| Publisher | University of Minnesota | ||
|---|---|---|---|
| Format | 226.6KB PDF | Date added | 01 May 2000 |
| Topics | Load Balancing, Diagnostics and Analysis | ||
| Downloads | 1 | ||
Adaptive scientific simulations require that periodic repartitioning occur dynamically throughout the course of the simulation. The computed repartitionings should minimize both the inter-processor communications incurred during the iterative mesh-based computation and the data redistribution costs required to balance the load. Recently developed schemes for computing repartitionings provide the user with only a limited control of the tradeoffs among these objectives. This paper describes a new Unified Repartitioning Algorithm that can gracefully tradeoff one objective for the other dependent upon a user-defined parameter describing the relative costs of these objectives.
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