Execution flow control: Simplified design of parallel applications

Jing-Wen Jin, Xin Li, Shanzhi Chen, Yan Wang
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Abstract

Google's MapReduce enables program automatic parallelization by partitioning input data and replicating functions, but it does not directly support complex parallel modes like pipeline. However, many parallel modes are helpful to optimize solution of parallel computing problem. In this paper, we propose EFC (Execution Flow Control), a novel programming model and related implementation. It supports an execution-flow control interface which makes the model more compatible with different parallel modes. It allows user to modify execution flow as needed. The new model enables simple compact design of most parallel modes.
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执行流控制:简化并行应用程序的设计
Google的MapReduce通过划分输入数据和复制函数来实现程序自动并行化,但它不直接支持复杂的并行模式,比如流水线。然而,许多并行模式有助于并行计算问题的优化求解。本文提出了一种新的编程模型EFC (Execution Flow Control)及其实现方法。它支持一个执行流控制接口,使模型与不同的并行模式更加兼容。它允许用户根据需要修改执行流。新模型使大多数并行模式的设计简单紧凑。
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