Flashlite: A High Performance Machine for Data Intensive Science ARC LIEF LE140100061 (RES13/967)

Funding: 2014: $30,000

Project Member(s): Zhang, C., Chen, L.

Funding or Partner Organisation: Australian Research Council (ARC Linkage Infrastructure)
University of Queensland (University of Queensland Internal Funds)

Start year: 2014

Summary: The 21st century has been described as the century of data. Experts predict an exponential growth in the amount of data that will be captured, generated and archived. Australia has made significant progress towards addressing some of the opportunities and infrastructure challenges posed by such rapid increase in data volumes. However, whilst important, these investments do not address the growing need to process data. Conventional supercomputers are unable to meet the challenges of the data explosion. The large gap in latency and bandwidth between the processor, memory and disk subsystems means that the processor is often idle waiting to fetch data. This LIEF proposal will build a platform focused on data intensive science.

Publications:

Zhang, L, Zhang, Q, Du, B, Huang, X, Tang, YY & Tao, D 2018, 'Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images', IEEE Transactions on Cybernetics, vol. 48, no. 1, pp. 16-28.
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Chen, Z, You, X, Zhong, B, Li, J & Tao, D 2017, 'Dynamically Modulated Mask Sparse Tracking', IEEE Transactions on Cybernetics, vol. 47, no. 11, pp. 3706-3718.
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Du, B, Zhang, M, Zhang, L, Hu, R & Tao, D 2017, 'PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images', IEEE Transactions on Multimedia, vol. 19, no. 1, pp. 67-79.
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Fang, M, Yin, J, Hall, LO & Tao, D 2017, 'Active Multitask Learning With Trace Norm Regularization Based on Excess Risk', IEEE Transactions on Cybernetics, vol. 47, no. 11, pp. 3906-3915.
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Gui, J, Sun, Z, Ji, S, Tao, D & Tan, T 2017, 'Feature Selection Based on Structured Sparsity: A Comprehensive Study', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 7, pp. 1490-1507.
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Hu, W, Tao, D, Zhang, W, Xie, Y & Yang, Y 2017, 'The Twist Tensor Nuclear Norm for Video Completion', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 12, pp. 2961-2973.
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Qiao, M, Liu, L, Yu, J, Xu, C & Tao, D 2017, 'Diversified dictionaries for multi-instance learning', Pattern Recognition, vol. 64, pp. 407-416.
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Qiao, M, Xu, RYD, Bian, W & Tao, D 2017, 'Fast Sampling for Time-Varying Determinantal Point Processes', ACM Transactions on Knowledge Discovery from Data, vol. 11, no. 1, pp. 1-24.
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Qu, Y, Lin, L, Shen, F, Lu, C, Wu, Y, Xie, Y & Tao, D 2017, 'Joint Hierarchical Category Structure Learning and Large-Scale Image Classification', IEEE Transactions on Image Processing, vol. 26, no. 9, pp. 4331-4346.
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Tian, D & Tao, D 2017, 'Global Hashing System for Fast Image Search', IEEE Transactions on Image Processing, vol. 26, no. 1, pp. 79-89.
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Xie, L, Tao, D & Wei, H 2017, 'Joint Structured Sparsity Regularized Multiview Dimension Reduction for Video-Based Facial Expression Recognition', ACM Transactions on Intelligent Systems and Technology, vol. 8, no. 2, pp. 1-21.
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Xu, Z, Tao, D, Huang, S & Zhang, Y 2017, 'Friend or Foe: Fine-Grained Categorization With Weak Supervision', IEEE Transactions on Image Processing, vol. 26, no. 1, pp. 135-146.
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Yu, J, Yang, X, Gao, F & Tao, D 2017, 'Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking', IEEE Transactions on Cybernetics, vol. 47, no. 12, pp. 4014-4024.
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Zhang, S, Lan, X, Yao, H, Zhou, H, Tao, D & Li, X 2017, 'A Biologically Inspired Appearance Model for Robust Visual Tracking', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 10, pp. 2357-2370.
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Cai, B, Xu, X, Jia, K, Qing, C & Tao, D 2016, 'DehazeNet: An End-to-End System for Single Image Haze Removal', IEEE Transactions on Image Processing, vol. 25, no. 11, pp. 5187-5198.
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Cheng, J, Tao, D, Quan, Y, Wong, DWK, Cheung, GCM, Akiba, M & Liu, J 2016, 'Speckle Reduction in 3D Optical Coherence Tomography of Retina by A-Scan Reconstruction', IEEE Transactions on Medical Imaging, vol. 35, no. 10, pp. 2270-2279.
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Du, B, Zhang, Y, Zhang, L & Tao, D 2016, 'Beyond the Sparsity-Based Target Detector: A Hybrid Sparsity and Statistics-Based Detector for Hyperspectral Images', IEEE Transactions on Image Processing, vol. 25, no. 11, pp. 5345-5357.
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Gong, C, Tao, D, Maybank, SJ, Liu, W, Kang, G & Yang, J 2016, 'Multi-Modal Curriculum Learning for Semi-Supervised Image Classification', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 7, pp. 3249-3260.
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He, Z, Li, X, You, X, Tao, D & Tang, YY 2016, 'Connected Component Model for Multi-Object Tracking', IEEE Transactions on Image Processing, vol. 25, no. 8, pp. 3698-3711.
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Hu, Y, Wang, N, Tao, D, Gao, X & Li, X 2016, 'SERF: A Simple, Effective, Robust, and Fast Image Super-Resolver From Cascaded Linear Regression', IEEE Transactions on Image Processing, vol. 25, no. 9, pp. 4091-4102.
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Li, Q, Xie, B, You, J, Bian, W & Tao, D 2016, 'Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification', IEEE Transactions on Image Processing, vol. 25, no. 8, pp. 3801-3813.
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Liu, X, Huang, L, Deng, C, Lang, B & Tao, D 2016, 'Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search', IEEE Transactions on Image Processing, vol. 25, no. 10, pp. 4514-4524.
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Shen, F, Zhou, X, Yang, Y, Song, J, Shen, HT & Tao, D 2016, 'A Fast Optimization Method for General Binary Code Learning', IEEE Transactions on Image Processing, vol. 25, no. 12, pp. 5610-5621.
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Wang, R & Tao, D 2016, 'Non-Local Auto-Encoder With Collaborative Stabilization for Image Restoration.', IEEE Trans. Image Process., vol. 25, no. 5, pp. 2117-2129.
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Yu, B, Fang, M & Tao, D 2016, 'Per-Round Knapsack-Constrained Linear Submodular Bandits', Neural Computation, vol. 28, no. 12, pp. 2757-2789.
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Li, Q, Qiao, M, Bian, W & Tao, D 1970, 'Conditional Graphical Lasso for Multi-label Image Classification', 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, Las Vegas, Nevada, United States, pp. 2977-2986.
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Liu, X, Fan, X, Deng, C, Li, Z, Su, H & Tao, D 1970, 'Multilinear Hyperplane Hashing', 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, Las Vegas, Nevada, United States, pp. 5119-5127.
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Huang, S, Xu, Z, Tao, D & Zhang, Y 1970, 'Part-Stacked CNN for Fine-Grained Visual Categorization', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Conference on Computer Vision and Pattern Recognition, IEEE Xplore, Las Vegas, Nevada, pp. 1173-1182.
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Wang, H, Zhang, P, Tsang, I, Chen, L & Zhang, C 1970, 'Defragging Subgraph Features for Graph Classification', Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, CIKM'15: 24th ACM International Conference on Information and Knowledge Management, ACM, Melbourne, VIC, Australia, pp. 1687-1690.
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Keywords: data intensive science, high performance computing

FOR Codes: Information and Communication Services not elsewhere classified, Computer Hardware not elsewhere classified, Energy-efficient computing, Other information and communication services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.