Guyue Huang
University of California, Santa Barbara(US)
Publications by Year
Research Areas
Parallel Computing and Optimization Techniques, Advanced Neural Network Applications, Advanced Graph Neural Networks, Stochastic Gradient Optimization Techniques, Graph Theory and Algorithms
Most-Cited Works
- → Machine Learning for Electronic Design Automation: A Survey(2021)281 cited
- → GE-SpMM: General-Purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks(2020)112 cited
- → Heuristic adaptability to input dynamics for SpMM on GPUs(2022)25 cited
- → LightSeq2: Accelerated Training for Transformer-Based Models on GPUs(2022)22 cited
- → Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective(2021)21 cited
- → Shfl-BW(2022)16 cited
- → RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration(2023)11 cited
- → TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs(2021)7 cited
- → Exploiting Online Locality and Reduction Parallelism for Sampled Dense Matrix Multiplication on GPUs(2021)7 cited