SILICON VALLEY 8-11 MAY 2017

Embedded

Check out this collection of research posters to see how others in embedded systems are accelerating their work with the power of GPUs.

 
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    A High-Precision Power Model for the Tegra K1 CPU, GPU and RAM

    Kristoffer Robin Stokke Ph.D. Candidate, University of Oslo

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    A Task-based Programming Model Using Industry Standards for Embedded Hardware

    Sunita Chandrasekaran, Assistant Professor, University of Delaware

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    Real-Time Face Detection in FHD Images Exploiting both Embedded CPU and GPU

    Chanyoung Oh, Graduate Student, University of Seoul

 
 

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