Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

G-SEPM: building an accurate and efficient soft error prediction model for GPGPUs.

H. Yue, X. Wei, G. Li, J. Zhao, N. Jiang, and J. Tan. SC, page 54. ACM, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Li Li

Other publications of authors with the same name

Gathering Effective Information for Real-Time Material Recognition.H. Zhang, Z. Jiang, Q. Xiong, J. Wu, T. Yuan, G. Li, Y. Huang, and D. Ji. IEEE Access, (2020)Compiler-assisted Operator Template Library for DNN Accelerators.J. Li, W. Cao, X. Dong, G. Li, X. Wang, P. Zhao, L. Liu, and X. Feng. Int. J. Parallel Program., 49 (5): 628-645 (2021)Multi-Source News Recommender System Based on Convolutional Neural Networks.B. Yu, J. Shao, Q. Cheng, H. Yu, G. Li, and S. Lü. ICIIP, page 17-23. ACM, (2018)G-SEPM: building an accurate and efficient soft error prediction model for GPGPUs.H. Yue, X. Wei, G. Li, J. Zhao, N. Jiang, and J. Tan. SC, page 54. ACM, (2021)Exploiting the input sparsity to accelerate deep neural networks: poster.X. Dong, L. Liu, G. Li, J. Li, P. Zhao, X. Wang, and X. Feng. PPoPP, page 401-402. ACM, (2019)Background Subtraction on Depth Videos with Convolutional Neural Networks.X. Wang, L. Liu, G. Li, X. Dong, P. Zhao, and X. Feng. IJCNN, page 1-7. IEEE, (2018)Unleashing the Low-Precision Computation Potential of Tensor Cores on GPUs.G. Li, J. Xue, L. Liu, X. Wang, X. Ma, X. Dong, J. Li, and X. Feng. CGO, page 90-102. IEEE, (2021)XDN: Towards Efficient Inference of Residual Neural Networks on Cambricon Chips.G. Li, X. Wang, X. Ma, L. Liu, and X. Feng. Bench, volume 12093 of Lecture Notes in Computer Science, page 51-56. Springer, (2019)Lance: efficient low-precision quantized winograd convolution for neural networks based on graphics processing units.G. Li, L. Liu, X. Wang, X. Ma, and X. Feng. ICASSP, page 3842-3846. IEEE, (2020)Pinpointing the Memory Behaviors of DNN Training.J. Li, X. Dong, G. Li, P. Zhao, X. Wang, X. Chen, X. Yu, Y. Yang, Z. Jiang, W. Cao and 2 other author(s). ISPASS, page 217-219. IEEE, (2021)

BibSonomy

Disambiguation of "Li, Guangli"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

G-SEPM: building an accurate and efficient soft error prediction model for GPGPUs.

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, Guangli"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML G-SEPM: building an accurate and efficient soft error prediction model for GPGPUs.

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

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

G-SEPM: building an accurate and efficient soft error prediction model for GPGPUs.