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author:

Liu, G. (Liu, G..) [1] | Ye, Z. (Ye, Z..) [2] | Zhu, Y. (Zhu, Y..) [3] | Chen, Z. (Chen, Z..) [4] | Huang, X. (Huang, X..) [5] | Xu, N. (Xu, N..) [6]

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Scopus PKU CSCD

Abstract:

In order to improve the quality and efficiency of flow-layer physical co-design in Continuous-Flow Microfluidic Biochips (CFMBs), placement and routing co-design is implemented in three stages. (1) Placement preprocessing stage: Through the logic placement and component orientation placement adjustment method, the excellent logical position and logical orientation of components are obtained. (2) Component mapping and bounding-box gap placement adjustment stage: Based on the bounding-box strategy, the placement preprocessing result is mapped into the actual physical design space, and the optimal bounding-box gap is obtained after the placement adjustment of bounding-box. (3) Shrinking placement adjustment stage: Based on the connected graph relationship among components, two original placement adjustment methods, shrinking along the flow channel and multi-graph shrinking, are proposed. The experimental results show that, compared with the existing best heuristic algorithm, the algorithm in this paper optimize the chip flow-layer integral area, the number of flow channel intersections and the total length of flow channel by 20.22%, 54.66% and 71.62%, respectively, and the speedup ratio is 177.12, which improves significantly the design quality and efficiency. © 2023 Science Press. All rights reserved.

Keyword:

Bounding-box strategy Continuous-Flow Microfluidic Biochips (CFMBs) Flow-layer physical design Logic placement Shrinking placement adjustment

Community:

  • [ 1 ] [Liu G.]College of Computer and Data Science, Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Liu G.]State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China
  • [ 3 ] [Ye Z.]College of Computer and Data Science, Fuzhou University, Fuzhou, 350116, China
  • [ 4 ] [Zhu Y.]College of Computer and Data Science, Fuzhou University, Fuzhou, 350116, China
  • [ 5 ] [Chen Z.]College of Computer and Data Science, Fuzhou University, Fuzhou, 350116, China
  • [ 6 ] [Huang X.]School of Computer Science, Northwestern Polytechnical University, Xi’an, 710072, China
  • [ 7 ] [Xu N.]Information Engineering, Wuhan University of Technology, Wuhan, 430070, China

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Source :

Journal of Electronics and Information Technology

ISSN: 1009-5896

CN: 11-4494/TN

Year: 2023

Issue: 9

Volume: 45

Page: 3401-3409

0 . 5

JCR@2023

0 . 5 0 0

JCR@2023

JCR Journal Grade:4

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 0

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