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Imagination offers a neural processor for autopilot systems
13.eleven.2021 [09:46],
Alexey Razin

The British company Imagination Technologies keeps its finger on the pulse of technological progress, offering advanced developments not only in the mobile segment, but also in the sector of artificial intelligence systems for automating transport control. New Imagination Neural Processor Family May Outperform Competitive Solutions in Performance.

Image source: Imagination Technologies

The IMG Series4 neural processor family, according to UK developers, combines a high degree of scalability with outstanding energy efficiency. For example, the specific performance per core is 12.5 trillion operations per second (TOPS) at a power consumption level of less than 1 W. Eight-core block delivers up to 100 TOPS throughput, while a six-block cluster delivers 600 TOPS throughput. IMG Series4 neural processors can be produced using 7nm technology, their peak clock frequency reaches 1.5 GHz.

In comparison, the leading NVIDIA Orin processor DRIVE AGX Xavier family offers 30 TOPS performance, and to achieve 320 TOPS in one system, you need to combine not only two such processors, but also two discrete GPUs with Turing architecture. In practice, it is often necessary to use liquid systems to cool such combinations.

For Imagination clients, the toolkit required to create processors based on IMG Series4 will be available from December this year. Two, four, six or eight cores can be combined in one block. The layout of this neural processor reduces response times in proportion to the number of cores. Thus, the response time of an eight-core combination is shorter than that of a dual-core.

Special technology of data segmentation and local caching can reduce the bandwidth requirements of the external interface by up to ten times. Imagination processors in this series are compliant with the ISO 26262 industry standard for safety and reliability. According to the developers, the new processors work with neural networks 1000 times faster than central processing units for embedded technology, and compared to GPUs of this class, the advantage reaches a hundred times. The debut of its profile solution at Imagination is considered timely, citing an increase in demand for active driver assistance systems by three times by 2027, predicted by ABI Research.

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