algorithmic transforms for efficient energy scalable computation
We introduce the notion of energy scalable computation on general purpose processors. The principle idea is to maximize computational qualityfor a given energy constraint. Teh 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.
algorithm transformation efficiency energy scalability computation general processor constraint behavior signal processing filtering classification quality