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Parallel Partitioning Techniques for Logic Minimization Using Redundancy Identification

机译:使用冗余识别的逻辑最小化的并行分区技术

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Redundancy identification is a challenging open problem in logic optimization of Boolean circuits. Partitioning techniques are em-ployed successfully to solve the redundancy identification problem with less time and higher scalability. Any heuristic/algorithm for the Logic optimization problem, and hence the redundancy identification problem is compute-intensive, especially when very high approximation to the optimal solution is demanded. This is because the problems are NP-complete. This necessitates parallel heuristics/algorithms to speed-up the computation process. In this paper, we present a parallel partition-ing approach for the logic optimization problem using the concept of redundancy identification. This result finds extensive applications in the area of VLSI CAD tool design.
机译:冗余识别是布尔电路逻辑优化中的一个具有挑战性的开放问题。分区技术成功地解决了冗余识别问题,以较少的时间和更高的可扩展性。任何启发式/算法,逻辑优化问题,因此冗余识别问题是计算密集型的,特别是当需要对最佳解决方案的高近似值时。这是因为问题是np-complete。这需要并行启发式/算法来加速计算过程。在本文中,我们使用冗余识别概念来介绍逻辑优化问题的并行分区方法。该结果在VLSI CAD工具设计领域找到了广泛的应用。

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