A formal approach to code optimization
Alfred V. Aho, Ravi Sethi, Jeffrey David Ullman · ACM SIGPLAN Notices · 1970
We examine from a formal point of view some problems which arise in code optimization and present some of the results which can come from such an approach. Specifically, a set of transformations which characterize optimization algorithms for straight line code is presented. Then we present an algorithm which produces machine code for evaluating arithmetic expressions on machines with N ≥ 1 general purpose registers. We can prove that this algorithm produces optimal code when the cost criterion is the length of machine code generated.