GreenWaves Technologies, a fabless semiconductor startup based in Grenoble, France, has designed GAP8 IoT application processor based on RISC-V architecture, and optimized for image and audio algorithms including convolutional neural network (CNN) inference with high energy efficiency thanks to an 8-core computational cluster combined with a convolution hardware accelerator. The design is based on RISC-V based Parallel Ultra Low Power (PULP) computing open-source platform. The new processor targets industrial and consumer products integrating artificial intelligence, and advanced classification such as image recognition, counting people and objects, machine health monitoring, home security, speech recognition, consumer robotics, wearables and smart toys. Some of GAP8 processor specifications: 1x extended RISC-V fabric controller core with 16 kB data and 4 kB instruction cache for system control 8x extended RISC-V compute cores with 64 kB shared data memory and 16 kB shared instruction cache 1x Hardware optimized synchronization unit 1x Hardware Convolution Engine (HWCE) Multi […]
GreenWaves GAP8 is a Low Power RISC-V IoT Processor Optimized for Artificial Intelligence Applications
