2 citations · 4 across the 15 of their papers we have counts for
4 papers · 1 filter
Multilayer Dataflow: Orchestrate Butterfly Sparsity to Accelerate Attention Computation
Haibin Wu, Wenming Li, Kai Yan +9
Recent neural networks (NNs) with self-attention exhibit competitiveness across different AI domains, but the essential attention mechanism brings massive computation and memory de…
Accelerating Mini-batch HGNN Training by Reducing CUDA Kernels
Meng Wu, Jingkai Qiu, Mingyu Yan +5
Heterogeneous graph neural networks (HGNNs) are essential for capturing the structure and semantic information in heterogeneous graphs. However, existing GPU-based solutions, such…
Survey on Characterizing and Understanding GNNs from a Computer Architecture Perspective
Meng Wu, Mingyu Yan, Wenming Li +3
Characterizing and understanding graph neural networks (GNNs) is essential for identifying performance bottlenecks and facilitating their deployment in parallel and distributed sys…
ITERTL: An Iterative Framework for Fine-tuning LLMs for RTL Code Generation
Peiyang Wu, Nan Guo, Xiao Xiao +3
Recently, large language models (LLMs) have demonstrated excellent performance, inspiring researchers to explore their use in automating register transfer level (RTL) code generati…