“GAP9 enables a new level of capabilities for embedding combinations of sophisticated machine learning and signal processing capabilities into consumer, medical and industrial product applications,” said Loic Lietar, CEO of GreenWaves Technologies. “The GAP family provides product designers with a powerful, flexible solution for bringing the next generation of intelligent devices to market.”
GAP9 is built on the same GAP architectural attributes as GAP8. GAP9 adds support for floating-point arithmetic across all cores based on an innovative transprecision floating-point unit capable of handling floating-point numbers in 8, 16, and 32-bit precision with support for vectorization. GAP9 also extends GAP8’s support for fixed-point arithmetic with support for vectorized 4-bit and 2-bit operations. This positions GAP9 as the ideal platform for applications exploiting deep levels of quantization to deliver more energy efficiency while simplifying porting of existing floating-point signal processing libraries.
GAP9 incorporates bi-directional multichannel, synchronized digital audio interfaces making it a perfect fit for sophisticated wearable audio products. It also incorporates both CSI2 and parallel camera interfaces allowing the use of low resolution, low power camera for scene analysis and then extract a region of interest from high-resolution, higher power camera for analysis of scene details.
GAP9 handles sophisticated neural networks such as MobileNet V1 with ease processing a 160 x 160 image with a channel scaling of 0.25 in just 12ms with a power consumption of 806μW/frame/second. GAP9 provides a 20 times increase of effective memory bandwidth compared to GAP8, enabling significant improvements in detection accuracy by simultaneously analysing streams of data from multiple different sensors such as images, sounds, and radar.
GAP9 incorporates additional security features protecting device makers firmware and models while also protecting devices from tampering including hardware support for AES128/256 cryptography and a Physically Unclonable Function (PUF) unit that allows devices to be uniquely and securely identified.
All of the enhancements delivered in the GAP SDK since the introduction of GAP8 enable immediate benefit to GAP9. This includes the GAP AutoTiler, allowing automatic code generation for neural network graphs often reducing memory movement down to below 1.2 times the theoretical minimum and GAPFlow, a series of tools for automating the conversion of neural networks from training packages such as Google TensorFlow. Combined with out of the box, open-source, network implementations such as a full, Open Source Face Identification implementation, the GAPFlow toolset reduces implementation time from months to days.
GreenWaves will be showcasing GAP9 and GAP IoT Application Processor solutions at the RISC-V Summit at the San Jose Convention Center, San Jose, California from the 10th – 12th December 2019.
About GreenWaves Technologies
GreenWaves Technologies is a fabless semiconductor startup designing disruptive ultra-low power embedded solutions for image, sound, and vibration AI processing in sensing devices. GreenWaves was founded in 2014 with the mission of revolutionizing the market for intelligent sensors and devices with ultra-low energy and cost-efficient solutions. GreenWaves’ GAP8 is the industry’s first ultra-low power processor enabling battery operated artificial intelligence (AI) in Internet of Things (IoT) applications. The company is headquartered just outside Grenoble, France. To learn more, visit www.greenwaves-technologies.com.
Racepoint Global for GreenWaves Technologies
Phone: +1 (415) 694-6700