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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.

Continuous-flow microfluidic biochips have attractted much attention in the EDA community due to their miniaturized size and execution efficiency. However, cache actually becomes a bottleneck of the performance of biochips. In this paper, we consider minimizing the number of caches and cache units in the high-level synthesis to effectively utilize the resources of continuous-flow microfluidic biochips. Experimental results demonstrate that the proposed algorithm can greatly reduce the number of caches and cache units.