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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: 1 day 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.