Maohua Zhu

According to our database, Maohua Zhu authored at least 12 papers between 2011 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation.

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

IEEE J. Solid State Circuits, 2020

fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU.

Zhaodong Chen, Mingyu Yan, Maohua Zhu, Lei Deng, Guoqi Li, Shuangchen Li, Yuan Xie

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Taming Unstructured Sparsity on GPUs via Latency-Aware Optimization.

Maohua Zhu, Yuan Xie

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Sparse Tensor Core: Algorithm and Hardware Co-Design for Vector-wise Sparse Neural Networks on Modern GPUs.

Maohua Zhu, Tao Zhang, Zhenyu Gu, Yuan Xie

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

Dynamic Sparse Graph for Efficient Deep Learning.

Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Performance Evaluation and Optimization of HBM-Enabled GPU for Data-Intensive Applications.

Maohua Zhu, Youwei Zhuo, Chao Wang, Wenguang Chen, Yuan Xie

IEEE Trans. Very Large Scale Integr. Syst., 2018

Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training.

Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Stephen W. Keckler, Yuan Xie

CoRR, 2018

2016

CNNLab: a Novel Parallel Framework for Neural Networks using GPU and FPGA-a Practical Study with Trade-off Analysis.

Maohua Zhu, Liu Liu, Chao Wang, Yuan Xie

CoRR, 2016

OpenCL caffe: Accelerating and enabling a cross platform machine learning framework.

Junli Gu, Yibing Liu, Yuan Gao, Maohua Zhu

Proceedings of the 4th International Workshop on OpenCL, 2016

2014

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

Proceedings of the Asia-Pacific Workshop on Systems, 2014

2012

A Polyhedral Modeling Based Source-to-Source Code Optimization Framework for GPGPU.

Chenxi Wang, Kang Kang, Maohua Zhu, Yangdong Deng

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

2011

Evaluating the potential of graphics processors for high performance embedded computing.

Shuai Mu, Chenxi Wang, Ming Liu, Dongdong Li, Maohua Zhu, Xiaoliang Chen, Xiang Xie, Yangdong Deng

Proceedings of the Design, Automation and Test in Europe, 2011