Imagination pushes developers to create CNNs on GPUs
Imagination launched its first neural network accelerator, PowerVR Series2NX in September 2017. Future versions of the API and SDK library will enable developers to develop neural network applications that will be able to target Imagination’s GPU and NNA hardware without having to rewrite code.
The PowerVR CLDNN API is Imagination’s first AI-focused API. It provides functions to create network layers for constructing and running a neural network on PowerVR hardware. By using specialist OpenCL kernels, it enables developers to focus on their neural network creation with fewer overheads. The API also performs low-level hardware-specific optimizations, enabling better-optimized graphs than a custom user OpenCL implementation.
The PowerVR CLDNN SDK demonstrates how a neural network can be deployed to PowerVR hardware through the CLDNN API. It includes helper functions such as file loading, dynamic library initialisation and OpenCL content management. A reference manual is also included, as well as the source code for sample applications that demonstrate how to use the PowerVR CLDNN API.
An image has also been created that developers can flash to an Acer Chromebook R13, which contains a PowerVR GX6250 GPU via the Mediatek MT-8173 SoC. By downloading the image, developers can access everything they need to write neural network applications on the device.
For further information on the PowerVR CLDNN and to download the device image, please click here.
Imagination Technologies – www.imgtec.com
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