Hi. I'm Yuduo!

Master's Student in Computer Engineering
Research: Parallel Computing (GPGPU), Graph Analytics
Advisor: Prof. John D. Owens
Department of Electrical and Computer Engineering
University of California, Davis

  • Resume in TXT format.

  • Recent Projects

    Gunrock - High-Performance Graph Primitives on GPUs

    Developer of Gunrock, a high-performance CUDA library for graph-processing designed specifically for GPUs. It uses a high-level, bulk-synchronous, data-centric abstraction focused on operations on a vertex or edge frontier. Currently focus on Performance Modeling/Characterizing and improving the framework to better support mutable and more advanced graph primitives. For more details, please check out: [ Why-Gunrock | GitHub-HomePage | PPoPP-Poster | Publications ]

    Scene Classification based on Deep Convolutional Neural Networks (CNNs)

    Collaborated with Yangzihao Wang, together we implemented a novel scene classification method which combines Convolutional Neural Network (CNN) and Spatial Pyramid Pooling to generate high-level context-aware features. We achieved better recognition rate than the state-of-the-art method on the challenging MIT Indoor-67 dataset using only the deep features trained from ImageNet.

    Parallel Minimum Spanning Tree (MST) Algorithm using Gunrock

    Implemented parallel Boruvka's minimum spanning tree (MST) algorithm using Gunrock's data-centric programming model. Achieved up to 120X speedup against the serial CPU Boost graph library (BGL) implementation for real-world road networks, open street maps (OSMs), Delaunay graphs, and many long-diameter fully-connected synthetic datasets.

    Mobile IPv6 Protocol using Filtering Technology

    Senior Design Project, IPv6 Research Laboratory, M.U.S.T., Spring 2013

    Designed and implemented mobile IPv6 protocol using filtering technology. Upgraded a NDIS filter driver to filter bypassing data packets to extend roaming capabilities and merged into standard IPv6 protocol.

    Publications

    Yuduo Wu, Yangzihao Wang, Yuechao Pan, Carl Yang, and John D. Owens. Performance Characterization of High-Level Programming Models for GPU Graph Analytics, In IEEE International Symposium on Workload Characterization (IISWC2015), October 2015 [ bib | http ]

    Yuechao Pan, Yangzihao Wang, Yuduo Wu, Carl Yang, and John D. Owens. Multi-GPU Graph Analytics. CoRR, abs/1504.04804, Apr. 2015. [ bib | arXiv ]

    Yangzihao Wang, Andrew Davidson, Yuechao Pan, Yuduo Wu, Andy Riffel, and John D. Owens. Gunrock: A high-performance graph processing library on the GPU. In Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2015, pages 265-266, New York, NY, USA, 2015. ACM.[ bib | poster | arXiv ]

    Congzhong Wu, Jie Wang, James Y.Wang, and Yuduo Wu. Study of functional verification for control endpoint of USB 3.0 In Journal of Electronic Measurement and Instrument, 2012, 26 (6)

    Contact Me

  • Address: Department of Electrical and Computer Engineering, One Shields Avenue Davis, CA 95616
  • Email: yudwu [at] ucdavis [dot] edu
  • Phone: (530) 574 - 9209
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