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Parallel algorithms for force directed scheduling of flattened and hierarchical signal flow graphs

机译:扁平和分层信号流图的力定向调度并行算法

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In this paper we present some novel algorithms for scheduling hierarchical signal flow graphs in the domain of high-level synthesis. There are several key contributions of this paper. First, we develop a novel extension of the force directed scheduling problem which naturally handles loops and conditionals by coming up with a scheme of scheduling hierarchical signal flow graphs. Second, we develop three new parallel algorithms for the scheduling problem. Third, our parallel algorithms are portable across a wide range of parallel platforms. We report results on a set of high-level synthesis benchmarks on 8-processor SGI Challenge and a network of 4 SUN SPARCstation5 work stations. Finally, while some parallel algorithms for VLSI CAD reported by earlier researchers have reported a loss of qualities of results, our parallel algorithms produce exactly the same results as the sequential algorithms on which they are based.
机译:在本文中,我们提出了一些在高级综合领域中用于调度分层信号流图的新颖算法。本文有几个关键的贡献。首先,我们提出了一种力导向调度问题的新颖扩展,它通过提出一种调度分层信号流图的方案来自然地处理循环和条件。其次,针对调度问题,我们开发了三种新的并行算法。第三,我们的并行算法可跨多种并行平台移植。我们报告了一组有关8处理器SGI Challenge和4个SUN SPARCstation5工作站网络的高级综合基准测试结果。最后,虽然早期研究人员报道了一些针对VLSI CAD的并行算法,报告了结果质量的下降,但我们的并行算法所产生的结果与它们所基于的顺序算法完全相同。

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