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FlashR: R-Programmed Parallel and Scalable Machine Learning using SSDs [article]

Da Zheng, Disa Mhembere, Joshua T. Vogelstein, Carey E. Priebe, Randal Burns
2017 arXiv   pre-print

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2016 pre-print
arXiv:1604.06414v1 fatcat:uptccg5nqzfs3mttr4gjfhttvy
2016 pre-print
arXiv:1604.06414v3 fatcat:fgrere25ijc67nbqlpn6wakyn4
2016 pre-print
arXiv:1604.06414v2 fatcat:sd7y3422hnc5zlihaf2jkr2orm
R is one of the most popular programming languages for statistics and machine learning, but the R framework is relatively slow and unable to scale to large datasets.  ...  As such, FlashR parallelizes and scales existing R code with little/no modification.  ...  FlashR simplifies the programming effort of writing parallel and out-of-core implementations for large-scale machine learning.  ... 
arXiv:1604.06414v4 fatcat:dsobnkm2tbbn5oe4h4orqzdzfa
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Da Zheng, Disa Mhembere, Joshua T. Vogelstein, Carey E. Priebe, Randal Burns. "FlashR: R-Programmed Parallel and Scalable Machine Learning using SSDs." arXiv (2017)