Nonnegative matrix factorization

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NMF-mGPU: non-negative matrix factorization on multi-GPU systems

Edgardo Mejia-Roa, Daniel Tabas-Madrid, Javier Setoain, Carlos Garcia, Francisco Tirado, Alberto Pascual-Montano

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Factorization, GPU cluster, MPI, Nonnegative matrix factorization, nVidia, Package, Tesla C1060

February 19, 2015 by hgpu

GPU-Accelerated Non-negative Matrix Factorization for Text Mining

Volodymyr Kysenko, Karl Rupp, Oleksandr Marchenko, Siegfried Selberherr, Anatoly Anisimov

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Computer science, Factorization, Nonnegative matrix factorization, nVidia, nVidia GeForce GTX 470, OpenCL, Text mining

August 1, 2012 by hgpu

Efficient Parallel Nonnegative Least Squares on Multicore Architectures

Yuancheng Luo, Ramani Duraiswami

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Tags: Algorithms, Computer science, CUDA, Factorization, Nonnegative matrix factorization, nVidia, Package, Tesla C2050

November 28, 2011 by hgpu

Nonnegative Tensor Factorization Accelerated Using GPGPU

Jukka Antikainen, Jiri Havel, Radovan Josth, Adam Herout, Pavel Zemcik, Markku Hauta-Kasari

Tags: Computer science, CUDA, Nonnegative matrix factorization, nVidia

July 2, 2011 by hgpu

Iris recognition on GPU with the usage of Non-Negative Matrix Factorization

Petr Gajdos, Jan Platos, Pavel Moravec

Tags: Computer science, Image recognition, Nonnegative matrix factorization

June 16, 2011 by hgpu

Scaling IDS construction based on Non-negative Matrix factorization using GPU computing

Jan Platos, Pavel Kromer, Vaclav Snasel, Ajith Abraham

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Tags: Computer science, CUDA, Nonnegative matrix factorization, nVidia, Security

May 12, 2011 by hgpu

Large data real-time classification with Non-negative Matrix Factorization and Self-Organizing Maps on GPU

J. Platos, P. Gajdos

Tags: Computer science, Nonnegative matrix factorization, Security, Self-organizing map

May 3, 2011 by hgpu

Graphics Processing Units and High-Dimensional Optimization

Hua Zhou, Kenneth Lange, Marc A. Suchard

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Tags: Block relaxation, CUBLAS, CUDA, EM and MM algorithms, Mathematics, Multidimensional scaling, Nonnegative matrix factorization, nVidia, nVidia GeForce GTX 280, PET scanning, Statistics

October 30, 2010 by hgpu

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high performance computing on graphics processing units: hgpu.org

NMF-mGPU: non-negative matrix factorization on multi-GPU systems

GPU-Accelerated Non-negative Matrix Factorization for Text Mining

Efficient Parallel Nonnegative Least Squares on Multicore Architectures

Nonnegative Tensor Factorization Accelerated Using GPGPU

Iris recognition on GPU with the usage of Non-Negative Matrix Factorization

Scaling IDS construction based on Non-negative Matrix factorization using GPU computing

Large data real-time classification with Non-negative Matrix Factorization and Self-Organizing Maps on GPU

Graphics Processing Units and High-Dimensional Optimization

Recent source codes

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gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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