Judith Hippold

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Clusters of SMPs (symmetric multiprocessors) are popular platforms for parallel programming since they provide large computational power for a reasonable price. For irregular application programs with dynamically changing computation and data access behavior a flexible programming model is needed to achieve efficiency. In this paper we propose Task Pool(More)
The characteristics of irregular algorithms make a parallel implementation difficult, especially for PC clusters or clusters of SMPs. These characteristics may include an unpredictable access behavior to dynamically changing data structures or strong irregular coupling of computations. Problems are an unknown load distribution and expensive irregular(More)
The parallel realization of adaptive finite element methods (FEM) has to deal with several irregular and dynamic algorithmic properties caused by adaptive mesh refinement (AMR). For an implementation on distributed memory machines irregular communication behavior results from dynamically growing data structures and statically unknown communication partners.(More)
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