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

Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud.

S. Zeng, G. Dai, K. Zhong, H. Sun, G. Ge, K. Guo, Y. Wang, and H. Yang. FPGA, page 317. ACM, (2020)

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.

Jing Dai

Huangdong Dai

Yangguang Dai

Min Dai

Vodang Dai

Other publications of authors with the same name

HyVE: Hybrid Vertex-Edge Memory Hierarchy for Energy-Efficient Graph Processing.G. Dai, T. Huang, Y. Wang, H. Yang, and J. Wawrzynek. IEEE Trans. Computers, 68 (8): 1131-1146 (2019)GraphSAR: a sparsity-aware processing-in-memory architecture for large-scale graph processing on ReRAMs.G. Dai, T. Huang, Y. Wang, H. Yang, and J. Wawrzynek. ASP-DAC, page 120-126. ACM, (2019)Sgap: towards efficient sparse tensor algebra compilation for GPU.G. Zhang, Y. Zhao, Y. Tao, Z. Yu, G. Dai, S. Huang, Y. Wen, P. Petoumenos, and Y. Wang. CCF Trans. High Perform. Comput., 5 (2): 210-227 (June 2023)Sgap: Towards Efficient Sparse Tensor Algebra Compilation for GPU.G. Zhang, Y. Zhao, Y. Tao, Z. Yu, G. Dai, S. Huang, Y. Wen, P. Petoumenos, and Y. Wang. CoRR, (2022)CogDL: An Extensive Toolkit for Deep Learning on Graphs.Y. Cen, Z. Hou, Y. Wang, Q. Chen, Y. Luo, X. Yao, A. Zeng, S. Guo, P. Zhang, G. Dai and 4 other author(s). CoRR, (2021)Evaluating Quantized Large Language Models.S. Li, X. Ning, L. Wang, T. Liu, X. Shi, S. Yan, G. Dai, H. Yang, and Y. Wang. CoRR, (2024)DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search.S. Zeng, Z. Zhu, J. Liu, H. Zhang, G. Dai, Z. Zhou, S. Li, X. Ning, Y. Xie, H. Yang and 1 other author(s). MICRO, page 283-296. ACM, (2023)TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs.H. Tang, S. Yang, Z. Liu, K. Hong, Z. Yu, X. Li, G. Dai, Y. Wang, and S. Han. MICRO, page 225-239. ACM, (2023)NTGAT: A Graph Attention Network Accelerator with Runtime Node Tailoring.W. Hou, K. Zhong, S. Zeng, G. Dai, H. Yang, and Y. Wang. ASP-DAC, page 645-650. ACM, (2023)TSTC: Two-Level Sparsity Tensor Core Enabling both Algorithm Flexibility and Hardware Efficiency.J. Liu, G. Dai, H. Xia, L. Guo, X. Shi, J. Xu, H. Yang, and Y. Wang. ICCAD, page 1-9. IEEE, (2023)

BibSonomy

Disambiguation of "Dai, Guohao"

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

Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud.

Please choose a person to relate this publication to

Jing Dai

Huangdong Dai

Yangguang Dai

Min Dai

Vodang Dai

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Dai, Guohao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud.

Please choose a person to relate this publication to

Jing Dai

Huangdong Dai

Yangguang Dai

Min Dai

Vodang Dai

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

Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud.