Beyond Execution Time: Expanding the Use of Performance Models
IEEE Parallel & Distributed Technology: Systems & Technology
Performance of Synchronous Parallel Algorithms with Regular Structures
IEEE Transactions on Parallel and Distributed Systems
Performance Analysis of Synchronized Iterative Algorithms on Multiprocessor Systems
IEEE Transactions on Parallel and Distributed Systems
Optimal Periodic Remapping of Bulk Synchronous Computations on Multiprogrammed Distributed Systems
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
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In dynamic bulk synchronous computations, processors may change their workloads from phase to phase. Such workload change will possibly increase the duration of a phase and the overall parallel execution time. Therefore, it is necessary to redistribute workload at runtime to reduce the parallel time. However, such workload redistribution at runtime can be expensive and the overhead of frequent runtime workload redistribution may exceed the benefit of workload redistribution and balancing. The problem of finding the optimal period of runtime workload redistribution for dynamic bulk synchronous computations is motivated by the combined consideration of parallel execution time and system overhead for workload redistribution and balancing. We develop an analytical method to solve the problem in heterogeneous computing systems. We also demonstrate numerical data of the analytical method and simulation results that verify the analytical data.