principles, Practice, and Prospects Lizhong Chen, Oregon State University Drew Penney, Oregon State University Daniel Jiménez, Texas A&M University 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. READ MORE AND BUY TODAY Check if you have access via Synthesis Digital Library |