Tag: powervr imaging framework


The year is 2032. Former LAPD sergeant John Spartan wakes up after three decades in deep freeze sleep to find everything has changed, including driving. Almost all the cars in the 1993 movie Demolition Man were self-driving, but of course they were concept cars. Today, more than ten leading car makers (including Audi, BMW, GM, Tesla Motors, Volkswagen, and Volvo) … Continued

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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 of memory between a PowerVR GPU and other system components such as a CPU, ISP and VDE. Most flows use EGL to facilitate the sharing of objects between multiple client APIs, requiring the Khronos extension … Continued

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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 developers can access the source code for an example camera and video post-processing application that leverages the PowerVR Imaging Framework to implement efficient zero-copy flows for a range of image processing kernels. To download the … Continued

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In my previous article about heterogeneous architectures, I identified memory bandwidth as the main bottleneck for implementing power-efficient algorithms for computer vision. Luckily, Imagination has created an innovative solution designed to address this common issue in mobile and embedded devices – and it comes in the form of the PowerVR Imaging Framework. Introducing the PowerVR Imaging Framework The PowerVR Imaging … Continued

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This article and a follow-up to be published next month introduce OpenCL programming for the PowerVR Rogue architecture. Firstly, I’d like to give you an overview of OpenCL programming fundamentals using a basic program, followed by an explanation of OpenCL execution on Rogue GPUs. This provides the background to understand the programming guidelines for the Rogue architecture which are illustrated … Continued

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