Researchers Unveil NSA: Hardware-Optimized Sparse Attention for Efficient Long-Context AI Models

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Authors:Jingyang Yuan, Huazuo Gao, Damai Dai, Junyu Luo, Liang Zhao, Zhengyan Zhang, Zhenda Xie, Y. X. Wei, Lean Wang, Zhiping Xiao, Yuqing Wang, Chong Ruan, Ming Zhang, Wenfeng Liang, Wangding Zeng View PDF HTML (experimental) Abstract:Long-context modeling is crucial for next-generation language models, yet the high computational cost of standard attention mechanisms poses significant computational challenges. Sparse attention offers a promising direction for improving efficiency while maintai...