Optimal and near-optimal techniques for multiprocessor scheduling of multiple-rate algorithms on synchronous multiprocessor systems

The authors describe two multiprocessor compiler techniques that generate synchronous multiprocessor schedules for multiple-rate algorithms represented by fully specified flow graphs (FSFGs) which contain up-samplers and down-samplers. The first scheduling technique is based on a modified multi-cyclic multiprocessor compiler that finds globally optimal solutions. The second technique generates near-optimal solutions by trading global optimality for a lower scheduling complexity. These scheduling techniques are illustrated with examples