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cs.LG2025
BitStopper: An Efficient Transformer Attention Accelerator via Stage-fusion and Early Termination
Huizheng Wang, Hongbin Wang, Shaojun Wei +2
Attention-based large language models (LLMs) have transformed modern AI applications, but the quadratic cost of self-attention imposes significant compute and memory overhead. Dyna…
cs.LG2025
LAPA: Log-Domain Prediction-Driven Dynamic Sparsity Accelerator for Transformer Model
Huizheng Wang, Hongbin Wang, Shaojun Wei +2
Attention-based Transformers have revolutionized natural language processing (NLP) and shown strong performance in computer vision (CV) tasks. However, as the input sequence varies…