5 papers
DORA: Dataflow-Instruction Orchestration Architecture for DNN Acceleration
Xingzhen Chen, Zhuoping Yang, Jinming Zhuang +5
As deep neural networks develop significantly more diverse and complex, achieving high performance and efficiency on complicated DNN models faces pressing challenges. Modern DNN wo…
FILCO: Flexible Composing Architecture with Real-Time Reconfigurability for DNN Acceleration
Xingzhen Chen, Jinming Zhuang, Zhuoping Yang +5
With the development of deep neural network (DNN) enabled applications, achieving high hardware resource efficiency on diverse workloads is non-trivial in heterogeneous computing p…
Enhancing Predictability of Multi-Tenant DNN Inference for Autonomous Vehicles' Perception
Liangkai Liu, Kang G. Shin, Jinkyu Lee +2
Autonomous vehicles (AVs) rely on sensors and deep neural networks (DNNs) to perceive their surrounding environment and make maneuver decisions in real time. However, achieving rea…
Power-Efficient Autonomous Mobile Robots
Liangkai Liu, Weisong Shi, Kang G. Shin
This paper presents pNav, a novel power-management system that significantly enhances the power/energy-efficiency of Autonomous Mobile Robots (AMRs) by jointly optimizing their phy…
AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge
Chao Wu, Yifan Gong, Liangkai Liu +7
Object detection on the edge (Edge-OD) is in growing demand thanks to its ever-broad application prospects. However, the development of this field is rigorously restricted by the d…