流应用在多核处理器上的高效并行执行

T. Schüle
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引用次数: 3

摘要

我们提出了一种并行执行处理连续数据流的应用程序的方法。与基于管道的方法不同,基于管道的方法经常用于为多核处理器并行化软件,我们的方法支持可能包含条件的非线性结构。非线性结构减少了处理流中元素的延迟,这对于受实时限制的嵌入式系统尤为重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Parallel Execution of Streaming Applications on Multi-core Processors
We propose a method for the parallel execution of applications that process continuous streams of data. Unlike pipeline-based approaches, which are frequently employed to parallelize software for multi-core processors, our method supports nonlinear structures that may contain conditionals. Nonlinear structures reduce the latency for processing an element from a stream, which is particularly important for embedded systems that are subject to real-time constraints.
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