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Technologies

The listing below showcases the most recently published Embedded Vision Academy content associated with various embedded vision technologies. Reference the links on the right side of this page to access the full suite of technology-tailored embedded vision content, sorted by technology.

Algorithms

This article extends the mixed-radix FFT OpenCL implementation to two dimensions and explains optimizations for Mobile ARM Mali GPUs.

Academy

This article analyzes the three main computation blocks of the FFT mixed-radix in a step-by-step approach, in both theory and implementation

Academy
Processors

This article extends the mixed-radix FFT OpenCL implementation to two dimensions and explains optimizations for Mobile ARM Mali GPUs.

Academy

This article analyzes the three main computation blocks of the FFT mixed-radix in a step-by-step approach, in both theory and implementation

Academy
Sensors

Stefan Heck of Nauto delivers a presentation at the December 2015 Embedded Vision Alliance Member Meeting.

Academy

Professor Roberto Manduchi of U.C. Santa Cruz delivers a presentation at the December 2015 Embedded Vision Alliance Member Meeting.

Academy
Software

This article extends the mixed-radix FFT OpenCL implementation to two dimensions and explains optimizations for Mobile ARM Mali GPUs.

Academy

This article analyzes the three main computation blocks of the FFT mixed-radix in a step-by-step approach, in both theory and implementation

Academy
Tools

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

Academy

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

Academy