Abstract
In this article we present the results obtained from the execution of a commercial Computational Fluid Dynamics program on a cluster of personal computers. The communication and data interchange between the nodes uses a Distributed Shared Memory (DSM) system called TreadMarks. The parallelized program was run on a 100Mbit/s Ethernet network connecting 4 personal computers. Using data similar to a real execution on a industrial environment, we achieved a maximum speedup of about 1.7 and measured an allmost constant communication time with various number of nodes. Comparing our DSM solution with a similar parallelization approach but using Message passing we observed that with less effort we can accomplish better performance with less communication if using a DSM system.
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Silva, J., Guedes, P. (2001). Ship Hull Hydrodynamic Analysis Using Distributed Shared Memory. In: Sørevik, T., Manne, F., Gebremedhin, A.H., Moe, R. (eds) Applied Parallel Computing. New Paradigms for HPC in Industry and Academia. PARA 2000. Lecture Notes in Computer Science, vol 1947. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-70734-4_43
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DOI: https://doi.org/10.1007/3-540-70734-4_43
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