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Neural network cores target the edge

Neural network cores target the edge

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By Rich Pell



The cores are based on Imagination’s neural network accelerator (NNA) architecture, PowerVR Series2NX, which enables ‘smartness’ to move from the cloud into edge devices, enabling greater efficiency and real-time responsiveness.

The Series2NX AX2185 targets the high-end smartphone, smart surveillance, and automotive markets, where neural network acceleration has a significant impact in areas such as image categorization and driver assistance systems. Featuring eight full-width compute engines the AX2185 provides 2,048 MACs/clock (4.1 Tera Operations per Second), representing the highest performance per mm2 in the market, according to Imagination.

Optimised for cost-sensitive devices, the AX2145 targets mid-range smartphone, DTV/set-top box, smart camera and consumer security markets, which are increasingly adopting neural network acceleration for various tasks such as image management and vision-based applications. The PowerVR AX2145 streamlined architecture delivers performance-efficient neural network inferencing for ultra-low bandwidth systems, making it a cost-effective solution for OEMs and ODMs working with limited silicon area budgets.

Both cores fully support the Android Neural Networks API (NNAPI), used by developers to bring neural network capabilities to Android-based mobile devices.

The PowerVR Series2NX architecture was designed from the ground-up to provide hardware acceleration for efficient neural network inference in mobile and embedded platforms. Its flexible bit-depth support (16-bit to 4-bit) on a per-layer basis for weights and data means PowerVR Series2NX can maintain high inference accuracy while reducing bandwidth/power requirements.

To accompany the PowerVR Series2NX cores, Imagination provides a comprehensive set of tools to streamline AI application development and deployment and, debugging and analysis. Machine learning frameworks are supported using our Network Developer Kit (NDK).

Imagination Technologies – www.imgtec.com

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