Incremental foresighted local compaction

Abstract

Under timing constraints, local compaction may fail because of poor scheduling decisions. Su [SDWX87] uses foresight to avoid some of the poor scheduling decisions. However, the foresight takes a considerable amount of time. In this paper the Incremental Foresight algorithm is introduced. Experiments using four different target architectures show that the Incremental Foresight algorithm works as well as foresight, and saves around 48 percent of the excess time.