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Algorithms

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

Academy

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

Academy

Song Han of Stanford delivers a presentation at the March 2016 Embedded Vision Alliance Member Meeting.

Academy

Marcus Hammond of Kespry delivers a presentation at the March 2016 Embedded Vision Alliance Member Meeting.

Academy

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

Academy

This Tractica white paper covers the market for computer vision and deep learning technologies, providing real world use cases.

Academy

Wenyi Zhao of DAQRI delivers a presentation at the March 2016 Embedded Vision Alliance Member Meeting.

Academy

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

Academy

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

Academy

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

Academy