Zaifeng Pan

According to our database, Zaifeng Pan authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Compressed data direct computing for Chinese dataset on DCU.

Yani Liu, Feng Zhang, Zaifeng Pan, Xiaoguang Guo, Yihua Hu, Xiao Zhang, Xiaoyong Du

CCF Trans. High Perform. Comput., April, 2024

RecFlex: Enabling Feature Heterogeneity-Aware Optimization for Deep Recommendation Models with Flexible Schedules.

Zaifeng Pan, Zhen Zheng, Feng Zhang, Bing Xie, Ruofan Wu, Shaden Smith, Chuanjie Liu, Olatunji Ruwase, Xiaoyong Du, Yufei Ding

Proceedings of the International Conference for High Performance Computing, 2024

2023

BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach.

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

Proc. ACM Manag. Data, September, 2023

RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns.

Zaifeng Pan, Zhen Zheng, Feng Zhang, Ruofan Wu, Hao Liang, Dalin Wang, Xiafei Qiu, Junjie Bai, Wei Lin, Xiaoyong Du

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Exploring Data Analytics Without Decompression on Embedded GPU Systems.

Zaifeng Pan, Feng Zhang, Yanliang Zhou, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du

IEEE Trans. Parallel Distributed Syst., 2022

G-SLIDE: A GPU-Based Sub-Linear Deep Learning Engine via LSH Sparsification.

Zaifeng Pan, Feng Zhang, Hourun Li, Chenyang Zhang, Xiaoyong Du, Dong Deng

IEEE Trans. Parallel Distributed Syst., 2022

2021

G-TADOC: Enabling Efficient GPU-Based Text Analytics without Decompression.

Feng Zhang, Zaifeng Pan, Yanliang Zhou, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021