Supercompiler Code Optimization with Zero-Shot Reinforcement Learning

arXiv:2404.16077v1 Announce Type: cross
Abstract: Effective code optimization in compilers plays a central role in computer and software engineering. While compilers can be made to automatically search the optimization space without the need for user interventions, this is not a standard practice since the search is slow and cumbersome. Here we present CodeZero, an artificial intelligence agent trained extensively on large data to produce effective optimization strategies instantly for each program in a single trial of the agent. To overcome …

abstract arxiv code compilers computer cs.lg cs.pl engineering optimization practice reinforcement reinforcement learning role search software software engineering space standard type while zero-shot