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Abstract:
Flow-channel-intersection optimization is one of the important goals in physical design, which affects the design complexity of the flow layer and the control layer. To this end, an effective high-level synthesis based on particle swarm optimization is proposed for continuous-flow microfluidic biochips in this paper. This method considers both the completion time of the bioassay and the number of flow-channel intersections in the high-level synthesis for the first time. The proposed method estimates the completion time of the bioassay and the number of flow-channel intersections by list scheduling and the connection relationship between components. Through effective iterative updating, a high-quality high-level synthesis considering flow-channel-intersection optimization is obtained. © 2021 IEEE.
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Year: 2021
Language: English
Cited Count:
SCOPUS Cited Count: 1
ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 3
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