Dynamic load balancing for distributed memory multiprocessors
Journal of Parallel and Distributed Computing
Parallel dynamic graph partitioning for adaptive unstructured meshes
Journal of Parallel and Distributed Computing - Special issue on dynamic load balancing
Multilevel diffusion schemes for repartitioning of adaptive meshes
Journal of Parallel and Distributed Computing - Special issue on dynamic load balancing
A comparison of some dynamic load-balancing algorithms for a parallel adaptive flow solver
Parallel Computing - Special issue on graph partioning and parallel computing
New challenges in dynamic load balancing
Applied Numerical Mathematics - Adaptive methods for partial differential equations and large-scale computation
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Large scale computing requires parallelization in order to arrive at solution at reasonable time. Today parallelization is a standard in fluid problems simulation. On the other hand adaptation is a technique that allows for dynamic modification of the mesh as the need for locally higher resolution arises. Adaptation used during parallel simulation leads to unbalanced numerical load. This in turn decreases the efficiency of parallelization. Dynamic load balancing strategies should be applied in order to ensure proper parallelization efficiency. The paper presents the potential benefits of applying the dynamic load balancing to adaptive flow problems simulated in parallel environments.