Category: Mobile


Thanks to increases in screen resolutions and ever more complex render pipelines, games and other apps are becoming more and more bandwidth intensive, requiring larger amounts of data to be copied to-and-from memory. Devices are now commonly expected to drive 2K screen resolutions without a hitch; high-end games can have huge geometric complexity, and rendering pipelines typically involve multiple intermediate … Continued

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While these days most of us with a smartphone might take gaming on mobile for granted many of us with older memories will recall that it’s actually a relatively recent development. In the days of basic Nokia phones, the likes of Snake ruled the roost (is that a mixed metaphor?). In fact, it’s now viewed as a cool ‘retro’ game. … Continued

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Last year, Imagination announced Furian, our newest graphics architecture and the first major update for PowerVR since 2012. This introduction marks a significant step in satisfying the ever increasing demands for more device performance, especially for new use cases such as AR, VR and AI, while keeping PowerVR at the top of the pile for power efficiency and performance in embedded … Continued

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In previous blog posts, we have demonstrated using neural networks to do things such as object recognition and digit recognition. In this post, we will demonstrate a more practical example of vision, AI and machine learning running on PowerVR GPUs. This demo is showing how we can utilise the processing power of hardware such as the GPU to take input … Continued

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Imagination is known for its chip IP for mobile devices such as smartphones and tablets and has has a strong reputation as a market leader with regards to performance, power and area. Complementing this, Imagination also has IP related to ray tracing, a technique considered to be the ‘holy grail’ for computer graphics enabling the development of ultra-realistic lighting in … Continued

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This week at the Embedded Vision Summit in California we are showcasing our latest Convolutional Neural Network (CNN) object recognition demo. Since launching the original demo at last year’s EVS, the demo has been expanded to include multiple network models and is now implemented using Imagination’s own graph compilation library – IMG DNN. What are CNNs? Before continuing, a quick … Continued

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In December last year, Imagination announced we were the first to submit an OpenVX 1.1 conformant implementation. In this blog post, we will show how our work has developed since then on one of the first implementations of the Khronos OpenVX 1.1 API as well as the new and very first implementation of the Convolutional Neural Network (CNN) extension that … Continued

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