Title :
Early-stage power grid analysis for uncertain working modes
Author :
Qian, Haifeng ; Nassif, Sani R. ; Sapatnekar, Sachin S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA
fDate :
5/1/2005 12:00:00 AM
Abstract :
High-performance integrated circuits are now reaching the 100-plus watt regime, and power delivery and power grid signal integrity have become critical. Analyzing the performance of the power delivery system requires knowledge of the current drawn by the functional blocks that comprise a typical hierarchical design. However, current designs are of such complexity that it is difficult for a designer to determine what a realistic worst-case switching pattern for the various blocks would be in order to maximize noise at a specific location. This paper uses information about the power dissipation of a chip to derive an upper bound on the worst-case voltage drop at an early stage of design. An exact integer linear programming (ILP) method is first developed, followed by an effective heuristic to speed up the exact method. A circuit of 43 K nodes is analyzed within 70 s, and the worst-case scenarios found correlate well with the results from an ILP solver.
Keywords :
circuit complexity; circuit noise; integer programming; linear programming; network analysis; power supply circuits; early-stage power grid analysis; early-stage simulation; high-performance integrated circuits; integer linear programming; power delivery system; power dissipation; power grid signal integrity; random walk; realistic worst-case switching pattern; supply network; uncertain working modes; worst-case voltage drop; Circuits; Information analysis; Mesh generation; Noise reduction; Performance analysis; Power dissipation; Power generation; Power grids; Semiconductor device noise; Voltage; Early-stage simulation; power grid; random walk; supply network;
Journal_Title :
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
DOI :
10.1109/TCAD.2005.846370