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Architecture-Centric Bottleneck Analysis for Deep Neural Network Applications.

J. Ryoo, M. Fan, X. Tang, H. Jiang, M. Arunachalam, S. Naveen, and M. Kandemir. HiPC, page 205-214. IEEE, (2019)

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Tang Tang

Fei Tang

Junhua Tang

Jian Tang

Xinhua Tang

Other publications of authors with the same name

YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design.Y. Cai, H. Li, G. Yuan, W. Niu, Y. Li, X. Tang, B. Ren, and Y. Wang. AAAI, page 955-963. AAAI Press, (2021)Fluid: a framework for approximate concurrency via controlled dependency relaxation.H. Jiang, H. Zhang, X. Tang, V. Govindaraj, J. Sampson, M. Kandemir, and D. Zhang. PLDI, page 252-267. ACM, (2021)Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework.G. Yuan, P. Dong, M. Sun, W. Niu, Z. Li, Y. Cai, J. Liu, W. Jiang, X. Lin, B. Ren and 2 other author(s). RTAS, page 493-496. IEEE, (2021)You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding.G. Yuan, S. Chang, Q. Jin, A. Lu, Y. Li, Y. Wu, Z. Kong, Y. Xie, P. Dong, M. Qin and 4 other author(s). ECCV (12), volume 13672 of Lecture Notes in Computer Science, page 34-51. Springer, (2022)An efficient segmented quantization for graph neural networks.Y. Dai, X. Tang, and Y. Zhang. CCF Trans. High Perform. Comput., 4 (4): 461-473 (December 2022)FlexBFS: a parallelism-aware implementation of breadth-first search on GPU.G. Liu, H. An, W. Han, X. Li, T. Sun, W. Zhou, X. Wei, and X. Tang. PPoPP, page 279-280. ACM, (2012)Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training.G. Yuan, Y. Li, S. Li, Z. Kong, S. Tulyakov, X. Tang, Y. Wang, and J. Ren. CoRR, (2022)Controlled Kernel Launch for Dynamic Parallelism in GPUs.X. Tang, A. Pattnaik, H. Jiang, O. Kayiran, A. Jog, S. Pai, M. Ibrahim, M. Kandemir, and C. Das. HPCA, page 649-660. IEEE Computer Society, (2017)Enhancing GPU Performance via Neighboring Directory Table Based Inter-TLB Sharing.Y. Du, M. Liu, Y. Yang, M. Zhang, and X. Tang. ICCD, page 146-153. IEEE, (2022)Orchestrated Scheduling and Partitioning for Improved Address Translation in GPUs.B. Li, Y. Wang, and X. Tang. DAC, page 1-6. IEEE, (2023)

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Disambiguation of "Tang, Xulong"

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Architecture-Centric Bottleneck Analysis for Deep Neural Network Applications.

Please choose a person to relate this publication to

Tang Tang

Fei Tang

Junhua Tang

Jian Tang

Xinhua Tang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tang, Xulong"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Architecture-Centric Bottleneck Analysis for Deep Neural Network Applications.

Please choose a person to relate this publication to

Tang Tang

Fei Tang

Junhua Tang

Jian Tang

Xinhua Tang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
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Architecture-Centric Bottleneck Analysis for Deep Neural Network Applications.