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• W2096130025 abstract "The capabilities of mobile devices have been increasing at a momentous rate. As better processors have merged with capable cameras in mobile systems, the number of computer vision applications has grown rapidly. However, the computational and energy constraints of mobile devices have forced computer vision application developers to sacrifice accuracy for the sake of meeting timing demands. To increase the computational performance of mobile systems we present EVA. EVA is an application-specific heterogeneous multi-core having a mix of computationally powerful cores with energy efficient cores. Each core of EVA has computation and memory architectural enhancements tailored to the application traits of vision codes. Using a computer vision benchmarking suite, we evaluate the efficiency and performance of a wide range of EVA designs. We show that EVA can provide speedups of over 9x that of an embedded processor while reducing energy demands by as much as 3x." @default.
• W2096130025 created "2016-06-24" @default.
• W2096130025 creator A5042646536 @default.
• W2096130025 creator A5056041756 @default.
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• W2096130025 date "2013-09-29" @default.
• W2096130025 modified "2023-09-23" @default.
• W2096130025 title "EVA: an efficient vision architecture for mobile systems" @default.
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• W2096130025 doi "https://doi.org/10.5555/2555729.2555742" @default.
• W2096130025 hasPublicationYear "2013" @default.
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