Designing Spatial Architectures for Sparse Attention: STAR Accelerator via Cross-Stage Tiling

This article likely presents a novel hardware accelerator, STAR, designed to improve the efficiency of sparse attention mechanisms. The focus is on spatial architectures and cross-stage tiling, suggesting an optimization strategy for memory access and computation within the accelerator. The use of 'sparse attention' indicates a focus on reducing computational complexity in attention mechanisms, a key component of large language models (LLMs).