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2020 – today
- 2020
[j2]Lei Deng
, Guanrui Wang, Guoqi Li, Shuangchen Li, Ling Liang, Maohua Zhu, Yujie Wu, Zheyu Yang, Zhe Zou, Jing Pei, Zhenzhi Wu, Xing Hu, Yufei Ding, Wei He, Yuan Xie, Luping Shi:
Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. IEEE J. Solid State Circuits 55(8): 2228-2246 (2020)- [c9]Maohua Zhu, Yuan Xie:
Taming Unstructured Sparsity on GPUs via Latency-Aware Optimization. DAC 2020: 1-6 - [c8]Zhaodong Chen, Mingyu Yan, Maohua Zhu, Lei Deng, Guoqi Li, Shuangchen Li, Yuan Xie:
fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU. ICCAD 2020: 60:1-60:9
2010 – 2019
- 2019
- [c7]Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie:
Dynamic Sparse Graph for Efficient Deep Learning. ICLR (Poster) 2019 - [c6]Maohua Zhu, Tao Zhang, Zhenyu Gu, Yuan Xie:
Sparse Tensor Core: Algorithm and Hardware Co-Design for Vector-wise Sparse Neural Networks on Modern GPUs. MICRO 2019: 359-371 - 2018
- [j1]Maohua Zhu, Youwei Zhuo, Chao Wang, Wenguang Chen, Yuan Xie:
Performance Evaluation and Optimization of HBM-Enabled GPU for Data-Intensive Applications. IEEE Trans. Very Large Scale Integr. Syst. 26(5): 831-840 (2018) - [i3]Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Stephen W. Keckler, Yuan Xie:
Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training. CoRR abs/1806.00512 (2018) - [i2]Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie:
Dynamic Sparse Graph for Efficient Deep Learning. CoRR abs/1810.00859 (2018) - 2017
- [c5]Maohua Zhu, Youwei Zhuo, Chao Wang, Wenguang Chen, Yuan Xie:
Performance evaluation and optimization of HBM-Enabled GPU for data-intensive applications. DATE 2017: 1245-1248 - 2016
- [c4]Junli Gu, Yibing Liu, Yuan Gao, Maohua Zhu:
OpenCL caffe: Accelerating and enabling a cross platform machine learning framework. IWOCL 2016: 8:1-8:5 - [i1]Maohua Zhu, Liu Liu, Chao Wang, Yuan Xie:
CNNLab: a Novel Parallel Framework for Neural Networks using GPU and FPGA-a Practical Study with Trade-off Analysis. CoRR abs/1606.06234 (2016) - 2014
- [c3]Junli Gu, Maohua Zhu, Zhitao Zhou, Feng Zhang, Zhen Lin, Qianfeng Zhang, Maurício Breternitz:
Implementation and evaluation of deep neural networks (DNN) on mainstream heterogeneous systems. APSys 2014: 12:1-12:7 - 2012
- [c2]Chenxi Wang, Kang Kang, Maohua Zhu, Yangdong Deng:
A Polyhedral Modeling Based Source-to-Source Code Optimization Framework for GPGPU. IPDPS Workshops 2012: 1964-1970 - 2011
- [c1]Shuai Mu, Chenxi Wang, Ming Liu, Dongdong Li, Maohua Zhu, Xiaoliang Chen, Xiang Xie, Yangdong Deng:
Evaluating the potential of graphics processors for high performance embedded computing. DATE 2011: 709-714
Coauthor Index
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