| Donald G. Morris and David K. Lowenthal. Accurate data redistribution cost estimation in software distributed shared memory systems. In Eighth ACM PPOPP, pages 62--71, June 2001. |
....issue of either load balance or locality or both but not with scheduling issues. Ioannidis et al. 12] propose a method of assigning loops to each of the pro cesses based on the observed relative power and the locality of data (in order to minimize steady state communication) Lowenthal et al. [18, 11] use a global strategy for optimizing the execution path through the data distribution graph of a program, which is executed at runtime and directed by the number of incurred page faults and computation time of each parallel region. The other studies mentioned suggest various heuristics for ....
....regions vary considerably, communication is assumed to be large due to the necessary redistribution, and a partitioning is chosen appropriately. At the same time, the current partitioning is updated. This strategy is localized, requiring less computation than the more global strategy proposed in [11]. Reassignment of tasks occurs when a signi cant change in the RelativePower is detected 2 . Task redistribution is performed on the basis of locality. For a STENCIL access pattern, tasks are redistributed among neighboring processors in order to minimize steady state communication. For an ....
D. G. Morris III and D. K. Lowenthal. Accurate data redistribution cost estimation in software distributed shared memory systems. In Proceedings of the 8th Symposium on the Principles and Practice of Parallel Programming, June 2001.
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Donald G. Morris and David K. Lowenthal. Accurate data redistribution cost estimation in software distributed shared memory systems. In Eighth ACM PPOPP, pages 62--71, June 2001.
No context found.
Donald G. Morris and David K. Lowenthal. Accurate data redistribution cost estimation in software distributed shared memory systems. In Principles and Practice of Parallel Programming, pages 62--71, June 2001.
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