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A GA-Based Method for High-Quality X-Filling to Reduce Launch Switching Activity in At-speed Scan Testing

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5 Author(s)
Yuta Yamato ; Kyushu Inst. of Technol., Iizuka, Japan ; Xiaoqing Wen ; Kohei Miyase ; Hiroshi Furukawa
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Power-aware X-filling is a preferable approach to avoiding IR-drop-induced yield loss in at-speed scan testing. However, the quality of previous X-filling methods for reducing launch switching activity may be unsatisfactory, due to low effect (insufficient and global-only reduction) and/or low scalability (long CPU time). This paper addresses this quality problem with a novel, GA (Genetic Algorithm) based X-filling method, called GA-fill. Its goals are (1) to achieve both effectiveness and scalability in a more balanced manner, and (2) to make the reduction effect of launch switching activity more concentrated on critical areas that have higher impact on IR-drop-induced yield loss.Evaluation experiments are being conducted on benchmark and industrial circuits, and initial results have demonstrated the usefulness of GA-fill.

Published in:

Dependable Computing, 2009. PRDC '09. 15th IEEE Pacific Rim International Symposium on

Date of Conference:

16-18 Nov. 2009