NnmfPack was conceived for efficiently solving Non-negative matrix factorization problems. NnmfPack is a collection of numerical routines written in C/CUDA. NnmfPack was designed for Linux environments, and optimized for shared memory architectures, including standard multicore x86 architecture (CPU), Intel Xeon Phi (Intel MIC architecture) and NVIDIA Fermi/Kepler architectures. OpenMP, CUDA and Intel’s tools have been used in its development. It also provides executable examples for solving problems directly from the command line and .mex files for using the routines in Matlab and GNU Octave.

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  1. San Juan, P.; Vidal, A. M.; Garcia-Molla, V. M.: Updating/downdating the NonNegative Matrix Factorization (2017)