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Journal Articles
- 2024
[j1]Jiandong Mu
, Mengdi Wang, Feiwen Zhu, Jun Yang, Wei Lin, Wei Zhang:
Boosting the Convergence of Reinforcement Learning-Based Auto-Pruning Using Historical Data. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(2): 548-561 (2024)
Conference and Workshop Papers
- 2024
- [c7]Feiwen Zhu, Arkadiusz Nowaczynski, Rundong Li, Jie Xin, Yifei Song, Michal Marcinkiewicz, Sukru Burc Eryilmaz, Jun Yang, Michael Andersch:
ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours. DAC 2024: 265:1-265:6 - 2023
- [c6]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:
FastDimeNet++: Training DimeNet++ in 22 minutes. ICPP 2023: 274-284 - [c5]Zhongming Yu, Guohao Dai, Shang Yang, Genghan Zhang, Hengrui Zhang, Feiwen Zhu, June Yang, Jishen Zhao, Yu Wang:
HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs. MLSys 2023 - 2022
- [c4]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:
AStitch: enabling a new multi-dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures. ASPLOS 2022: 359-373 - 2018
- [c3]Feiwen Zhu, Jeff Pool, Michael Andersch, Jeremy Appleyard, Fung Xie:
Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip. ICLR (Poster) 2018 - 2012
- [c2]Feiwen Zhu, Peng Chen, Donglei Yang, Weihua Zhang, Haibo Chen, Binyu Zang:
A GPU-based high-throughput image retrieval algorithm. GPGPU@ASPLOS 2012: 30-37 - 2011
- [c1]Donglei Yang, Lili Liu, Feiwen Zhu, Weihua Zhang:
A Parallel Analysis on Scale Invariant Feature Transform (SIFT) Algorithm. APPT 2011: 98-111
Informal and Other Publications
- 2024
- [i4]Feiwen Zhu, Arkadiusz Nowaczynski, Rundong Li, Jie Xin, Yifei Song, Michal Marcinkiewicz, Sukru Burc Eryilmaz, Jun Yang, Michael Andersch:
ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours. CoRR abs/2404.11068 (2024) - 2021
- [i3]Jiandong Mu, Mengdi Wang, Feiwen Zhu, Jun Yang, Wei Lin, Wei Zhang:
Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data. CoRR abs/2107.08815 (2021) - 2020
- [i2]Zhen Zheng, Pengzhan Zhao, Guoping Long, Feiwen Zhu, Kai Zhu, Wenyi Zhao, Lansong Diao, Jun Yang, Wei Lin:
FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads. CoRR abs/2009.10924 (2020) - 2018
- [i1]Feiwen Zhu, Jeff Pool, Michael Andersch, Jeremy Appleyard, Fung Xie:
Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip. CoRR abs/1804.10223 (2018)
Coauthor Index
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