Feiwen Zhu

According to our database, Feiwen Zhu authored at least 9 papers between 2011 and 2024.

Collaborative distances:

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

2024

Boosting the Convergence of Reinforcement Learning-Based Auto-Pruning Using Historical Data.

Jiandong Mu, Mengdi Wang, Feiwen Zhu, Jun Yang, Wei Lin, Wei Zhang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2024

ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours.

Feiwen Zhu, Arkadiusz Nowaczynski, Rundong Li, Jie Xin, Yifei Song, Michal Marcinkiewicz, Sukru Burc Eryilmaz, Jun Yang, Michael Andersch

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs.

Zhongming Yu, Guohao Dai, Shang Yang, Genghan Zhang, Hengrui Zhang, Feiwen Zhu, June Yang, Jishen Zhao, Yu Wang

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

FastDimeNet++: Training DimeNet++ in 22 minutes.

Feiwen Zhu, Michal Futrega, Han Bao, Sukru Burc Eryilmaz, Fei Kong, Kefeng Duan, Xinnian Zheng, Nimrod Angel, Matthias Jouanneaux, Maxmilian Stadler, Michal Marcinkiewicz, Fung Xie, June Yang, Michael Andersch

Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022

AStitch: enabling a new multi-dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures.

Zhen Zheng, Xuanda Yang, Pengzhan Zhao, Guoping Long, Kai Zhu, Feiwen Zhu, Wenyi Zhao, Xiaoyong Liu, Jun Yang, Jidong Zhai, Shuaiwen Leon Song, Wei Lin

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2020

FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads.

Zhen Zheng, Pengzhan Zhao, Guoping Long, Feiwen Zhu, Kai Zhu, Wenyi Zhao, Lansong Diao, Jun Yang, Wei Lin

CoRR, 2020

2018

Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip.

Feiwen Zhu, Jeff Pool, Michael Andersch, Jeremy Appleyard, Fung Xie

Proceedings of the 6th International Conference on Learning Representations, 2018

2012

A GPU-based high-throughput image retrieval algorithm.

Feiwen Zhu, Peng Chen, Donglei Yang, Weihua Zhang, Haibo Chen, Binyu Zang

Proceedings of the 5th Annual Workshop on General Purpose Processing with Graphics Processing Units, 2012

2011

A Parallel Analysis on Scale Invariant Feature Transform (SIFT) Algorithm.

Donglei Yang, Lili Liu, Feiwen Zhu, Weihua Zhang

Proceedings of the Advanced Parallel Processing Technologies - 9th International Symposium, 2011