4 citations · 4 across the 5 of their papers we have counts for
6 papers
Energy-Efficient Multimodal Inference Serving with Tri-serve
Ziyang Jia, Sara Rashidi Golrouye, Laxmi Bhuyan +5
Multimodal model inference creates substantial energy demand with growing performance requirements. Within GPUs, power is autonomously managed by an on-board power management unit…
Understanding and Mitigating Network Latency Effect on Teleoperated-Robot with Extended Reality
Ziliang Zhang, Cong Liu, Hyoseung Kim
Robot teleoperation with extended reality (XR teleoperation) enables intuitive interaction by allowing remote robots to mimic user motions with real-time 3D feedback. However, exis…
BOXR: Body and head motion Optimization framework for eXtended Reality
Ziliang Zhang, Zexin Li, Hyoseung Kim +1
The emergence of standalone XR systems has enhanced user mobility, accommodating both subtle, frequent head motions and substantial, less frequent body motions. However, the pervas…
Toward a Predictive eXtended Reality Teleoperation System with Duo-Virtual Spaces
Ziliang Zhang, Cong Liu, Hyoseung Kim
Extended Reality (XR) provides a more intuitive interaction method for teleoperating robots compared to traditional 2D controls. Recent studies have laid the groundwork for usable…
GCAPS: GPU Context-Aware Preemptive Priority-based Scheduling for Real-Time Tasks
Yidi Wang, Cong Liu, Daniel Wong +1
Scheduling real-time tasks that utilize GPUs with analyzable guarantees poses a significant challenge due to the intricate interaction between CPU and GPU resources, as well as the…
Unleashing the Power of Preemptive Priority-based Scheduling for Real-Time GPU Tasks
Yidi Wang, Cong Liu, Daniel Wong +1
Scheduling real-time tasks that utilize GPUs with analyzable guarantees poses a significant challenge due to the intricate interaction between CPU and GPU resources, as well as the…