Shmuel Wimer, Israel Koren, et al.
IEEE Transactions on Circuits and Systems
The yield of a VLSI chip depends, among other factors, on the sensitivity of the chip to defects occurring during the fabrication process. To predict this sensitivity, one usually needs to compute the so-called critical area (Ac) which reflects how many and how large the defects must be in order to result in a circuit failure. The main computational problem in yield estimation is to calculate Ac efficiently for complicated, irregular layouts. A novel approach is suggested for this problem that results in an algorithm to solve it efficiently. This algorithm is compared to other yield-prediction methods, which use either the Monte-Carlo approach (VLASIC) or a deterministic approach (SCA), and is shown to be faster. It also has the advantage that it can graphically show a detailed 'defect sensitivity map' that can assist a physical designer in improving the yield of his/her layout.
Shmuel Wimer, Israel Koren, et al.
IEEE Transactions on Circuits and Systems
Vladimir Yanovski, Israel A. Wagner, et al.
Ann. Math. Artif. Intell.
Arkadiy Morgenshtein, Alexander Fish, et al.
IEEE Transactions on VLSI Systems
Michael Moreinis, Arkadiy Morgenshtein, et al.
ICECS 2004