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- W2074944440 abstract "Power is increasingly becoming a design constraint for embedded systems. A processor is responsible for energy consumption on account of the software component of the embedded system. The power estimation of this component is a major concern due to the rising complexities of processors and the slow estimation tools. This work attempts to estimate the energy dissipation of the PR1900/sup 1/ processor based on instruction set model with improved accuracy. The model is integrated in a simulation framework and validated. Over 200 times speedup has been obtained with average 1.4% loss in accuracy over gate level estimation. Analysis of the energy dissipated by the instruction vis a vis the processor architecture has been carried out and a substantial reduction in the measurement effort to build the processor energy model has been achieved." @default.
- W2074944440 created "2016-06-24" @default.
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- W2074944440 date "2000-01-01" @default.
- W2074944440 modified "2023-09-23" @default.
- W2074944440 title "Speeding up power estimation of embedded software" @default.
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- W2074944440 doi "https://doi.org/10.1145/344166.344580" @default.
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