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Technology decomposition and mapping targeting low power dissipation

Chi-Ying Tsui, Massoud Pedram, Alvin M. Despain

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Abstract

In his paper, we address the problem of minimizing the average power dissipation during the technology dependent phase of logic synthesis. Our approach consists of two steps. In the first step, we generate a Nand decomposition of an optimized Boolean network such that the sum of average switching rates for all nodes in the network is minimum. Our power-efficient decomposition procedure is optimal for dynamic CMOS circuits with uncorrelated input signals and produces very good results for static CMOS. In the second step, we perform a power efficient technology mapping that finds an optimal power delay trade-off value (subject to the unknown load problem) four given timing constraints. We obtain an average of 21% improvement in power at the expense of 12.6% increase in area and without any degradation in performance on a number of benchmarks.

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In his paper, we address the problem of minimizing the average power dissipation during the technology dependent phase of logic synthesis. Our approach consists of two steps. In the first step, we generate a Nand decomposition of an optimized Boolean network such that the sum of average switching rates for all nodes in the network is minimum. Our power-efficient decomposition procedure is optimal for dynamic CMOS circuits with uncorrelated input signals and produces very good results for static CMOS. In the second step, we perform a power efficient technology mapping that finds an optimal power delay trade-off value (subject to the unknown load problem) four given timing constraints. We obtain an average of 21% improvement in power at the expense of 12.6% increase in area and without any degradation in performance on a number of benchmarks.

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Available abstract

In his paper, we address the problem of minimizing the average power dissipation during the technology dependent phase of logic synthesis. Our approach consists of two steps. In the first step, we generate a Nand decomposition of an optimized Boolean network such that the sum of average switching rates for all nodes in the network is minimum. Our power-efficient decomposition procedure is optimal for dynamic CMOS circuits with uncorrelated input signals and produces very good results for static CMOS. In the second step, we perform a power efficient technology mapping that finds an optimal power delay trade-off value (subject to the unknown load problem) four given timing constraints. We obtain an average of 21% improvement in power at the expense of 12.6% increase in area and without any degradation in performance on a number of benchmarks.

Key concepts: Citation, Computer science, Automation, Dissipation, Decomposition, Power (physics), World Wide Web, Engineering

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