GreenWaves’ Ultra-Low Power GAP9 IoT Apps Processor Suits Intelligence at the Edge

January 21, 2020 Rich Nass

GreenWaves Technologies, a fabless semiconductor vendor focused on ultra-low power edge-based AI processing, recently announced a new member of its GAP IoT application processor family, the GAP9. This latest member combines architectural enhancements using Global Foundries 22-nm FDX process to deliver a peak cluster memory bandwidth of 41.6 Gbytes/s and up to 50 GOPS combined compute power at an overall power consumption of 50 mW.

GAP9 lets OEMs embed machine learning and signal processing capabilities into battery-powered or energy-harvesting devices. This could include IoT sensors in smart buildings or medical wearable devices.

Building on the company’s GAP8 architecture, GAP9 adds support for floating-point arithmetic across all cores based on a transprecision floating-point unit capable of handling floating-point numbers in 8-, 16-, and 32-bit precision with support for vectorization. GAP9 also extends support for fixed-point arithmetic using vectorized 4-bit and 2-bit operations. This positions GAP9 for applications that can take advantage of deep levels of quantization.

GAP9 incorporates bi-directional multichannel, synchronized digital audio interfaces, suiting it for wearable audio products. It also incorporates both CSI-2 and parallel camera interfaces. Other enhancements include the GAP AutoTiler, allowing automatic code generation for neural network graphs and GAPFlow, a series of tools for automating the conversion of neural networks from training packages such as Google TensorFlow.

About the Author

Rich Nass

Richard Nass is the Executive Vice-President of OpenSystems Media. His key responsibilities include setting the direction for all aspects of OpenSystems Media’s Embedded and IoT product portfolios, including web sites, e-newsletters, print and digital magazines, and various other digital and print activities. He was instrumental in developing the company's on-line educational portal, Embedded University. Previously, Nass was the Brand Director for UBM’s award-winning Design News property. Prior to that, he led the content team for UBM Canon’s Medical Devices Group, as well all custom properties and events in the U.S., Europe, and Asia. Nass has been in the engineering OEM industry for more than 25 years. In prior stints, he led the Content Team at EE Times, handling the Embedded and Custom groups and the TechOnline DesignLine network of design engineering web sites. Nass holds a BSEE degree from the New Jersey Institute of Technology.

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