3 papers
cs.AR2026
PLoRA: An NDP-Enhanced Pooled-Memory System for Cost-Efficient Multi-LoRA Serving
Zhongkai Yu, Ohm Rishabh Venkatachalam, Zheng Wang +9
Multi-LoRA serving is how one base model becomes thousands of specialized variants, one adapter per user, task, or agent, and the deployments can hold 1000-plus adapters. Serving t…
cs.DC2026
FlashCP: Load-Balanced Communication-Efficient Context Parallelism for LLM Training
Zheng Wang, Eric Liu, Linan Jiang +5
Context parallelism (CP) is essential for training large-scale, long-context language models, as it partitions sequences to reduce memory overhead. However, existing CP methods suf…
cs.DB2025
HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving
Zhengding Hu, Vibha Murthy, Zaifeng Pan +4
This paper addresses emerging system-level challenges in heterogeneous retrieval-augmented generation (RAG) serving, where complex multi-stage workflows and diverse request pattern…