Teng Mei

MCSched: Memory-Controller-Aware Scheduling for Embodied LLM Workloads on NVIDIA Jetson

Embodied LLM systems increasingly co-locate latency-critical robotics pipelines with compute- and memory-intensive language-model inference on edge platforms such as NVIDIA Jetson. This co-location avoids cloud round trips and enables privacy-preserving, low-latency interaction, but it also creates a new source of reso...