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author:

Liu, G. (Liu, G..) [1] (Scholars:刘耿耿) | Zhu, Y. (Zhu, Y..) [2] | Guo, W. (Guo, W..) [3] (Scholars:郭文忠) | Huang, X. (Huang, X..) [4]

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Scopus

Abstract:

As a new generation of flow-based microfluidics, the Fully Programmable Valve Array (FPVA) biochips have become a popular biochemical experimental platform that provide higher flexibility and programmability. Due to environmental and human factors, however, there are usually some physical faults in the manufacturing process such as channel blockage and leakage, which, undoubtedly, can affect the results of bioassays and even cause execution failure. Accordingly, we focus on the fault-tolerant design of FPVA biochips for the first time in this paper, and present three dynamic fault-tolerant techniques including a cell function conversion method, a bidirectional redundancy scheme, and a fault mapping method. By integrating these techniques into the component placement and channel routing stages, we further realize an efficient and effective fault-tolerance-oriented physical design approach for FPVA biochips, thus ensuring the robustness of chip architecture and correctness of assay outcomes. Experimental results on multiple benchmarks confirm that the proposed approach can generate fault-tolerant FPVA architectures with both high execution efficiency and low fabrication cost. © 2023 IEEE.

Keyword:

fault tolerance Fully programmable valve array microfluidics physical design physical faults

Community:

  • [ 1 ] [Liu G.]Fuzhou University, College of Computer and Data Science, Fuzhou, China
  • [ 2 ] [Zhu Y.]Fuzhou University, College of Computer and Data Science, Fuzhou, China
  • [ 3 ] [Guo W.]Fuzhou University, College of Computer and Data Science, Fuzhou, China
  • [ 4 ] [Huang X.]Northwestern Polytechnical University, School of Computer Science, Xi'an, China

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ISSN: 0738-100X

Year: 2023

Volume: 2023-July

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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