2 papers
cs.DC2026
Pulse: Training Acceleration for Large Diffusion Models with Automatic Pipeline Parallelism
Boran Sun, Guoyong Jiang, Lin Zhang +8
Diffusion models are now a dominant approach for high-fidelity image and video generation, yet scaling their training across GPU clusters remains challenging. Unlike transformer-on…
cs.LG2026
Dissecting Outlier Dynamics in LLM NVFP4 Pretraining
Peijie Dong, Ruibo Fan, Yuechen Tao +11
Training large language models using 4-bit arithmetic enhances throughput and memory efficiency. Yet, the limited dynamic range of FP4 increases sensitivity to outliers. While NVFP…