2016
DOI: 10.1587/elex.13.20160359
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An integer programming method for constructing tightly coupled VLSI subarrays

Abstract: Minimizing the interconnection length between the processing elements (PEs) of VLSI arrays is beneficial to reduce the capacitance, power dissipation and dynamic communication cost. In this paper, a novel method, based on integer programming, for constructing tightly-coupled subarrays from the degradable VLSI arrays is presented, such that the target array has the minimum interconnection length. Compared with the state-of-the-art algorithms, the proposed method can guarantee that the interconnection length of … Show more

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Cited by 3 publications
(2 citation statements)
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“…An efficient algorithm based on the A‐star algorithm for accelerating the reconfiguration of power‐efficient VLSI processor subarrays that meet the real‐time constraints and lower power consumption of the embedded systems was proposed in Ref. . Then an algorithm (denoted as Csat in this paper) based on satisfiability was proposed in Ref.…”
Section: Introductionmentioning
confidence: 99%
“…An efficient algorithm based on the A‐star algorithm for accelerating the reconfiguration of power‐efficient VLSI processor subarrays that meet the real‐time constraints and lower power consumption of the embedded systems was proposed in Ref. . Then an algorithm (denoted as Csat in this paper) based on satisfiability was proposed in Ref.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, a divide-and-conquer algorithm (denoted as CMTA in this paper) was proposed for a tightly-coupled MTA in [12], resulting in significant improvements over DPGCR in terms of the total inter-length. Qian et al [13] proposed a method based on integer programming for constructing tightly-coupled subarrays. However, neither DPGCR nor CMTA guarantees the resultant logical mesh array on the number of the long-interconnects is optimal.…”
Section: Introductionmentioning
confidence: 99%