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SCHEDULE: NOV 16-22, 2013

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SESSION: Computer Vision Tasks on the Texas Instruments C6678 Digital Signal Processor

EVENT TYPE: Emerging Technologies

TIME: 4:50PM - 5:10PM

Presenter(s):Jason D. Bakos

ROOM:Booth 3947

The Texas Instruments C66 digital signal processor combines capabilities from both HPC coprocessors (such as GPUs and the Intel Phi) and embedded system-on-chip processors. Specifically, it offers an equal or better Gflops per Watt ratio than GPUs, has substantially higher raw floating point capability than embedded processors, contains a substantial set of on-chip high-speed communication interfaces, and is capable of hosting its own operating system. In this talk we describe our evaluation of the C66 with respect to its ability to perform real-time computer vision tasks on high resolution data. For this purpose we developed a hand-tuned Lucas-Kanade optical flow kernel and used it to perform object detection and tracking on HD video. Our kernel achieves a higher overall throughput than previous efforts and can be integrated into a power efficient video capture and display system. We also describe the design of this system and its end-to-end performance.

Chair/Presenter Details:

Jason D. Bakos - University of South Carolina

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