Abstract
In this paper, we propose an efficient statistical sampling technique which is suitable for estimating the total power consumption of a large VLSI system. The basic idea is to generate simulation units for each module in the system independently and then form samples of the system power by randomly selecting simulation units for each module. Hence, sampling is performed both temporally (across different clock cycles) and spatially (across different modules). A module clustering step ensures that the module types are compatible with this sampling strategy. Experimental results show a 4/spl times/ reduction in the simulation time compared to existing Monte-Carlo simulation techniques.
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