Research on the System of Parallel Computing in R

DOI

10.2991/icemie-16.2016.43How to use a DOI?

Keywords

big data; R language; parallel computing

Abstract

With the advent of big data, the research of data analysis software become the concern of academia and industry in big data. In order to let R to adapt to the big data processing, must break through to parallel computing and memory limit restrictions. In this paper, by analyzing the Rhdoop package, bigmemory package, gputools package and so on, discuss the system of parallel computing in R.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xianyi Cheng
AU  - Lu Xie
AU  - Quan Shi
AU  - Ping Qu
PY  - 2016/04
DA  - 2016/04
TI  - Research on the System of Parallel Computing in R
BT  - Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering
PB  - Atlantis Press
SP  - 173
EP  - 175
SN  - 2352-5401
UR  - https://doi.org/10.2991/icemie-16.2016.43
DO  - 10.2991/icemie-16.2016.43
ID  - Cheng2016/04
ER  -