Discrete Sizing for Leakage Power Optimization in Physical Design: A Comparative Study
While sizing has been studied for over three decades, the absence of a common framework with which to compare methods has made progress difficult to measure. In this article, we compare popular sizing techniques in which gates are chosen from a discrete standard cell library and slew and interconnect effects are accounted for. The difference between sizing methods reduces from roughly 53% to 8% between best and worst case after slew propagation is taken into account. In our benchmarks, no one sizing technique consistently outperforms the others.
discrete sizing leakage power optimization algorithms performance gate sizing algorithms greedy linear programming lagrangian relaxation peephole sensitivity-based sizing