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Solving NP-hard combinatorial optimization problems by exact search methods, such as Branch-and-Bound, may degenerate to complete enumeration. For that reason, exact approaches limits us to solve only small or moderate size problem instances, due to the exponential increase in CPU time when problem size increases. One of the most promising ways to reduce significantly the computational burden of sequential...
A new Dynamic Load Balancing (DLB) method for automatic performance tuning in parallel, adaptive, 3-D mesh refinement is developed based on study of characteristics of Finite Element Method (FEM) on electromagnetics with tetrahedra. On the top of existing DLB algorithms, the new design optimized the task pool location of each processing element (PE) and the initial data assignments in multiprocessor...
An asynchronous work-stealing implementation of dynamic load balance is implemented using Unified Parallel C (UPC) and evaluated using the Unbalanced Tree Search (UTS) benchmark [Olivier, S., et al., 2007]. The UTS benchmark presents a synthetic tree-structured search space that is highly imbalanced. Parallel implementation of the search requires continuous dynamic load balancing to keep all processors...
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