Ursula Fissgus

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Distributed memory machines are still not broadly accepted although they provide large computing power. One of the reason is the costly development process for a speciic parallel algorithm on a speciic distributed memory machine. Due to the complicated runtime behavior caused by communication overhead and load imbalance nding an ee-cient parallel version of(More)
We consider the scheduling of mixed task and data parallel modules comprising computation and communication operations. The program generation starts with a specification of the maximum degree of task and data paral-lelism of the method to be implemented. In several derivation steps, the degree of parallelism is adapted to a specific distributed memory(More)
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