EC-SpMM: Efficient Compilation of SpMM Kernel on GPUs

Author:

Lin Junqing1ORCID,Zhang Honghe1ORCID,Shi Xiaolong1ORCID,Sun Jingwei1ORCID,Yu Xianzhi2ORCID,Yao Jun2ORCID,Sun Guangzhong1ORCID

Affiliation:

1. University of Science and Technology of China, China

2. Huawei Noah's Ark Lab, China

Publisher

ACM

Reference31 articles.

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2. 2022. A High-Performance CUDA Library for Sparse Matrix-Matrix Multiplication. https://docs.nvidia.com/cuda/cusparse/index.html. 2022. A High-Performance CUDA Library for Sparse Matrix-Matrix Multiplication. https://docs.nvidia.com/cuda/cusparse/index.html.

3. 2022. The sdk for high-performance deep learning inference. https://docs.nvidia.com/deeplearning/tensorrt/. 2022. The sdk for high-performance deep learning inference. https://docs.nvidia.com/deeplearning/tensorrt/.

4. Yue Bai , Huan Wang , Zhiqiang Tao , Kunpeng Li , and Yun Fu . 2022 . Dual Lottery Ticket Hypothesis. In The Tenth International Conference on Learning Representations, ICLR 2022 , Virtual Event , April 25-29, 2022. OpenReview.net. Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, and Yun Fu. 2022. Dual Lottery Ticket Hypothesis. In The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022. OpenReview.net.

5. Hardware-Aware Neural Architecture Search: Survey and Taxonomy

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1. SyncMalloc: A Synchronized Host-Device Co-Management System for GPU Dynamic Memory Allocation across All Scales;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

2. LO-SpMM: Low-cost Search for High-performance SpMM Kernels on GPUs;ACM Transactions on Architecture and Code Optimization;2024-07-29

3. PckGNN: Optimizing Aggregation Operators with Packing Strategies in Graph Neural Networks;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

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