High-Performance Tensor Learning Primitives Using GPU Tensor Cores

Author:

Liu Xiao-Yang1ORCID,Zhang Zeliang1,Wang Zhiyuan1,Lu Han2,Wang Xiaodong1ORCID,Walid Anwar3ORCID

Affiliation:

1. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

2. School of Computer Engineering and Science, Shanghai University, Shanghai, China

3. Columbia University and Nokia-Bell Labs, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Efficient Pretraining and Finetuning of Quantized LLMs with Low-Rank Structure;2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS);2024-07-23

2. Tensor Compression and Reconstruction in Split DNN for Real-time Object Detection at the Edge;2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom);2024-07-08

3. Hardware Accelerated Quantized Hand Written Digit Recognition via High Level Synthesis;Proceedings of the Great Lakes Symposium on VLSI 2024;2024-06-12

4. Applications of AI-empowered electric vehicles for voice recognition in Asian and Austronesian languages;Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems;2024

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