Fast enumeration of maximal valid subgraphs for custom-instruction identification

Tao Li, Zhigang Sun, Jigang Wu, Xicheng Lu
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引用次数: 31

Abstract

Extensible processors are increasingly becoming popular as they allow for incorporating custom instructions to meet design constraints. However, identifying custom instructions under architectural input/output ports constraint is a time consuming process particularly when large applications are considered. To rapidly identify the most profitable custom instructions with large inputs and outputs, this paper proposes a novel identification algorithm for enumerating maximal convex subgraphs containing no invalid node (i.e., maximal valid subgraphs). The proposed enumerating strategy is based on divide-and-conquer with a top-down manner, rather than the bottom-up manner utilized in the state-of-the-art. The division operation only considers invalid inner nodes of the given DFG, rather than taking all the invalid nodes into account, and thus accelerates enumeration of the maximal valid subgraphs. Experimental results show that, the improvement over the latest work is more than 90% for 60% DFG instances of the acknowledged benchmarks.
用于自定义指令识别的最大有效子图的快速枚举
可扩展处理器正变得越来越流行,因为它们允许合并自定义指令以满足设计约束。然而,在体系结构输入/输出端口约束下识别自定义指令是一个耗时的过程,特别是在考虑大型应用程序时。为了快速识别具有大输入输出的最有利可图的自定义指令,本文提出了一种新的不包含无效节点的极大凸子图(即极大有效子图)的枚举识别算法。所提出的枚举策略是基于自顶向下的分而治之的方法,而不是采用最先进的自底向上的方法。除法操作只考虑给定DFG的无效内部节点,而不是考虑所有无效节点,从而加速了最大有效子图的枚举。实验结果表明,对于60%的公认基准DFG实例,比最新工作改进了90%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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