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Load Balancing Strategies for Parallel SAMR Algorithms

PublisherBrandenburg University of Technology
Format2.2MB PDFDate added01 Oct 2005
Topics Load Balancing
Downloads12

Highly resolved numerical solutions of partial differential equations are important in many areas of science and technology. Only adaptive mesh refinement methods reduce the necessary work sufficiently, allowing the calculation of realistic problems. Block-structured methods are well-suited for the time-explicit computation of large-scale dynamical problems, but still require parallelization on distributed systems. Unfortunately, assigning tasks in a load-balanced manner is even more difficult than for unstructured mesh refinement techniques. Therefore the application-specific load-balancing problem is analyzed more deeply in order to adapt and integrate existing strategies and libraries. Common approaches decompose the work domain into smaller parts and assign them to processors using workload data, geometric information and neighborhood relationship.

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