Luo Zuying, Zhang Yubin, Yu Xianchuan. A Single Open-Defect Analysis Method for Power/Ground Networks[J]. Journal of Computer Research and Development, 2009, 46(7): 1234-1240.
Citation:
Luo Zuying, Zhang Yubin, Yu Xianchuan. A Single Open-Defect Analysis Method for Power/Ground Networks[J]. Journal of Computer Research and Development, 2009, 46(7): 1234-1240.
Luo Zuying, Zhang Yubin, Yu Xianchuan. A Single Open-Defect Analysis Method for Power/Ground Networks[J]. Journal of Computer Research and Development, 2009, 46(7): 1234-1240.
Citation:
Luo Zuying, Zhang Yubin, Yu Xianchuan. A Single Open-Defect Analysis Method for Power/Ground Networks[J]. Journal of Computer Research and Development, 2009, 46(7): 1234-1240.
1(College of Information Science and Technology, Beijing Normal University, Beijing 100875) 2(Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong)
With IC technology scaling down into nanometer regime, voltage disturbances severely influence the performance of VLSI circuits. Both via mismatches in manufacture and electro-migrations of Cu interconnect wires in working ICs may provide many candidates for open defects in power/ground networks, which in turn significantly impacts voltage disturbances. In order to quickly test these open defects, it is imperative to efficiently analyze the defects’ influences on P/G networks. Therefore, a single defect successive over-relaxation algorithm (SD-SOR) is firstly proposed in this paper to fast analyze nodal voltage drop distributions of P/G networks resulted from single open defect. Based on the voltage distribution of a defect-free P/G network, SD-SOR only needs to relax on a few nodes that surround the defect and thus suffer visible influences from the defect. Compared with the traditional global SOR method that orderly relaxes all nodes, SD-SOR shows the following advantages. The first advantage is locality. For each open defect, SD-SOR relaxes from the nodes connected with the defect to those surrounding nodes as wave transmission, while the wave stops at the nodes whose IR droop variation is less than a pre-assigned threshold. The second one is efficiency. SD-SOR not only relaxes a small part of the nodes in P/G networks but also needs much less relaxation iterations. The third one is high accuracy. Because most nodes are far away from the defect and suffer invisible influences, SD-SOR can obtain high enough accuracy through relaxing only a few surrounding nodes. Experimental ressults show that the proposed SD-SOR method is 57 times faster than the pre-conditional global SOR method with a maximum error of 0.95%.