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・ Distributed object
・ Distributed object communication
・ Distributed object middleware
・ Distributed Objects Everywhere
・ Distributed Oceanographic Data Systems
・ Distributed operating system
・ Distributed operations
・ Distributed Overlay Virtual Ethernet
・ Distributed parameter system
・ Distributed power
・ Distributed Practice
・ Distributed presence
・ Distributed Processing Technology
・ Distributed Proofreaders
・ Distributed propulsion
Distributed R
・ Distributed ray tracing
・ Distributed Replicated Block Device
・ Distributed republic
・ Distributed Ruby
・ Distributed scaffolding
・ Distributed search engine
・ Distributed Sender Blackhole List
・ Distributed shared memory
・ Distributed social network
・ Distributed Social Networking Protocol
・ Distributed source coding
・ Distributed Split Multi-Link Trunking
・ Distributed switching
・ Distributed System Security Architecture


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Distributed R : ウィキペディア英語版
Distributed R

Distributed R is an open source, high-performance platform for the R language. It splits tasks between multiple processing nodes to reduce execution time and analyze large data sets. Distributed R enhances R by adding distributed data structures, parallelism primitives to run functions on distributed data, a task scheduler, and multiple data loaders. It is mostly used to implement distributed versions of machine learning tasks. Distributed R is written in C++ and R, and retains the familiar look and feel of R. As of February 2015, Hewlett-Packard (HP) provides enterprise support for Distributed R with proprietary additions such as a fast data loader from the Vertica database.
==History==
Distributed R was begun in 2011 by Indrajit Roy, Shivaram Venkataraman, Alvin AuYoung, and Robert S. Schreiber as a research project at HP Labs. It was open sourced in 2014 under the GPLv2 license and is available at GitHub.
In February 2015, Distributed R reached its first stable version 1.0, along with enterprise support from HP.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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