2017/05/14 by Chunfeng Liu, Liu, Chunfeng, Bing Li +9
Computer Science · Engineering · #Electrowetting and Microfluidic Technologies #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Innovative Microfluidic and Catalytic Techniques Innovation #Modular Robots and Swarm Intelligence #cs.ET
paper · pdf · doi:10.48550/arxiv.1705.04998
ACM/IEEE Design Automation Conference (DAC), June 2017
arxiv created 2017/05/14 · openalex publication_date 2017/05/14 · arxiv updated 2017/05/16 · openalex created_date 2019/06/27 · openalex updated_date 2026/07/28
Flow-based microfluidic biochips have attracted much atten- tion in the EDA community due to their miniaturized size and execution efficiency. Previous research, however, still follows the traditional computing model with a dedicated storage unit, which actually becomes a bottleneck of the performance of bio- chips. In this paper, we propose the first architectural synthe- sis framework considering distributed storage constructed tem- porarily from transportation channels to cache fluid samples. Since distributed storage can be accessed more efficiently than a dedicated storage unit and channels can switch between the roles of transportation and storage easily, biochips with this dis- tributed computing architecture can achieve a higher execution efficiency even with fewer resources. Experimental results con- firm that the execution efficiency of a bioassay can be improved by up to 28% while the number of valves in the biochip can be reduced effectively.