Efficient tensor core-based GPU kernels for structured sparsity under reduced precision

Author:

Chen Zhaodong1,Qu Zheng1,Liu Liu1,Ding Yufei1,Xie Yuan1

Affiliation:

1. University of California

Funder

National Science Foundation

Publisher

ACM

Reference31 articles.

1. Martín Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dandelion Mané Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Viégas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. https://www.tensorflow.org/ Software available from tensorflow.org. Martín Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dandelion Mané Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Viégas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. https://www.tensorflow.org/ Software available from tensorflow.org.

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1. VENOM: A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11

2. DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multiplication;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11

3. Releasing the Potential of Tensor Core for Unstructured SpMM using Tiled-CSR Format;2023 IEEE 41st International Conference on Computer Design (ICCD);2023-11-06

4. Re-compact: Structured Pruning and SpMM Kernel Co-design for Accelerating DNNs on GPUs;2023 IEEE 41st International Conference on Computer Design (ICCD);2023-11-06

5. Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity;Proceedings of the VLDB Endowment;2023-10

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