A genetic approach to the design space exploration of superscalar microprocessor architectures

This paper illustrates the results of a study on the automatic design space exploration of superscalar CPU architectures through genetic algorithms. The approach can take into account instruction level parallelism in conjunction with clock cycle time estimates, which could be a cumbersome task if it totally demanded human decisions.