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-model redundancy that delta compression can exploit by storing only the difference between a target and a reference model. However, compressi...
Ting-Feng Lan, Zirui Wang, Yun-Jia Zheng et al.· Proceedings of the ACM SIGOP...· 0 citations
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. In our measurement, users running coding agents are only 19.5% of the observed population, but account for 55.8% of job submissions, 29.1%...
Yun-Jia Zheng, Bintang Dwi Marthen, Zachary Pan et al.· 0 citations
AI agents generate rich execution trajectories that capture their interactions with large language models, tools, and external environments. These trajectories are increasingly valuable for downstream tasks such as memory extraction, model fine-tuning, runtime optimization, and security and cost monitoring. Yet traject...
Yun-Jia Zheng, Jun-Cheng Yang· 0 citations
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