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Tag: Gflops

Consumer multimedia
Alex Voica

A consumer’s guide to graphics benchmarks

If you are like me, you probably keep track of the latest reviews for upcoming smartphones and tablets, wondering which device to buy next. Part of the review process for many new devices includes a section called benchmarks. This usually is the part that turns the comments box

APU13: Silicon? Check. HSA? Check. All done? Wrong!

This year’s AMD Developer Summit, called APU13, has been bigger and better than ever before. With an expected audience of 1000+ from around the globe, APU13 is definitely one of the must-attend conferences for developers, technology leaders, academics and startup investors. This year Tony King-Smith, EVP of marketing

Instagram-like computational photography with PowerVR SGX GPUs

Mobile phones have been visually-oriented devices since the appearance of the first camera phones, and today user-produced content has been a driving force behind everything from network utilisation to app creation. However, developers have recently begun to use sophisticated manipulation of the image data to create a wide

Samsung Exynos 5410-based platforms come packed with developer goodies

Two months ago we were excited to reveal that the Samsung Exynos 5410 processor utilizes our PowerVR SGX544 GPU. One recent example is the latest Android device from Meizu, the MX3, which was launched at the Beijing National Aquatics Center a few days ago. During the event, Meizu

PowerVR, the mobile GPU architecture for compute

As discussed in my previous blog posts and articles, Imagination’s engineering force is dedicated to efficiency. The PowerVR ‘Rogue’ architecture is our first architecture designed for compute. Of course, efficiency and common sense were liberally applied to the design process of this functionality. This approach helps us to

GPU compute – what is it and why do we care?

GPU compute is one of the hottest topics today – but what exactly is it, and why should we all care about it for mobile devices? Answering the first question is relatively easy, as the name already gives it away: GPU compute is about using the GPU for

Understanding PowerVR Series5XT: YUV colour space conversions and the 2D core

Simple 2D operations continue to be very common in embedded systems. But as modern embedded GPUs increasingly become GFLOPS monsters to handle advanced functionality such as complex 3D graphics and compute, they become increasingly less efficient at handling simple 2D data movement operations. Data handling with PowerVR’s dedicated

Running Renderscript efficiently with PowerVR GPUs on Android

Renderscript is a high performance compute API implemented in Android 4.2 (JELLY_BEAN_MR1), Google’s popular operating system for mobile and embedded devices. It allows developers to run a subset of C99 code across all available processor cores such as CPUs, GPUs or DSPs. Renderscript is particularly useful for applications

Understanding PowerVR Series5XT: PowerVR and GPU compute

In my last two articles, I’ve explained how PowerVR Series5XT GPUs are able to go beyond the basic feature set of graphics APIs like OpenGL ES and DirectX, and offer full, complete and feature-rich implementations of new and existing graphics APIs. It’s now time to focus on our

GPU compute on PowerVR with Android’s Filterscript API

Android is Google’s mobile and embedded operating system that targets every consumer electronics product from smartphones and tablets to handheld gaming consoles or smart TVs and wall ovens. Yes, you’ve read correctly – an oven capable of running OpenGL ES apps. But graphics APIs aside, the latest version

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