A heuristic approach to datapath scheduling of complex conditional structure

This paper proposes a new heuristic approach to the time-constrained datapath scheduling with complex conditional structures. This algorithm intends to select the best of all solutions attained by the iterative refinement process. Experimental results demonstrate that this algorithm attains optimal results in most cases and can be applied to a practical scale of datapath scheduling.