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An unsupervised parallel genetic cluster algorithm for graphics processing units

D. Hendricks, D. Cieslakiewicz, D. Wilcox, T. Gebbie

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Tags: Clustering, Computational finance, CUDA, Genetic programming, nVidia, nVidia GeForce 560 Ti, nVidia GeForce 660 Ti, nVidia GeForce GTX 660 M

March 23, 2014 by hgpu

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high performance computing on graphics processing units: hgpu.org

An unsupervised parallel genetic cluster algorithm for graphics processing units

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clMF: A fine-grained and portable alternating least squares algorithm for parallel matrix factorization

NengoDL: Combining deep learning and neuromorphic modelling methods

Marian: Cost-effective High-Quality Neural Machine Translation in C++

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HXTSort: a single header library including lightning fast Parallel Radix Sort macros

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The Third International Workshop on GPU Computing and AI (GCA), 2018

The 5th International Conference on Power and Energy Systems Engineering (CPESE), 2018

The 10th International Conference on Information Management and Engineering (ICIME), 2018

The 4th International Conference on Control Science and Systems Engineering (ICCSSE), 2018

The 2018 International Conference on Cloud Computing and Internet of Things (CCIOT’18), 2018