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Book Open access Sep 2026

A Few GPUs, A Whole Lotta Scale: Faithful LLM Training Emulation with CrystalLLM

Large language model (LLM) training today runs on clusters spanning thousands of GPUs. While this scale enables rapid model advances, developing, debugging, and performance-tuning, the training framework inevitably becomes complex and costly. This is because engineers often need to reproduce production behaviors to dia...

Shao-Ke Xi, ChonLam Lao, Bo-Yi Jia et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Parameterized Stripe Attention for Efficient Video Generation

PSA, a parameterized stripe attention that formalizes the observed stripe regularity, unifying diverse attention patterns for efficient mask generation, enables a single hardware-efficient CUDA kernel to process all sparse patterns, achieving FlashAttention-3-level Model FLOPs Utilization.

Xing-Yu Jia, Bao-Le Ai, Ang Wang et al. · 0 citations

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