MiniControl 2.0: Co-Synthesis of Flow and Control Layers for Microfluidic Biochips With Strictly Constrained Control Ports

被引:13
作者
Huang, Xing [1 ]
Ho, Tsung-Yi [2 ]
Li, Zepeng [3 ]
Liu, Genggeng [3 ]
Wang, Lu [4 ]
Li, Qingshan [4 ]
Guo, Wenzhong [3 ]
Li, Bing [1 ]
Schlichtmann, Ulf [1 ]
机构
[1] Tech Univ Munich, Chair Elect Design Automat, D-80333 Munich, Germany
[2] Chinese Univ Hong Kong, Dept Comp Sci & Engn, Hong Kong, Peoples R China
[3] Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350116, Peoples R China
[4] Xidian Univ, Sch Comp Sci & Technol, Xian 710126, Peoples R China
基金
中国国家自然科学基金;
关键词
Control-port constraint; control-system design; high-level synthesis; microfluidic biochips; physical design; timing synchronization;
D O I
10.1109/TCAD.2022.3157691
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Recent advances in continuous-flow microfluidics have enabled highly integrated lab-on-a-chip biochips. These chips can execute complex biochemical applications precisely and efficiently within a tiny area, but they require a large number of control ports and the corresponding control logic to generate required pressure patterns for flow control, which, consequently, offset their advantages and prevent their wide adoption. In this article, we propose the first flow-control layer co-synthesis flow called MiniControl, for continuous-flow microfluidic biochips under strict constraints for control ports, incorporating high-level synthesis, physical design, and control system design simultaneously, which has never been considered in previous work. With the maximum number of allowed control ports specified in advance, this synthesis flow aims to generate biochip architectures with high execution efficiency and the corresponding control systems with optimized timing performance. Besides, the overall cost of a biochip can be reduced and the tradeoff between a control system and execution efficiency of biochemical applications can be evaluated for the first time. The experimental results demonstrate that MiniControl leads to high execution efficiency, low platform cost, as well as excellent timing performance, while strictly satisfying the given control-port constraints.
引用
收藏
页码:5449 / 5463
页数:15
相关论文
共 37 条
[1]   Phase knowledge enables rational screens for protein crystallization [J].
Anderson, Megan J. ;
Hansen, Carl L. ;
Quake, Stephen R. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2006, 103 (45) :16746-16751
[2]  
[Anonymous], 2018, MICR MARK APPL COMP
[3]  
[Anonymous], MICROFLUIDICS DESIGN
[4]  
Chen ZS, 2019, DES AUT TEST EUROPE, P1525, DOI [10.23919/date.2019.8715269, 10.23919/DATE.2019.8715269]
[5]  
Disser Yann, 2014, Combinatorial Optimization. Third International Symposium, ISCO 2014. Revised Selected Papers. LNCS: 8596, P208, DOI 10.1007/978-3-319-09174-7_18
[6]  
Garey M. R., 1979, Computers and intractability. A guide to the theory of NP-completeness
[7]  
Gross J.L., 2005, Graph Theory and Its Applications
[8]   Maze Routing Steiner Trees With Delay Versus Wire Length Tradeoff [J].
Hentschke, Renato ;
Narasimhan, Jaganathan ;
Johann, Marcelo ;
Reis, Ricardo .
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2009, 17 (08) :1073-1086
[9]  
Hu K., 2017, Computer-aided design of microfluidic very large scale integration (mVLSI) biochips
[10]   Control-Layer Routing and Control-Pin Minimization for Flow-Based Microfluidic Biochips [J].
Hu, Kai ;
Trung Anh Dinh ;
Ho, Tsung-Yi ;
Chakrabarty, Krishnendu .
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2017, 36 (01) :55-68