DSP address optimization using evolutionary algorithms

Offset assignment has been studied as a highly effective approach to code optimization in modern digital signal processors (DSPs). In this paper, we propose two evolutionary algorithms to solve the general offset assignment problem with k address registers and an arbitrary auto-modify range. These algorithms differ from previous algorithms by having the capability of visiting the entire search space. We implement and analyze a variety of existing general offset assignment algorithms and test them on a set of standard benchmarks. The algorithms we propose can achieve a performance improvement of up to 31% over the best existing algorithm. We also achieve an average of 14% improvement over the union of recently proposed algorithms.