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HUNTER: Releasing Persistent Memory Write Performance with A Novel PM-DRAM Collaboration Architecture.

Y. Pan, Y. Zhang, W. Xia, X. Zou, и C. Deng. DAC, стр. 1-6. IEEE, (2023)

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Xiangyu Zhang

Xiangyu Hu

Xiangyu Xiao

Yang Zou

Peiguo Zou

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The Design of Fast Content-Defined Chunking for Data Deduplication Based Storage Systems.W. Xia, X. Zou, H. Jiang, Y. Zhou, C. Liu, D. Feng, Y. Hua, Y. Hu, и Y. Zhang. IEEE Trans. Parallel Distributed Syst., 31 (9): 2017-2031 (2020)Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel Processing.X. Zou, T. Lu, S. Di, D. Tao, W. Xia, X. Wang, W. Zhang, и Q. Liao. HPCC/SmartCity/DSS, стр. 1791-1797. IEEE, (2019)Smart-DNN: Efficiently Reducing the Memory Requirements of Running Deep Neural Networks on Resource-constrained Platforms.Z. Hu, X. Zou, W. Xia, Y. Zhao, W. Zhang, и D. Wu. ICCD, стр. 533-541. IEEE, (2021)Secure Transmission for Intelligent Reflecting Surface Assisted Communication with Deep Learning.X. Zou, M. Chen, C. Huang, K. Wang, и M. Shikh-Bahaei. GLOBECOM (Workshops), стр. 1-6. IEEE, (2020)The Design of a Lossless Deduplication Scheme to Eliminate Fine-Grained Redundancy for JPEG Image Storage Systems.C. Deng, X. Zou, Q. Chen, B. Tang, и W. Xia. IEEE Trans. Computers, 73 (5): 1385-1399 (мая 2024)Exploring the Potential of Fast Delta Encoding: Marching to a Higher Compression Ratio.H. Tan, Z. Zhang, X. Zou, Q. Liao, и W. Xia. CLUSTER, стр. 198-208. IEEE, (2020)Odess: Speeding up Resemblance Detection for Redundancy Elimination by Fast Content-Defined Sampling.X. Zou, C. Deng, W. Xia, P. Shilane, H. Tan, H. Zhang, и X. Wang. ICDE, стр. 480-491. IEEE, (2021)SuperCDC: A Hybrid Design of High-Performance Content-Defined Chunking for Fast Deduplication.B. Wan, L. Pu, X. Zou, S. Li, P. Wang, и W. Xia. ICCD, стр. 170-178. IEEE, (2022)Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity.Z. Hu, X. Zou, W. Xia, S. Jin, D. Tao, Y. Liu, W. Zhang, и Z. Zhang. ICPP, стр. 40:1-40:12. ACM, (2020)Key Location Discovery of Underground Personnel Trajectory Based on Edge Computing.J. Zhao, X. Zou, Y. Zhang, Y. Gu, F. Wu, и Z. Zhu. MobiCASE, том 341 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 134-142. Springer, (2020)

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