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2020 – today
- 2023
[c20]Chen Nie, Guoyang Chen, Weifeng Zhang, Zhezhi He:
GIM: Versatile GNN Acceleration with Reconfigurable Processing-in-Memory. ICCD 2023: 499-506- [i4]Fang Zhang, Xing Zhu, Rui Chao, Cupjin Huang, Linghang Kong, Guoyang Chen, Dawei Ding, Haishan Feng, Yihuai Gao, Xiaotong Ni, Liwei Qiu, Zhe Wei, Yueming Yang, Yang Zhao, Yaoyun Shi, Weifeng Zhang, Peng Zhou, Jianxin Chen:
A Classical Architecture For Digital Quantum Computers. CoRR abs/2305.14304 (2023) - 2022
- [j3]Hongxu Yin
, Guoyang Chen, Yingmin Li, Shuai Che, Weifeng Zhang, Niraj K. Jha:
Towards Execution-Efficient LSTMs via Hardware-Guided Grow-and-Prune Paradigm. IEEE Trans. Emerg. Top. Comput. 10(4): 1799-1809 (2022) - 2021
- [c19]Minxuan Zhou, Guoyang Chen, Mohsen Imani, Saransh Gupta, Weifeng Zhang, Tajana Rosing:
PIM-DL: Boosting DNN Inference on Digital Processing In-Memory Architectures via Data Layout Optimizations. PACT 2021: 1 - [c18]Lin Ning, Guoyang Chen, Weifeng Zhang, Xipeng Shen:
Simple Augmentation Goes a Long Way: ADRL for DNN Quantization. ICLR 2021 - [c17]Xin He, Jiawen Liu, Zhen Xie, Hao Chen, Guoyang Chen, Weifeng Zhang, Dong Li:
Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators. ICS 2021: 227-241 - [c16]Boyuan Feng, Yuke Wang, Guoyang Chen, Weifeng Zhang, Yuan Xie, Yufei Ding:
EGEMM-TC: accelerating scientific computing on tensor cores with extended precision. PPoPP 2021: 278-291 - 2020
- [c15]Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning:
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness. AAAI 2020: 3858-3865 - [c14]Peng Gu, Xinfeng Xie, Yufei Ding, Guoyang Chen, Weifeng Zhang, Dimin Niu, Yuan Xie:
iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture. ISCA 2020: 804-817 - [i3]Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning:
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness. CoRR abs/2002.07246 (2020)
2010 – 2019
- 2019
- [c13]Fei Wang, Guoyang Chen, Weifeng Zhang, Tiark Rompf:
Parallel Training via Computation Graph Transformation. IEEE BigData 2019: 3430-3439 - [i2]Hongxu Yin, Guoyang Chen, Yingmin Li, Shuai Che, Weifeng Zhang, Niraj K. Jha:
Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM. CoRR abs/1901.10997 (2019) - [i1]Xinli Cai, Peng Zhou, Shuhan Ding, Guoyang Chen, Weifeng Zhang:
Sionnx: Automatic Unit Test Generator for ONNX Conformance. CoRR abs/1906.05676 (2019) - 2018
- [c12]Hao Luo, Guoyang Chen, Fangzhou Liu, Pengcheng Li, Chen Ding, Xipeng Shen:
Footprint modeling of cache associativity and granularity. MEMSYS 2018: 232-242 - 2017
- [j2]Guoyang Chen, Xipeng Shen, Bo Wu, Dong Li:
Optimizing Data Placement on GPU Memory: A Portable Approach. IEEE Trans. Computers 66(3): 473-487 (2017) - [c11]Guoyang Chen, Yufei Ding, Xipeng Shen:
Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity. ICDE 2017: 621-632 - [c10]Guoyang Chen, Lei Zhang, Richa Budhiraja, Xipeng Shen, Youfeng Wu:
Efficient support of position independence on non-volatile memory. MICRO 2017: 191-203 - [c9]Guoyang Chen, Yue Zhao, Xipeng Shen, Huiyang Zhou:
EffiSha: A Software Framework for Enabling Effficient Preemptive Scheduling of GPU. PPoPP 2017: 3-16 - 2016
- [c8]Guoyang Chen, Huiyang Zhou, Xipeng Shen, Joshua Gahm, Narayan Venkat, Skip Booth, John Marshall:
OpenCL-based erasure coding on heterogeneous architectures. ASAP 2016: 33-40 - [c7]Yue Zhao, Guoyang Chen, Chunhua Liao, Xipeng Shen:
Towards Ontology-Based Program Analysis. ECOOP 2016: 26:1-26:25 - [c6]Guoyang Chen, Xipeng Shen:
Coherence-Free Multiview: Enabling Reference-Discerning Data Placement on GPU. ICS 2016: 14:1-14:13 - [c5]Hao Luo, Guoyang Chen, Pengcheng Li, Chen Ding, Xipeng Shen:
Data-centric combinatorial optimization of parallel code. PPoPP 2016: 38:1-38:2 - 2015
- [j1]Guoyang Chen, Bo Wu, Dong Li, Xipeng Shen:
Enabling Portable Optimizations of Data Placement on GPU. IEEE Micro 35(4): 16-24 (2015) - [c4]Bo Wu, Guoyang Chen, Dong Li, Xipeng Shen, Jeffrey S. Vetter:
Enabling and Exploiting Flexible Task Assignment on GPU through SM-Centric Program Transformations. ICS 2015: 119-130 - [c3]Guoyang Chen, Xipeng Shen:
Free launch: optimizing GPU dynamic kernel launches through thread reuse. MICRO 2015: 407-419 - 2014
- [c2]Bo Wu, Guoyang Chen, Dong Li, Xipeng Shen, Jeffrey S. Vetter:
SM-centric transformation: circumventing hardware restrictions for flexible GPU scheduling. PACT 2014: 497-498 - [c1]Guoyang Chen, Bo Wu, Dong Li, Xipeng Shen:
PORPLE: An Extensible Optimizer for Portable Data Placement on GPU. MICRO 2014: 88-100
Coauthor Index
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