DocumentCode
1891490
Title
A new voltage binning technique for yield improvement based on graph theory
Author
Shen, Ruijing ; Tan, Sheldon X -D ; Liu, Xue-Xin
Author_Institution
Dept. Electr. Eng., Univ. of California, Riverside, CA, USA
fYear
2012
fDate
19-21 March 2012
Firstpage
243
Lastpage
248
Abstract
In this paper, we propose a new voltage binning technique to improve yield. Voltage binning technique tries to assign different supply voltages to different chips in order to improve the yield. A novel valid voltage segment concept is proposed, which is determined by the timing and power constraints of chips. Then we develop a formulation to predict the maximum number of bins required under the uniform binning scheme from the distribution of length of valid supply voltage segment. With the new concept, an optimal binning scheme can be modeled as a set-cover problem. A greedy algorithm is developed to solve the set-cover problem in an incremental way. The new method is also extendable to deal with a range of working supply voltages for dynamic voltage scaling under different operation modes (like lower power and high performance modes). Experimental results on some benchmarks in 45nm technology show that the proposed method can correctly predict the upper bound on the number of bins required. The optimal binning scheme can lead to significant saving for the number of bins compared to the uniform one to achieve the same yield with very small CPU cost.
Keywords
graph theory; greedy algorithms; low-power electronics; microprocessor chips; set theory; graph theory; greedy algorithm; set-cover problem; supply voltages; voltage binning; yield improvement; Algorithm design and analysis; Optimization; Power demand; Testing; Timing; Upper bound; Voltage measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Quality Electronic Design (ISQED), 2012 13th International Symposium on
Conference_Location
Santa Clara, CA
ISSN
1948-3287
Print_ISBN
978-1-4673-1034-5
Type
conf
DOI
10.1109/ISQED.2012.6187501
Filename
6187501
Link To Document