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Center for Nonlinear Studies |
Scalability of parallel applications depends on a number of characteristics, among which is efficient communication, equal distribution of work or efficient data layout. Especially for methods based on domain decomposition, as it is standard for, e.g., molecular dynamics, dissipative particle dynamics or particle-in-cell methods, unequal load is to be expected for cases where particles are not distributed homogeneously, different costs of interaction calculations are present or heterogeneous architectures are invoked, to name a few. For these scenarios the code has to decide how to redistribute the work among processes according to a work sharing protocol or to dynamically adjust computational domains, to balance the workload. In the talk I will discuss various methods and implementations on the level of tensor product decomposition, staggered grids, non-homogeneous mesh decomposition and a recently developed phased field approach. An outlook is given for a unified implementation in a library.
Host: Christoph Junghans