New upper bound of target array for reconfigurable VLSI arrays

W. Jigang, Xiaogang Han
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Abstract

Reconfiguring a VLSI array with faults is to construct a maximum logical sub-array (target array). A large target array implies a good harvest of the corresponding reconfiguration algorithm. Thus, a tight upper bound of the harvest can be directly used to evaluate the performance of the reconfiguration algorithm. This paper presents a new approach to calculate the upper bound of the harvest for the VLSI arrays with clustered faults. Simulation results show that the upper bound is reduced up to 20% on 256 × 256 array with clustered faults.
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可重构VLSI阵列目标阵列的新上界
对存在故障的超大规模集成电路阵列进行重构,就是构造一个最大逻辑子阵列(目标阵列)。一个大的目标阵列意味着相应的重构算法的良好收获。因此,可以直接使用收获的紧上界来评估重构算法的性能。本文提出了一种计算具有聚类故障的超大规模集成电路阵列的增益上界的新方法。仿真结果表明,在256 × 256的故障集群阵列上,该算法的上界降低了20%。
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