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author:

Zou, P. (Zou, P..) [1] | Chen, G. (Chen, G..) [2] | Lin, Z. (Lin, Z..) [3] (Scholars:林智锋) | Yu, J. (Yu, J..) [4] | Chen, J. (Chen, J..) [5]

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Scopus

Abstract:

Modern circuits often contain standard cells of different threshold voltages (multi-VTs) to achieve a better trade-off between timing and power consumption. Due to the heterogeneous cell structures, the multi-VTs cells impose various implant layer constraints, further complicating the already time-consuming filler cell insertion process. In this paper, we present a fast and near-optimal algorithm to solve the filler insertion problem with complex implant layer rules and minimum filler width constraints. We first propose an inference-driven detecting algorithm to identify each design rule violation accurately. Then, a dynamic-programming-based insertion method is developed to reduce the implant layer violations. Finally, we design a contour-driven violation refinement strategy to further improve manufacturability. Experimental results show that our algorithm can reduce the number of violations significantly compared with state-of-the-art works. Besides, with our identifier in the legalization stage, we can avoid conflicts in advance and solve almost all violations after filler insertion in industrial cases. © 2023 IEEE.

Keyword:

dynamic programming filler insertion implant layer constraints rule generation

Community:

  • [ 1 ] [Zou P.]Fudan University, State Key Lab of ASIC & System, Shanghai, China
  • [ 2 ] [Chen G.]Fudan University, State Key Lab of ASIC & System, Shanghai, China
  • [ 3 ] [Lin Z.]Fuzhou University, Center for Discrete Mathematics and Theoretical Computer Science, Fuzhou, China
  • [ 4 ] [Yu J.]Fudan University, State Key Lab of ASIC & System, Shanghai, China
  • [ 5 ] [Chen J.]Fudan University, State Key Lab of ASIC & System, Shanghai, China

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ISSN: 0738-100X

Year: 2023

Volume: 2023-July

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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