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Position Paper: Validity of the Static Dataflow Approach for Exascale Computing Challenges

机译:立场文件:静态数据流方法应对百亿亿次计算挑战的有效性

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Instead of adhering to the common wisdom that endorses multi-threading, shared memory, and imperative programming as the only dominant models for efficient future architecture design, in this paper we argue that static dataflow is still a valid alternative model to guide the design of exascale machines. We explain our position showing how it is possible to directly map dataflow graphs onto a dataflow processor chip created with thousands of dataflow actor cores. This thanks to a demand-data driven approach to the co-design process that combines functional programming style with a dataflow model. This approach offers a valid solution to effectively and efficiently design, organize, and program dataflow machines.
机译:在本文中,我们没有坚持将多线程,共享内存和命令式编程作为未来高效架构设计的唯一主导模型的常识,而是认为静态数据流仍然是指导百亿亿次规模设计的有效替代模型。机器。我们将解释我们的立场,以表明如何将数据流图直接映射到由成千上万个数据流参与者核心创建的数据流处理器芯片上。这要归功于需求数据驱动的协同设计流程方法,该方法将功能性编程风格与数据流模型结合在一起。这种方法为有效,高效地设计,组织和编程数据流机器提供了有效的解决方案。

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