3 papers
cs.LG2026
Compaction-Aware Reinforcement Learning For Ascend Triton Kernel Generation
Chuansai Zhou, Yanlin Liu, Bingning Huang +7
Automatically generating high-performance kernels with LLM-based agents promises substantial gains in development efficiency, but two obstacles remain. First, while increasing mult…
cs.LG2026
CommFuse: Hiding Tail Latency via Communication Decomposition and Fusion for Distributed LLM Training
Rezaul Karim, Austin Wen, Wang Zongzuo +3
The rapid growth in the size of large language models has necessitated the partitioning of computational workloads across accelerators such as GPUs, TPUs, and NPUs. However, these…
cs.CV2025
TaoCache: Structure-Maintained Video Generation Acceleration
Zhentao Fan, Zongzuo Wang, Weiwei Zhang
Existing cache-based acceleration methods for video diffusion models primarily skip early or mid denoising steps, which often leads to structural discrepancies relative to full-tim…