Maohua Zhu - RankMe

14 papers A* 2A 3Journal 5Unranked 4

Year	Rank	Type	Title / Venue / Authors
2020	A*	`conf`	Taming Unstructured Sparsity on GPUs via Latency-Aware Optimization. DAC Maohua Zhu, Yuan Xie
2020	J	`jnl`	Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. IEEE J. Solid State Circuits 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
2020	A	`conf`	fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU. ICCAD Zhaodong Chen, Mingyu Yan, Maohua Zhu, Lei Deng, Guoqi Li, Shuangchen Li, Yuan Xie
2019	—	`conf`	Dynamic Sparse Graph for Efficient Deep Learning. ICLR (Poster) Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie
2019	A*	`conf`	Sparse Tensor Core: Algorithm and Hardware Co-Design for Vector-wise Sparse Neural Networks on Modern GPUs. MICRO Maohua Zhu, Tao Zhang, Zhenyu Gu, Yuan Xie
2018	J	`jnl`	Dynamic Sparse Graph for Efficient Deep Learning. CoRR Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie
2018	J	`jnl`	Performance Evaluation and Optimization of HBM-Enabled GPU for Data-Intensive Applications. IEEE Trans. Very Large Scale Integr. Syst. Maohua Zhu, Youwei Zhuo, Chao Wang, Wenguang Chen, Yuan Xie
2018	J	`jnl`	Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training. CoRR Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Stephen W. Keckler, Yuan Xie
2017	A	`conf`	Performance evaluation and optimization of HBM-Enabled GPU for data-intensive applications. DATE Maohua Zhu, Youwei Zhuo, Chao Wang, Wenguang Chen, Yuan Xie
2016	J	`jnl`	CNNLab: a Novel Parallel Framework for Neural Networks using GPU and FPGA-a Practical Study with Trade-off Analysis. CoRR Maohua Zhu, Liu Liu, Chao Wang, Yuan Xie
2016	—	`conf`	OpenCL caffe: Accelerating and enabling a cross platform machine learning framework. IWOCL Junli Gu, Yibing Liu, Yuan Gao, Maohua Zhu
2014	—	`conf`	Implementation and evaluation of deep neural networks (DNN) on mainstream heterogeneous systems. APSys Junli Gu, Maohua Zhu, Zhitao Zhou, Feng Zhang, Zhen Lin, Qianfeng Zhang, Maurício Breternitz
2012	—	`conf`	A Polyhedral Modeling Based Source-to-Source Code Optimization Framework for GPGPU. IPDPS Workshops Chenxi Wang, Kang Kang, Maohua Zhu, Yangdong Deng
2011	A	`conf`	Evaluating the potential of graphics processors for high performance embedded computing. DATE Shuai Mu, Chenxi Wang, Ming Liu, Dongdong Li, Maohua Zhu, Xiaoliang Chen, Xiang Xie, Yangdong Deng