Imagination Blog

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Tag: GPU Compute

Consumer Electronics
Kristof Beets

Imagination’s smart, efficient approach to mobile compute

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

Consumer Electronics
Salvatore

Measuring GPU compute performance

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,

Debugging OpenCL programs with Oclgrind

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

Consumer Electronics
Salvatore

The PowerVR Imaging Framework camera demo

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

Consumer Electronics
Alex Kelley

Deep dive: OpenCL face detection on PowerVR [part 3]

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

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This post is another summary from our PowerVR Performance Recommendations focused on eliminating performance bottlenecks by balancing different GPU workloads.

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