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

ABSTRACT:

Background

In the last few years, the Non-negative Matrix Factorization ( NMF ) technique has gained a great interest among the Bioinformatics community, since it is able to extract interpretable parts from high-dimensional datasets. However, the computing time required to process large data matrices may become impractical, even for a parallel application running on a multiprocessors cluster. In this paper, we present NMF-mGPU, an efficient and easy-to-use implementation of the NMF algorithm that takes advantage of the high computing performance delivered by Graphics-Processing Units ( GPUs ). Driven by the ever-growing demands from the video-games industry, graphics cards usually provided in PCs and laptops have evolved from simple graphics-drawing platforms into high-performance

SUBMITTER: Mejia-Roa E 

PROVIDER: S-EPMC4339678 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature