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• W2046096512 abstract "Distributing data is a fundamental problem in implementing efficient distributed-memory parallel programs. The problem becomes more difficult in environments where the participating nodes are not dedicated to a parallel application. We are investigating the data distribution problem in non-dedicated environments in the context of explicit message-passing programs. To address this problem, we have designed and implemented an extension to MPI called dynamic MPI (Dyn-MPI). The key component of Dyn-MPI is its run-time system, which efficiently and automatically redistributes data on the fly when there are changes in the application or the underlying environment. Dyn-MPI supports efficient memory allocation, precise measurement of system load and computation time, and node removal. Performance results show that programs that use Dyn-MPI execute efficiently in non-dedicated environments, including up to almost a threefold improvement compared to programs that do not redistribute data and a 25% improvement over standard adaptive load balancing techniques." @default.
• W2046096512 created "2016-06-24" @default.
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• W2046096512 creator A5060396489 @default.
• W2046096512 creator A5089825179 @default.
• W2046096512 date "2006-06-01" @default.
• W2046096512 modified "2023-09-24" @default.
• W2046096512 title "Dyn-MPI: Supporting MPI on medium-scale, non-dedicated clusters" @default.
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• W2046096512 doi "https://doi.org/10.1016/j.jpdc.2006.02.002" @default.
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