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- W2014204421 abstract "Task-based programming models are beneficial for the development of parallel programs for several reasons. They provide a decoupling of the specification of parallelism from the scheduling and mapping to execution resources of a specific hardware platform, thus allowing a flexible and individual mapping. For platforms with a distributed address space, the use of parallel tasks, instead of sequential tasks, adds the additional advantage of a structuring of the program into communication domains that can help to reduce the overall communication overhead. In this article, we consider the parallel programming model of communicating parallel tasks (CM-tasks), which allows both task-internal communication as well as communication between concurrently executed tasks at arbitrary points of their execution. We propose a corresponding scheduling algorithm and describe how the scheduling is supported by a transformation tool. An experimental evaluation using synthetic task graphs as well as several complex application programs shows that employing the CM-task model may lead to significant performance improvements compared to other parallel execution schemes." @default.
- W2014204421 created "2016-06-24" @default.
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- W2014204421 date "2013-02-01" @default.
- W2014204421 modified "2023-10-07" @default.
- W2014204421 title "Programming support and scheduling for communicating parallel tasks" @default.
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- W2014204421 doi "https://doi.org/10.1016/j.jpdc.2012.09.017" @default.
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