Abstract
In this paper, we study the load balancing problem for PCS simulation systems, and focus upon static strategies in order to reduce the synchronization overhead of SWiMNet, a parallel PCS simulation testbed devoloped at UNT. Performance results on a cluster of workstations indicate clearly the significant impact of load balancing on the efficient implementation of SWiMNet and its two stage design.
This work was supported by the UNT Faculty Research Grant
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Boukerche, A., Fabbri, A. (2000). Partitioning PCS Networks for Distributed Simulation. In: Valero, M., Prasanna, V.K., Vajapeyam, S. (eds) High Performance Computing — HiPC 2000. HiPC 2000. Lecture Notes in Computer Science, vol 1970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44467-X_41
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DOI: https://doi.org/10.1007/3-540-44467-X_41
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