Abstract
PARUS is a parallel programing framework that allows building parallel programs in data flow graph notation. The data flow graph is created by developer either manually or automatically with the help of a script. The graph is then converted to C++/MPI source code and linked with the PARUS runtime system. The next step is the parallel program execution on a cluster or multiprocessor system. PARUS also implements some approaches for load balancing on heterogeneous multiprocessor system. There is a set of MPI tests that allow developer to estimate the information about communications in a multiprocessor or cluster. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Salnikov, A. N. (2006). PARUS: A parallel programming framework for heterogeneous multiprocessor systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4192 LNCS, pp. 408–409). Springer Verlag. https://doi.org/10.1007/11846802_59
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