17 citations · 19 across the 4 of their papers we have counts for
4 papers
DARIS: An Oversubscribed Spatio-Temporal Scheduler for Real-Time DNN Inference on GPUs
Amir Fakhim Babaei, Thidapat Chantem
The widespread use of Deep Neural Networks (DNNs) is limited by high computational demands, especially in constrained environments. GPUs, though effective accelerators, often face…
SGPRS: Seamless GPU Partitioning Real-Time Scheduler for Periodic Deep Learning Workloads
Amir Fakhim Babaei, Thidapat Chantem
Deep Neural Networks (DNNs) are useful in many applications, including transportation, healthcare, and speech recognition. Despite various efforts to improve accuracy, few works ha…
Survey of Control-Flow Integrity Techniques for Embedded and Real-Time Embedded Systems
Tanmaya Mishra, Thidapat Chantem, Ryan Gerdes
Computing systems, including real-time embedded systems, are becoming increasingly connected to allow for more advanced and safer operation. Such embedded systems are resource-cons…
Secure Traffic Lights: Replay Attack Detection for Model-based Smart Traffic Controllers
Pratham Oza, Mahsa Foruhandeh, Ryan Gerdes +1
Rapid urbanization calls for smart traffic management solutions that incorporate sensors, distributed traffic controllers and V2X communication technologies to provide fine-grained…