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[1]: ‘State-of-the-art in heterogeneous computing’. Andre R. Brodtkorb, Christopher Dyken, Trond R. Hagen, Jon M. Hjelmervik and Olaf O. Storaasli. Scientific Programming 18 (2010) 1–33

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Depending on the application, FPGAs can use approximately 1/20th the power of a microprocessor to do the same task and 1/3 the power of a GPU for the same computing horsepower.[1]

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Arrayware applies FPGAs to achieve significant power reduction resulting in longer battery life.

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Running temperature can also be reduced which can assist with reliability. It also can lead to smaller, lighter housings and heatsinks.

Reduced Power Consumption

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