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The Embedded Vision Summit was held on May 2-4, 2016 in Santa Clara, California, as a educational forum for product creators.

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This chapter describes describes some general concepts to consider when optimizing kernels.

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This chapter describes describes some useful optimization methods, the logic for them, and the results they provide on the test platform.

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This chapter describes some initial (as well as the simplest and most intuitive) implementations of convolution algorithms.

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Convolution operations are important in image processing, particularly in filtering. GPU compute can improve performance significantly.

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OpenVX enables embedded vision application software developers to efficiently harness the processing resources available in SoCs and systems

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Yangqing Jia, Research Scientist at Facebook, delivers a presentation at the Alliance's February 2016 tutorial on deep learning using Caffe.

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Neil Trevett of Khronos and NVIDIA delivers a presentation at the December 2015 Embedded Vision Alliance Member Meeting.

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Middleware libraries together with SDAccel enable software developers to program DNNs in their native C/C++ environment.

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The OpenCL framework enables the development of programs that execute across programmable logic fabric and other heterogeneous processors.

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