1 citations · 1 across the 2 of their papers we have counts for
4 papers
Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM Decoding
Yue Guan, Changming Yu, Shihan Fang +8
Speculative decoding improves LLM inference by generating and verifying multiple tokens in parallel, but existing systems suffer from suboptimal performance due to a mismatch betwe…
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…
KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows
Zaifeng Pan, Ajjkumar Patel, Zhengding Hu +6
Large language model (LLM) based agentic workflows have become a popular paradigm for coordinating multiple specialized agents to solve complex tasks. To improve serving efficiency…
WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training
Zheng Wang, Anna Cai, Xinfeng Xie +9
In this work, we present WLB-LLM, a workLoad-balanced 4D parallelism for large language model training. We first thoroughly analyze the workload imbalance issue in LLM training and…