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We address the problem of optimizing logic-level sequential circuits for low power. We present a powerful sequential logic optimization method that is based on selectively <italic>precomputing</italic> the output logic values of the circuit one clock cycle before they are required, and using the precomputed values to reduce internal switching activity in(More)
In this paper, we propose an exact algorithm that maximizes the sharing of partial terms in multiple constant multiplication (MCM) operations. We model this problem as a Boolean network that covers all possible partial terms which may be used to generate the set of coefficients in the MCM instance. The PIs to this network are shifted versions of the MCM(More)
— Clock-gating techniques are very effective in the reduction of the switching activity in sequential logic circuits. In particular, recent work has shown that significant power reductions are possible with techniques based on finite state machine (FSM) decomposition. A serious limitation of previously proposed techniques is that they require the state(More)
In this paper, we present an adaptation of the well-known, range-free Centroid localization algorithm to deal with node mobility. This algorithm, which we call CentroidM, has the Centroid method as a stand. Positive features of the Centroid algorithm were kept while their limitations due to the dynamic characteristics of the network movement were mitigated.(More)
" Shutdown " techniques are effective in reducing the power dissipation of logic circuits. Recently, methods have been developed that identify conditions under which the output of a module in a logic circuit is not used for a given clock cycle. When these conditions are met, input latches for that module are disabled, thus eliminating any switching activity(More)
—We address the problem of estimating the average switching activity of combinational circuits under random input sequences. Switching activity is strongly affected by gate delays, and for this reason we use a variable delay model in estimating switching activity. Unlike most probabilistic methods that estimate switching activity, our method takes into(More)