Sung-Pill Choi, who is a doctoral student studying under Professor Hoi-Jun Yoo, earned the Best Paper Award at AICAS 2019 (IEEE International Conference on Artificial Intelligence Circuits and Systems). The paper was entitled, “CNNP-v2: An ‘Energy Efficient Memory-Centric Convolutional Neural Network Processor Architecture’”, and it was authored by Sung-Pill Choi, Kyeong-Ryeol Bong, Dong-Hyeon Han, and Hoi-Jun Yoo.
Through utilizing a memory-centric architecture, rather than the traditional operator-centric CNN architecture, the researchers have achieved 91.5% MAC unit utilization in high parallel (1024-way) processing, and high energy efficiency of 3.1 TOPS/W through a near-threshold operation of 0.46V. They have developed a chip that can process a real-time face recognition system with IoT or wearable devices at 9.4mW of electricity, which is the highest level in the world.
Congratulations to Sung-Pill Choi and Professor Hoi-Jun Yoo!