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PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation.

N. Zheng, H. Jiang, Q. Zhang, Z. Han, L. Ma, Y. Yang, F. Yang, C. Zhang, L. Qiu, M. Yang, and L. Zhou. SOSP, page 331-347. ACM, (2023)

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Zheng-Zheng Kuang

Xing Zheng

Jiarong Zheng

Mei Zheng

Zheng Ren-Rong

Other publications of authors with the same name

nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices.L. Zhang, S. Han, J. Wei, N. Zheng, T. Cao, Y. Yang, and Y. Liu. MobiSys, page 81-93. ACM, (2021)Enable simultaneous DNN services based on deterministic operator overlap and precise latency prediction.W. Cui, H. Zhao, Q. Chen, N. Zheng, J. Leng, J. Zhao, Z. Song, T. Ma, Y. Yang, C. Li and 1 other author(s). SC, page 15. ACM, (2021)Online Video Streaming Super-Resolution with Adaptive Look-Up Table Fusion.G. Yin, X. Jiang, S. Jiang, Z. Han, N. Zheng, H. Yang, D. Bai, H. Tan, S. Sun, Y. Yang and 2 other author(s). CoRR, (2023)URSA: Precise Capacity Planning and Fair Scheduling based on Low-level Statistics for Public Clouds.W. Zhang, N. Zheng, Q. Chen, Y. Yang, Z. Song, T. Ma, J. Leng, and M. Guo. ICPP, page 73:1-73:11. ACM, (2020)CLIBE: Precise Cluster-Level I/O Bandwidth Enforcement in Distributed File System.N. Zheng, Q. Chen, C. Chen, and M. Guo. HPCC/SmartCity/DSS, page 124-131. IEEE, (2018)PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation.N. Zheng, H. Jiang, Q. Zhang, Z. Han, L. Ma, Y. Yang, F. Yang, C. Zhang, L. Qiu, M. Yang and 1 other author(s). SOSP, page 331-347. ACM, (2023)QoS-Aware Irregular Collaborative Inference for Improving Throughput of DNN Services.K. Fu, J. Shi, Q. Chen, N. Zheng, W. Zhang, D. Zeng, and M. Guo. SC, page 69:1-69:14. IEEE, (2022)Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning.B. Lin, N. Zheng, L. Wang, S. Cao, L. Ma, Q. Zhang, Y. Zhu, T. Cao, J. Xue, Y. Yang and 1 other author(s). MLSys, mlsys.org, (2023)SparDA: Accelerating Dynamic Sparse Deep Neural Networks via Sparse-Dense Transformation.N. Zheng, H. Jiang, Q. Zhang, Z. Han, Y. Yang, L. Ma, F. Yang, L. Qiu, M. Yang, and L. Zhou. CoRR, (2023)FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusion.L. Chang, W. Bao, Q. Hou, C. Jiang, N. Zheng, Y. Zhong, X. Zhang, Z. Song, Z. Jiang, H. Lin and 2 other author(s). CoRR, (2024)

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Disambiguation of "Zheng, Ningxin"

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PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation.

Please choose a person to relate this publication to

Zheng-Zheng Kuang

Xing Zheng

Jiarong Zheng

Mei Zheng

Zheng Ren-Rong

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zheng, Ningxin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation.

Please choose a person to relate this publication to

Zheng-Zheng Kuang

Xing Zheng

Jiarong Zheng

Mei Zheng

Zheng Ren-Rong

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
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PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation.