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DaSH: A benchmark suite for hybrid dataflow and shared memory programming models

机译:DaSH:用于混合数据流和共享内存编程模型的基准套件

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摘要

The current trend in development of parallel programming models is to combine different well established models into a single programming, model in order to support efficient implementation of a wide range of real world applications. The dataflow model has particularly managed to recapture the interest of the research community due to its ability to express parallelism efficiently. Thus, a number of recently proposed hybrid parallel programming models combine dataflow and traditional shared memory models. Their findings have influenced the introduction of task dependency in the OpenMP 4.0 standard.
机译:并行编程模型开发的当前趋势是将成熟的不同模型组合到一个编程模型中,以支持各种现实应用的有效实现。数据流模型由于能够有效地表达并行性而特别成功地引起了研究界的关注。因此,许多最近提出的混合并行编程模型将数据流和传统的共享内存模型结合在一起。他们的发现影响了OpenMP 4.0标准中任务依赖的引入。

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