If you’re tired of all the noise around the U.S. election the initials CNN are probably not what you want to be seeing right now.
Tag: GPU Compute
It was clear last week at the annual Embedded Vision Summit in Santa Clara that the time of computer vision and deep learning on mobile
Vulkan™ started more than a year ago as a cross-industry effort to develop an explicit API designed to work optimally on today’s leading-edge hardware. The
Imagination designed its PowerVR Tile-Based Deferred Rendering (TBDR) graphics architecture more than 20 years ago with a focus on efficiency across performance, power consumption and
After exploring a quick guide to writing OpenCL kernels for PowerVR Rogue GPUs and analyzing a heterogeneous compute case study focused on image convolution filtering,
In a previous article we described our PowerVR Imaging Framework, a set of extensions to the OpenCL and EGL APIs that enable efficient zero-copy sharing
James Price is currently completing a PhD degree at the Department of Computer Science, University of Bristol. When developing programs that utilise GPU compute via
Writing and optimizing code for heterogeneous computing can be difficult, especially if you are starting from scratch. Imagination has set up a new page where
Imagination’s R&D group has developed a face detection algorithm, which is based on a classifier cascade and is optimized to run on mobile devices comprising
Computer vision is the use of computers to extract useful meaning from images, such as those that arise from photographs, video and real-time camera feeds.
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