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Tango: rethinking quantization for graph neural network training on GPUs.

S. Chen, D. Zheng, C. Ding, C. Huan, Y. Ji, and H. Liu. CoRR, (2023)

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Ding Ding

Huawen Ding

Wei Ding

Reinhard Ding

Other publications of authors with the same name

Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference.B. Lu, C. Ding, J. Bi, and D. Song. CoRR, (2024)An End-to-end Multi-task Object Detection using Embedded GPU in Autonomous Driving.S. Zhou, M. Xie, Y. Jin, F. Miao, and C. Ding. ISQED, page 122-128. IEEE, (2021)Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning.H. Peng, S. Huang, T. Geng, A. Li, W. Jiang, H. Liu, S. Wang, and C. Ding. ISQED, page 142-148. IEEE, (2021)A Secure and Efficient Federated Learning Framework for NLP.C. Wang, J. Deng, X. Meng, Y. Wang, J. Li, S. Lin, S. Han, F. Miao, S. Rajasekaran, and C. Ding. EMNLP (1), page 7676-7682. Association for Computational Linguistics, (2021)A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining.H. Peng, S. Huang, S. Chen, B. Li, T. Geng, A. Li, W. Jiang, W. Wen, J. Bi, H. Liu and 1 other author(s). DAC, page 1135-1140. ACM, (2022)REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs.C. Ding, S. Wang, N. Liu, K. Xu, Y. Wang, and Y. Liang. FPGA, page 33-42. ACM, (2019)Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices.S. Islam, J. Deng, S. Zhou, C. Pan, C. Ding, and M. Xie. DATE, page 921-926. IEEE, (2022)Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework.Y. Wang, C. Ding, Z. Li, G. Yuan, S. Liao, X. Ma, B. Yuan, X. Qian, J. Tang, Q. Qiu and 1 other author(s). AAAI, page 4235-4243. AAAI Press, (2018)FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery: Special Session Paper.D. Manu, Y. Sheng, J. Yang, J. Deng, T. Geng, A. Li, C. Ding, W. Jiang, and L. Yang. ICCAD, page 1-7. IEEE, (2021)Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks.Z. Yuan, J. Li, Z. Li, C. Ding, A. Ren, B. Yuan, Q. Qiu, J. Draper, and Y. Wang. ACM Great Lakes Symposium on VLSI, page 467-470. ACM, (2017)

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Disambiguation of "Ding, Caiwen"

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Tango: rethinking quantization for graph neural network training on GPUs.

Please choose a person to relate this publication to

Ding Ding

Ding Ding

Huawen Ding

Wei Ding

Reinhard Ding

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ding, Caiwen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Tango: rethinking quantization for graph neural network training on GPUs.

Please choose a person to relate this publication to

Ding Ding

Ding Ding

Huawen Ding

Wei Ding

Reinhard Ding

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
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Tango: rethinking quantization for graph neural network training on GPUs.