Savina Bansal

Task Scheduling for Multiprocessor Systems: Homogeneous, Heterogeneous and Mixed Parallel Computing Environment: Heuristic-based Approach Savina Bansal

Parallel processing has seen incredible growth with increasingly complex scientific & engg applications coming to their realm. Task scheduling,a key issue for its success,& design of efficient algorithms play a crucial role in it. Due to NP-completeness of the problem research efforts are mainly focussed at heuristic-based approaches to generate near-optimal schedules within reasonable time & resource constraints. Most of the heuristics, however, ignore practical aspect and/or compromise too much on complexity or performance. This monograph provides an in-depth insight into these issues. An overview of state-of-the-art scheduling,reflecting changing paradigms,is also provided. In addition,for scheduling DAG structured applications,3 efficient algorithms are presented & analyzed for homogeneous, heterogeneous & mixed-parallel computing environments. Selective-duplication heuristic is introduced and its usefulness in dealing with IPC overhead is shown in comparison to list,clustering and duplication-based heuristics. An A-cube performance model is suggested to comprehensively study behavior of algorithm, application & architecture in heterogeneous environment.