fuseGNN

Author:

Chen Zhaodong1,Yan Mingyu1,Zhu Maohua1,Deng Lei1,Li Guoqi2,Li Shuangchen3,Xie Yuan1

Affiliation:

1. University of California

2. Tsinghua University

3. Alibaba Group

Funder

National Science Foundation

Publisher

ACM

Reference25 articles.

1. C CUDA. [n.d.]. Best Practices Guide-CUDA Toolkit Documentation. C CUDA. [n.d.]. Best Practices Guide-CUDA Toolkit Documentation.

2. Taming irregular EDA applications on GPUs

3. Optimizing CUDA code by kernel fusion: application on BLAS

4. Cache-based control of atomic operations in conjunction with an external ALU block;Glasco David B;US Patent,2012

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1. High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11

2. DGI: An Easy and Efficient Framework for GNN Model Evaluation;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

3. NMExplorer: An Efficient Exploration Framework for DIMM-based Near-Memory Tensor Reduction;2023 60th ACM/IEEE Design Automation Conference (DAC);2023-07-09

4. GNNear;Proceedings of the International Conference on Parallel Architectures and Compilation Techniques;2022-10-08

5. Characterizing and Understanding HGNNs on GPUs;IEEE Computer Architecture Letters;2022-07-01

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