6 citations · 9 across the 11 of their papers we have counts for
5 papers · 1 filter
Towards Efficient HPC Systems for Agents: Challenges and Opportunities
Yunjia Zheng, Bintang Dwi Marthen, Zachary Pan +5
Coding agents have become real users of high-performance computing (HPC) systems, yet today's HPC abstractions, interfaces, and policies remain designed for human-driven workflows.…
LatentStore: An Efficient Latent-First Storage System for AI-Generated Images
Zirui Wang, Yunjia Zheng, Tingfeng Lan +4
The explosive growth of AI-generated images has created a sustainability challenge for storage infrastructure. Platforms like Midjourney and Adobe Firefly already host billions of…
TensorDex: A Compact, Tensor-Centric Storage System for Modern AI Models
Tingfeng Lan, Zirui Wang, Yunjia Zheng +3
Modern model hubs store hundreds of petabytes of large language models (LLMs), with fine-tuned variants dominating the storage footprint. These variants contain substantial cross-m…
Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow
Yixuan Mei, Yonghao Zhuang, Xupeng Miao +3
This paper introduces Helix, a distributed system for high-throughput, low-latency large language model (LLM) serving in heterogeneous GPU clusters. The key idea behind Helix is to…
PACEMAKER: Avoiding HeART attacks in storage clusters with disk-adaptive redundancy
Saurabh Kadekodi, Francisco Maturana, Suhas Jayaram Subramanya +3
Data redundancy provides resilience in large-scale storage clusters, but imposes significant cost overhead. Substantial space-savings can be realized by tuning redundancy schemes t…