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author:

Ye, Zhengyang (Ye, Zhengyang.) [1] | Chen, Zhisheng (Chen, Zhisheng.) [2] | Pan, Youlin (Pan, Youlin.) [3] | Liu, Genggeng (Liu, Genggeng.) [4] (Scholars:刘耿耿) | Guo, Wenzhong (Guo, Wenzhong.) [5] (Scholars:郭文忠) | Ho, Tsung-Yi (Ho, Tsung-Yi.) [6] | Huang, Xing (Huang, Xing.) [7]

Indexed by:

CPCI-S EI Scopus

Abstract:

As continuous-flow microfluidic biochips technology rapidly advances, its automated synthesis methods require adapting to increasingly complex and stringent biochemical applications. In particular, with the introduction of time-sensitive bioassays, in this work, we present a timing-driven high-level synthesis method to optimize the resource efficiency of bioassays considering the time constraints. Specifically, we investigate the existing forms of time constraints and propose a corresponding flexible modeling approach based on reaction-control which can achieve downward compatibility for physical design. Additionally, we also analyze the impact of storage and wash on time constraints. The experimental results show that our method achieves efficient execution and low devices cost while satisfying time constraints.

Keyword:

continuous-flow microfluidic biochips high-level synthesis time constraints

Community:

  • [ 1 ] [Ye, Zhengyang]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou, Peoples R China
  • [ 2 ] [Pan, Youlin]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou, Peoples R China
  • [ 3 ] [Liu, Genggeng]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou, Peoples R China
  • [ 4 ] [Guo, Wenzhong]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou, Peoples R China
  • [ 5 ] [Ye, Zhengyang]Minist Educ, Engn Res Ctr Big Data Intelligence, Fuzhou, Peoples R China
  • [ 6 ] [Pan, Youlin]Minist Educ, Engn Res Ctr Big Data Intelligence, Fuzhou, Peoples R China
  • [ 7 ] [Liu, Genggeng]Minist Educ, Engn Res Ctr Big Data Intelligence, Fuzhou, Peoples R China
  • [ 8 ] [Guo, Wenzhong]Minist Educ, Engn Res Ctr Big Data Intelligence, Fuzhou, Peoples R China
  • [ 9 ] [Ye, Zhengyang]Fuzhou Univ, Fujian Key Lab Network Comp & Intelligent Informa, Fuzhou, Peoples R China
  • [ 10 ] [Pan, Youlin]Fuzhou Univ, Fujian Key Lab Network Comp & Intelligent Informa, Fuzhou, Peoples R China
  • [ 11 ] [Liu, Genggeng]Fuzhou Univ, Fujian Key Lab Network Comp & Intelligent Informa, Fuzhou, Peoples R China
  • [ 12 ] [Guo, Wenzhong]Fuzhou Univ, Fujian Key Lab Network Comp & Intelligent Informa, Fuzhou, Peoples R China
  • [ 13 ] [Chen, Zhisheng]Xiamen Univ, Sch Informat, Xiamen, Peoples R China
  • [ 14 ] [Ho, Tsung-Yi]Chinese Univ Hong Kong, Dept Comp Sci & Engn, Hong Kong, Peoples R China
  • [ 15 ] [Huang, Xing]Northwestern Polytech Univ, Sch Comp Sci, Xian, Peoples R China

Reprint 's Address:

  • [Liu, Genggeng]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou, Peoples R China;;[Liu, Genggeng]Minist Educ, Engn Res Ctr Big Data Intelligence, Fuzhou, Peoples R China;;[Liu, Genggeng]Fuzhou Univ, Fujian Key Lab Network Comp & Intelligent Informa, Fuzhou, Peoples R China;;

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Source :

2024 25TH INTERNATIONAL SYMPOSIUM ON QUALITY ELECTRONIC DESIGN, ISQED 2024

ISSN: 1948-3287

Year: 2024

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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