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PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication.

C. Wan, Y. Li, C. Wolfe, A. Kyrillidis, N. Kim, and Y. Lin. ICLR, OpenReview.net, (2022)

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Li Li

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Energy efficient parallel neuromorphic architectures with approximate arithmetic on FPGA.Q. Wang, Y. Li, B. Shao, S. Dey, and P. Li. Neurocomputing, (2017)Harmony: Overcoming the hurdles of GPU memory capacity to train massive DNN models on commodity servers.Y. Li, A. Phanishayee, D. Murray, J. Tarnawski, and N. Kim. Proc. VLDB Endow., 15 (11): 2747-2760 (2022)Accelerating distributed reinforcement learning with in-switch computing.Y. Li, I. Liu, Y. Yuan, D. Chen, A. Schwing, and J. Huang. ISCA, page 279-291. ACM, (2019)Effects of deposition pressure on the microstructural and optoelectrical properties of B-doped hydrogenated nanocrystalline silicon (nc-Si: H) thin films grown by hot-wire chemical vapor deposition.P. Luo, Z. Zhou, Y. Li, S. Lin, X. Dou, and R. Cui. Microelectron. J., 39 (1): 12-19 (2008)PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication.C. Wan, Y. Li, C. Wolfe, A. Kyrillidis, N. Kim, and Y. Lin. ICLR, OpenReview.net, (2022)Visage: enabling timely analytics for drone imagery.S. Jha, Y. Li, S. Noghabi, V. Ranganathan, P. Kumar, A. Nelson, M. Toelle, S. Sinha, R. Chandra, and A. Badam. MobiCom, page 789-803. ACM, (2021)GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training.M. Yu, Z. Lin, K. Narra, S. Li, Y. Li, N. Kim, A. Schwing, M. Annavaram, and S. Avestimehr. NeurIPS, page 5129-5139. (2018)BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling.C. Wan, Y. Li, A. Li, N. Kim, and Y. Lin. MLSys, mlsys.org, (2022)Liquid state machine based pattern recognition on FPGA with firing-activity dependent power gating and approximate computing.Q. Wang, Y. Li, and P. Li. ISCAS, page 361-364. IEEE, (2016)DeepStore: In-Storage Acceleration for Intelligent Queries.V. Mailthody, Z. Qureshi, W. Liang, Z. Feng, S. Gonzalo, Y. Li, H. Franke, J. Xiong, J. Huang, and W. Hwu. MICRO, page 224-238. ACM, (2019)

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Disambiguation of "Li, Youjie"

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PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication.

Please choose a person to relate this publication to

Li Li

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Li, Youjie"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication.

Please choose a person to relate this publication to

Li Li

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

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URL
DOI
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PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication.