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cs.DC2025
Fast LLM Post-training via Decoupled and Fastest-of-N Speculation
Rongxin Cheng, Kai Zhou, Xingda Wei +8
Rollout dominates the training time in large language model (LLM) post-training, where the trained model is used to generate tokens given a batch of prompts. This work, SpecActor,…
cs.DC2025
PhoenixOS: Concurrent OS-level GPU Checkpoint and Restore with Validated Speculation
Xingda Wei, Zhuobin Huang, Tianle Sun +5
PHOENIXOS (PHOS) is the first OS service that can concurrently checkpoint and restore (C/R) GPU processes--a fundamental capability for critical tasks such as fault tolerance, proc…