基于lut的FPGA技术映射中Roth-Karp分解中的Lambda集选择

W. Shen, Juinn-Dar Huang, Shih-Min Chao
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引用次数: 34

摘要

Roth-Karp分解是一种经典的分解方法。由于它可以减少函数输入变量的数量,因此成为基于lut的FPGA技术映射中最常用的技术之一。然而,在Roth-Karp分解中影响分解质量的λ集选择问题,在此之前还没有得到正式的解决。在本文中,我们提出了一种新的启发式算法来解决这个问题。实验结果表明,在不使用lambda集选择策略的情况下,我们的算法可以有效地产生比其他算法更好的分解质量输出。
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Lambda Set Selection in Roth-Karp Decomposition for LUT-Based FPGA Technology Mapping
Roth-Karp decomposition is a classical decomposition method. Because it can reduce the number of input variables of a function, it becomes one of the most popular techniques used in LUT-based FPGA technology mapping. However, the lambda set selection problem, which can dramatically affect the decomposition quality in Roth-Karp decomposition, has not been formally addressed before. In this paper, we propose a new heuristic-based algorithm to solve this problem. The experimental results show that our algorithm can efficiently produce outputs with better decomposition quality than that produced by other algorithms without using lambda set selection strategy.
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