Showing cs.DCShow all
2 papers · 1 filter
cs.DC2026
Fine-Tuning a 3B-Parameter LLM on a Smartphone: Characterizing Sustained Training
Andrew Geyko, Marius Mosbach, André Brinkmann
Multi-billion-parameter LLMs now run on phones for inference, and training them on the device would personalize them without user data leaving the phone. Prior work has measured in…
cs.DC2026
Employ SmartNICs' Data Path Accelerators for Ordered Key-Value Stores
Frederic Schimmelpfennig, Jan Sass, Reza Salkhordeh +3
Remote in-memory key-value (KV) stores serve as a cornerstone for diverse modern workloads, and high-speed range scans are frequently a requirement. However, current architectures…