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A hybrid scheme for processing data structures in a dataflow environment

机译:用于在数据流环境中处理数据结构的混合方案

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The asynchronous nature of the dataflow model of computation allows the exploitation of maximum inherent parallelism in many application programs. However, before the dataflow model of computation can become a viable alternative to the control flow model of computation, one has to find practical solutions to some problems such as efficient handling of data structures. The paper introduces a new model for handling data structures in a dataflow environment. The proposed model combines constant time access capabilities of vectors as well as the flexibility inherent in the concept of pointers. This allows a careful balance between copying and sharing to optimize the storage and processing overhead incurred during the operations on data structures. The mode) is compared by simulation to other data structure models proposed in the literature, and the results are good.
机译:计算数据流模型的异步性质允许在许多应用程序中利用最大的固有并行性。然而,在计算的数据流模型能够成为计算的控制流模型的可行替代方案之前,人们必须找到一些问题的实际解决方案,例如有效处理数据结构。本文介绍了一种用于在数据流环境中处理数据结构的新模型。所提出的模型结合了向量的恒定时间访问能力以及指针概念中固有的灵活性。这允许在复制和共享之间进行仔细的平衡,以优化对数据结构进行操作期间发生的存储和处理开销。通过仿真与文献中提出的其他数据结构模型进行比较,结果良好。

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