Presentation
AutoRE: Bayesian-Optimization-based Automatic Reliability Enhancement Tool for Flow-based Microfluidic Biochips
DescriptionAs an emerging platform for biochemical experiments, flow-based microfluidic biochips are currently suffering from malfunctions caused by manufacturing defects, thereby having low yield. While many studies have been conducted and reliability quantification models have been published, layout optimization methods are yet lacking. In this paper, we propose AutoRE, the first automatic tool to enhance reliability by optimizing layouts. AutoRE varies the layout within a certain range without changing its topology, and adopts Bayesian optimization (BO) to identify more reliable variants. Experimental results demonstrate that AutoRE can efficiently and effectively improve the reliability across all testcases by around 40% on average.
Event Type
Research Manuscript
TimeMonday, June 235:15pm - 5:30pm PDT
Location3003, Level 3
Design
DES3: Emerging Models of ComputatioN