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Algorithmic transforms for efficient energy scalable computation

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3 Author(s)
Sinha, A. ; Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA ; Wang, A. ; Chandrakasan, A.P.

We introduce the notion of energy scalable computation on general purpose processors. The principle idea is to maximize computational quality for a given energy constraint. The desirable energy-quality behavior of algorithms is discussed. Subsequently the energy-quality scalability of three distinct categories of commonly used signal processing algorithms (viz. filtering, frequency domain transforms and classification) are analyzed on the StrongARM SA-1100 processor and transformations are described which obtain significant improvements in the energy-quality scalability of the algorithm.

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Low Power Electronics and Design, 2000. ISLPED '00. Proceedings of the 2000 International Symposium on

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