Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Cheng-Xuan Pei

View on Semantic Scholar

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Book Open access Sep 2026

Unlocking Software-defined GPU Fabric Scheduling in the LLM Era

Large language model (LLM) systems increasingly rely on techniques such as prefill-decode disaggregation, KV-cache offloading, and computation-communication overlap. These optimizations often treat GPU interconnects as best-effort substrates, overlooking contention across shared PCIe, NVLink, and RDMA fabrics. We chara...

Dan-Yang Chen, Yu-Feng Gu, Yibo Huang et al. · 1 citation
Book Open access Sep 2026

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...

Teng Mei, Cheng-Xuan Pei, Marco Canini et al. · 1 citation

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.