Title :
Estimating true worst currents for power grid electromigration analysis
Author :
Di-An Li ; Marek-Sadowska, Malgorzata
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California, Santa Barbara, Santa Barbara, CA, USA
Abstract :
Electromigration has become a major reliability problem in modern chips, especially in power grids. It is important to identify EM-weak wires that carry high density currents over an extended period of time. In this paper, we first indicate that the conventional current estimation approach based on the assumption that the worst case power configuration produces currents of the highest density can potentially underestimate currents carried by some power grid wires. We propose a linear programming-based algorithm that for each wire finds the worst case configuration of current sources and computes the true worst case current value. Our method considers global and local constraints among current sources and provides practical information to designers for EM reliability improvement purpose.
Keywords :
electromigration; integrated circuit reliability; linear programming; power grids; EM reliability; EM-weak wires; high density currents; linear programming-based algorithm; power grid electromigration analysis; power grid wires; true worst current estimation approach; Current density; Estimation; Linear programming; Power grids; Reliability; Sparse matrices; Wires; Electromigration; constraints; linear programming; worst case current;
Conference_Titel :
Quality Electronic Design (ISQED), 2014 15th International Symposium on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-1-4799-3945-9
DOI :
10.1109/ISQED.2014.6783396