Journal of Parallel and Distributed Computing
mpC + ScaLAPACK = Efficient Solving Linear Algebra Problems on Heterogeneous Networks
Euro-Par '99 Proceedings of the 5th International Euro-Par Conference on Parallel Processing
ISPDC '04 Proceedings of the Third International Symposium on Parallel and Distributed Computing/Third International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Networks
A New Task Graph Model for Mapping Message Passing Applications
IEEE Transactions on Parallel and Distributed Systems
HiPC'06 Proceedings of the 13th international conference on High Performance Computing
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing
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The paper is devoted to analysis of a strategy of computation distribution on heterogeneous parallel systems. According to this strategy processes of parallel program are distributed over the processors according to their performances and data are distributed between processes evenly. The paper presents an algorithm that computes optimal number of the processes and their distribution over processors minimizing the execution time of an application. The processor performance is considered as a function of the number of processes running on the processor and the amount of the data processing by the processor.