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A fast hypergraph min-cut algorithm for circuit partitioning

机译:一种快速超图闽切换算法电路分区

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Circuit partitioning is one of the central problems in VLSI system design. The primary objective of circuit partitioning is to minimize the number of interconnections between different components of the partitioned circuit. So the circuit partitioning problem is closely related to the minimum cut problem. Recently, two very fast algorithms for computing minimum cuts in graphs were reported (Nagamochi and Ibaraki; SIAM J. Discrete Math. 5 (1 ) (1992) 54, Stoer and Wagner, J. ACM 44(4) (1997) 585). However, it is known that a circuit netlist cannot be accurately modeled by a graph, but only by a hypergraph. In this paper, we present the fastest algorithm known today for computing a minimum cut in a hypergraph which is a non-trivial extension of the result in Stoer and Wagner (J. ACM 44(4) (1997) 586). Since the netlist of a circuit can be modeled naturally as a hypergraph, this opens the opportunity for finding very-high-quality solutions for the circuit partitioning problem. Unlike most minimum cut algorithms which rely on flow computations in a network. ours is a non-flow-based algorithm.
机译:电路分区是VLSI系统设计中的核心问题之一。电路分区的主要目标是最小化分区电路的不同组件之间的互连次数。因此,电路分区问题与最小剪切问题密切相关。最近,报道了两个非常快速的用于计算图表中的最小削减的快速算法(Nagamochi和ibaraki;暹罗J.离散数学。5(1)(1992)54,Stoer和Wagner,J.CAG 44(4)(1997)585) 。然而,众所周知,电路网表不能通过图形准确地建模,而是仅通过超图来精确建模。在本文中,我们介绍了今天已知的最快算法,用于计算超微图中的最小切割,这是Stoer和Wagner的结果的非琐碎延伸(J.CAM 44(4)(1997)586)。由于电路的网表可以自然地建模为超图,因此开辟了为电路分区问题找到非常高质量的解决方案的机会。与大多数最小剪切算法不同,该算法依赖于网络中的流量计算。我们是一种基于非流量的算法。

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