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12 March 2018

Imagination Technologies Announces Neural Network SDKPowerVR CLDNN API makes it easy for developers to create CNNs on GPUs

March 12th, 2018Imagination Technologies announces the first PowerVR CLDNN SDK for developing neural network applications on PowerVR GPUs. The neural network SDK makes it easy for developers to create Convolutional Neural Networks (CNNs) using PowerVR hardware. Both an API and SDK are included, as well as an image for flashing on to an Acer Chromebook R13 for hardware development.

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.

Robert Quill, software engineering manager, Imagination Technologies, says: “With neural networks becoming widely deployed, the importance of developers being able to test and deploy accelerated neural networks on our graphics hardware is vital. Automotive OEMs are moving towards ADAS and autonomous driving, smartphone users are looking for technologies such as facial recognition, while smart home technologies adopters are looking to enhance security and UX by recognising objects and people. All of these advances point to the need for neural network acceleration.”

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 optimisations, enabling better-optimised 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. A demonstration of the PowerVR CLDNN can be found here.

The original of this article