Abstract
The hierarchical combination of decomposition strategies for the development of parallel Particle-in-cell simulation codes, targeted to hierarchical distributed-shared memory architectures, is discussed in this paper, along with its MPI+OpenMP implementation. Particular emphasis is given to the devised dynamic workload balancing technique. © Springer-Verlag Berlin Heidelberg 2003.
Cite
CITATION STYLE
Briguglio, S., Di Martino, B., Fogaccia, G., & Vlad, G. (2003). Hierarchical MPI+OpenMP implementation of parallel PIC applications on clusters of symmetric multiprocessors. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2840, 180–187. https://doi.org/10.1007/978-3-540-39924-7_27
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