Evaluating the potential of graphics processors for high performance embedded computing. - Shuai Mu 002; Chenxi Wang; Ming Liu; Dongdong Li; Maohua Zhu; Xiaoliang Chen; Xiang Xie; Yangdong Deng (DATE, 2011)

A Polyhedral Modeling Based Source-to-Source Code Optimization Framework for GPGPU. - Chenxi Wang; Kang Kang; Maohua Zhu; Yangdong Deng (IPDPS Workshops, 2012)

Implementation and evaluation of deep neural networks (DNN) on mainstream heterogeneous systems. - Junli Gu; Maohua Zhu; Zhitao Zhou; Feng Zhang; Zhen Lin; Qianfeng Zhang; Maurício Breternitz (APSys, 2014)

OpenCL caffe: Accelerating and enabling a cross platform machine learning framework. - Junli Gu; Yibing Liu; Yuan Gao; Maohua Zhu (IWOCL, 2016)

CNNLab: a Novel Parallel Framework for Neural Networks using GPU and FPGA-a Practical Study with Trade-off Analysis. - Maohua Zhu; Liu Liu 017; Chao Wang 003; Yuan Xie 001 (CoRR, 2016)

Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training. - Maohua Zhu; Jason Clemons; Jeff Pool; Minsoo Rhu; Stephen W. Keckler; Yuan Xie 001 (CoRR, 2018)

Performance Evaluation and Optimization of HBM-Enabled GPU for Data-Intensive Applications. - Maohua Zhu; Youwei Zhuo; Chao Wang 003; Wenguang Chen; Yuan Xie 001 (IEEE Trans. Very Large Scale Integr. Syst., 2018)

Dynamic Sparse Graph for Efficient Deep Learning. - Liu Liu 017; Lei Deng 003; Xing Hu 001; Maohua Zhu; Guoqi Li; Yufei Ding 001; Yuan Xie 001 (ICLR (Poster), 2019)

Sparse Tensor Core: Algorithm and Hardware Co-Design for Vector-wise Sparse Neural Networks on Modern GPUs. - Maohua Zhu; Tao Zhang 032; Zhenyu Gu; Yuan Xie 001 (MICRO, 2019)

Taming Unstructured Sparsity on GPUs via Latency-Aware Optimization. - Maohua Zhu; Yuan Xie 001 (DAC, 2020)

fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU. - Zhaodong Chen; Mingyu Yan; Maohua Zhu; Lei Deng 003; Guoqi Li; Shuangchen Li; Yuan Xie 001 (ICCAD, 2020)

Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. - Lei Deng 003; Guanrui Wang; Guoqi Li; Shuangchen Li; Ling Liang; Maohua Zhu; Yujie Wu 002; Zheyu Yang; Zhe Zou; Jing Pei; Zhenzhi Wu; Xing Hu 001; et al. (IEEE J. Solid State Circuits, 2020)