Load Balancing for Extraplation Methods on Distributed Memory Multiprocessors
نویسندگان
چکیده
We presents a parallel algorithm for extrapolation methods on distributed memory multiprocessors combining diierent levels of par-allelism. A detailed analysis that uses appropriate primitives for communication shows that a sophisticated load balancing scheme is required to achieve a good speedup. We characterize an optimal load balancing based on Lagrange multipliers and investigate several simple schemes derived from the optimal method.
منابع مشابه
Using Spanning-Trees for Balancing Dynamic Load on Multiprocessors - Distributed Memory Computing Conference, 1991. Proceedings., The Sixth
We consider the problem of load balancing t o minimize the cost of dynamic computations, including the cost of migrations. We analyze the costs associated with diffusion based algorithms for several common architectures. We introduce the Ripple load balancing paradigm, which has several advantages over diffusion methods, including flexibility and faster convergence.
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