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CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract).

X. Miao, L. Ma, Z. Yang, Y. Shao, B. Cui, L. Yu, and J. Jiang. ICDE, page 2330-2331. IEEE, (2021)

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Lingxiao Wang

Lingxiao Zhou

Yuzhao Ma

Characterization of higher order modes in optical fibersY. Ma. Uni Erlangen-Nürnberg, (2009)

Jingxiang Ma

Tsie Ma

Other publications of authors with the same name

SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization.S. Cao, L. Ma, W. Xiao, C. Zhang, Y. Liu, L. Zhang, L. Nie, and Z. Yang. CVPR, page 11216-11225. Computer Vision Foundation / IEEE, (2019)Optimizing Dynamic Neural Networks with Brainstorm.W. Cui, Z. Han, L. Ouyang, Y. Wang, N. Zheng, L. Ma, Y. Yang, F. Yang, J. Xue, L. Qiu and 4 other author(s). OSDI, page 797-815. USENIX Association, (2023)Welder: Scheduling Deep Learning Memory Access via Tile-graph.Y. Shi, Z. Yang, J. Xue, L. Ma, Y. Xia, Z. Miao, Y. Guo, F. Yang, and L. Zhou. OSDI, page 701-718. USENIX Association, (2023)SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute.N. Zheng, B. Lin, Q. Zhang, L. Ma, Y. Yang, F. Yang, Y. Wang, M. Yang, and L. Zhou. OSDI, page 213-232. USENIX Association, (2022)NeuGraph: Parallel Deep Neural Network Computation on Large Graphs.L. Ma, Z. Yang, Y. Miao, J. Xue, M. Wu, L. Zhou, and Y. Dai. USENIX ATC, page 443-458. USENIX Association, (2019)CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract).X. Miao, L. Ma, Z. Yang, Y. Shao, B. Cui, L. Yu, and J. Jiang. ICDE, page 2330-2331. IEEE, (2021)ROLLER: Fast and Efficient Tensor Compilation for Deep Learning.H. Zhu, R. Wu, Y. Diao, S. Ke, H. Li, C. Zhang, J. Xue, L. Ma, Y. Xia, W. Cui and 5 other author(s). OSDI, page 233-248. USENIX Association, (2022)The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits.S. Ma, H. Wang, L. Ma, L. Wang, W. Wang, S. Huang, L. Dong, R. Wang, J. Xue, and F. Wei. CoRR, (2024)Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation.L. Wang, L. Ma, S. Cao, Q. Zhang, J. Xue, Y. Shi, N. Zheng, Z. Miao, F. Yang, T. Cao and 2 other author(s). OSDI, page 307-323. USENIX Association, (2024)Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning.C. Zhang, L. Ma, J. Xue, Y. Shi, Z. Miao, F. Yang, J. Zhai, Z. Yang, and M. Yang. OSDI, page 681-699. USENIX Association, (2023)

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Disambiguation of "Ma, Lingxiao"

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CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract).

Please choose a person to relate this publication to

Lingxiao Wang

Lingxiao Zhou

Yuzhao Ma

Jingxiang Ma

Tsie Ma

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ma, Lingxiao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract).

Please choose a person to relate this publication to

Lingxiao Wang

Lingxiao Zhou

Yuzhao Ma

Jingxiang Ma

Tsie Ma

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract).