Abstract
In this paper we propose a solution, based on static analysis and statistical techniques, for the problem of the determination of the possible interaction patterns among the processes of a PVM message passing program, when these present a data-dependent behavior. A prototypic implementation of this technique has been coupled with MPSS, a tool for simulation and performance prediction of PVM message passing programs, in order to overcome its unability to deal with non-deterministic and data dependent programs, and thus to provide for a complete program characterization in terms of idle-, cpu-, communication and synchronization time, for irregular and data-dependent programs.
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© 1997 Springer-Verlag Berlin Heidelberg
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Di Martino, B., Mazzeo, A., Mazzocca, N., Villano, U. (1997). Interaction patterns detection in PVM programs to support simulation. In: Bubak, M., Dongarra, J., Waśniewski, J. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 1997. Lecture Notes in Computer Science, vol 1332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63697-8_92
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DOI: https://doi.org/10.1007/3-540-63697-8_92
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