3 citations · 4 across the 9 of their papers we have counts for
9 papers
d-HNSW: A High-performance Vector Search Engine on Disaggregated Memory
Fei Fang, Yi Liu, Chen Qian
Efficient vector search is essential for powering large-scale AI applications, such as LLMs. Existing solutions are designed for monolithic architectures where compute and memory a…
Trinity: Disaggregating Vector Search from Prefill-Decode Disaggregation in LLM Serving
Yi Liu, Chen Qian
Prefill and decode (PD) disaggregation separates prompt prefill and token-by-token decode stages into distinct GPU pools and has become the dominant architecture for large-scale LL…
Fantasy: Efficient Large-scale Vector Search on GPU Clusters with GPUDirect Async
Yi Liu, Chen Qian
Vector similarity search has become a critical component in AI-driven applications such as large language models (LLMs). To achieve high recall and low latency, GPUs are utilized t…
A Distributed Learned Hash Table
Shengze Wang, Yi Liu, Xiaoxue Zhang +2
Distributed Hash Tables (DHTs) are pivotal in numerous high-impact key-value applications built on distributed networked systems, offering a decentralized architecture that avoids…
Efficient Vector Search on Disaggregated Memory with d-HNSW
Yi Liu, Fei Fang, Chen Qian
Efficient vector query processing is critical to enable AI applications at scale. Recent solutions struggle with growing vector datasets that exceed single-machine memory capacity,…
CloudQC: A Network-aware Framework for Multi-tenant Distributed Quantum Computing
Ruilin Zhou, Yuhang Gan, Yi Liu +1
Distributed quantum computing (DQC) that allows a large quantum circuit to be executed simultaneously on multiple quantum processing units (QPUs) becomes a promising approach to in…
PlanetServe: A Decentralized, Scalable, and Privacy-Preserving Overlay for Democratizing Large Language Model Serving
Fei Fang, Yifan Hua, Shengze Wang +4
While significant progress has been made in research and development on open-source and cost-efficient large-language models (LLMs), serving scalability remains a critical challeng…
Outback: Fast and Communication-efficient Index for Key-Value Store on Disaggregated Memory
Yi Liu, Minghao Xie, Shouqian Shi +3
Disaggregated memory systems achieve resource utilization efficiency and system scalability by distributing computation and memory resources into distinct pools of nodes. RDMA is a…
Towards Practical Overlay Networks for Decentralized Federated Learning
Yifan Hua, Jinlong Pang, Xiaoxue Zhang +5
Decentralized federated learning (DFL) uses peer-to-peer communication to avoid the single point of failure problem in federated learning and has been considered an attractive solu…