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2020 – today
- 2024
[j4]Yani Liu
, Feng Zhang, Zaifeng Pan, Xiaoguang Guo, Yihua Hu, Xiao Zhang, Xiaoyong Du:
Compressed data direct computing for Chinese dataset on DCU. CCF Trans. High Perform. Comput. 6(2): 206-220 (2024)- [c3]Zaifeng Pan, Zhen Zheng, Feng Zhang, Bing Xie, Ruofan Wu, Shaden Smith, Chuanjie Liu, Olatunji Ruwase, Xiaoyong Du, Yufei Ding:
RecFlex: Enabling Feature Heterogeneity-Aware Optimization for Deep Recommendation Models with Flexible Schedules. SC 2024: 41 - 2023
- [j3]Zhen Zheng, Zaifeng Pan, Dalin Wang, Kai Zhu, Wenyi Zhao, Tianyou Guo, Xiafei Qiu, Minmin Sun, Junjie Bai, Feng Zhang, Xiaoyong Du, Jidong Zhai, Wei Lin:
BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach. Proc. ACM Manag. Data 1(3): 206:1-206:29 (2023) - [c2]Zaifeng Pan, Zhen Zheng, Feng Zhang, Ruofan Wu, Hao Liang, Dalin Wang, Xiafei Qiu, Junjie Bai, Wei Lin, Xiaoyong Du:
RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns. ASPLOS (4) 2023: 268-286 - 2022
- [j2]Zaifeng Pan, Feng Zhang, Yanliang Zhou, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du:
Exploring Data Analytics Without Decompression on Embedded GPU Systems. IEEE Trans. Parallel Distributed Syst. 33(7): 1553-1568 (2022) - [j1]Zaifeng Pan, Feng Zhang, Hourun Li, Chenyang Zhang, Xiaoyong Du, Dong Deng:
G-SLIDE: A GPU-Based Sub-Linear Deep Learning Engine via LSH Sparsification. IEEE Trans. Parallel Distributed Syst. 33(11): 3015-3027 (2022) - 2021
- [c1]Feng Zhang, Zaifeng Pan, Yanliang Zhou, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du:
G-TADOC: Enabling Efficient GPU-Based Text Analytics without Decompression. ICDE 2021: 1679-1690 - [i1]Feng Zhang, Zaifeng Pan, Yanliang Zhou, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du:
G-TADOC: Enabling Efficient GPU-Based Text Analytics without Decompression. CoRR abs/2106.06889 (2021)
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