https://github.com/flashxio/FlashR

An R package extends R to process tera-scale datasets in parallel and out of core automatically.
https://github.com/flashxio/FlashR

Last synced: 3 days ago
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An R package extends R to process tera-scale datasets in parallel and out of core automatically.

• Host: GitHub
• URL: https://github.com/flashxio/FlashR
• Owner: flashxio
• Created: 2016-09-20T04:12:11.000Z (about 8 years ago)
• Default Branch: release
• Last Pushed: 2017-08-16T19:33:26.000Z (about 7 years ago)
• Last Synced: 2024-08-03T06:03:25.444Z (3 months ago)
• Language: R
• Homepage: http://flashx.io/
• Size: 1.18 MB
• Stars: 16
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

        
FlashR is an R package that accelerate the existing R matrix functions to process

tera-scale datasets at the lightning speed.

FlashR overrides many R matrix functions in the R "base" package so that users

can execute many existing R code in FlashR with no or little modification.

FlashR parallelizes all matrix operations automatically and scales to large datasets

by storing matrices on solid-state drives (SSDs).

It executes many matrix operations together to achieve performance comparable

to optimized C implementations.

## Installation

To install from Github directly, 

```

git clone --recursive https://github.com/flashxio/FlashR.git

cd FlashR

R CMD build .

R CMD INSTALL FlashR_0.1-0.tar.gz

```

To install from the tar file directly,

```

R -e "install.packages("https://github.com/flashxio/FlashR/releases/download/FlashR-latest/FlashR.tar.gz", repos=NULL)"

```

However, the tar file may contain a less up-to-date version.

**Note: FlashR relies on some Linux and R packages.** Please follow the instructions

[here](https://flashxio.github.io/FlashX-doc/FlashX-Quick-Start-Guide.html)

for more details of installing FlashR.

## Documentation

The [programming tutorial](https://github.com/icoming/FlashX/wiki/FlashR-programming-tutorial)

shows all of the features in FlashR.

Please visit http://flashx.io/ for more documentation.