Agentic AI can discover better microarchitecture designs than humans by breaking large search spaces into manageable pieces and embedding hardware constraints directly into the optimization loop.
ArchAgent v2 automatically designs data prefetching policies for computer processors using evolutionary search, beating hand-designed solutions in a competition. It introduces cascaded evolution (optimizing cache levels sequentially) and hardware-realizability feedback to handle the massive design space, achieving 3.8% performance improvement over baseline.