Posts Tagged ‘ high-performance computing ’

Benchmarking random-number generation from C++

August 22, 2012
By

If you're writing C++ code and want to generate random numbers, you might not be aware that R provides an API to call the R RNG functionality directly. The Rcpp package's "syntactic sugar" feature makes this process easier, by automating the process of translating a subset of ordinary R code into compiled C++ code. That means you can write...

Read more »

Ryan Rosario on Parallel programming in R

August 17, 2012
By

Earlier this year data scientist Ryan Rosario gave a talk on parellel computing with R to the Los Angeles R User Group, and he recently made the slides from the talk available online. They're a great resource for anyone looking to make use of multi-processor systems a Hadoop based architechure to speed computations with big data. Ryan's talk was...

Read more »

R Journal, June 2012

July 20, 2012
By

The June 2012 issue of the R Journal, the peer-reviewed open-journal about R packages and applications of R, is now available. This issue includes articles about: Efficiently calling C functions from R without the need for wrapper code Using clusters of Macs running Apple Xgrid for parallel distributed processing with R Semi-automated text classification with the 'maxent' package Two...

Read more »

New Data Science Packages Coming To Computational Journalism Server

May 30, 2012
By

I’ve just received an announcement from Michael Lang that packages BatchJobs and BatchExperiments have been added to the Comprehensive R Archive Network (CRAN). From the announcement: The package BatchJobs implements the basic objects and procedu...

Read more »

Accelerating analytics at MSU with Revolution R Enterprise

February 3, 2012
By

Erik Sigur, Information Technologist for the Department of Statistics and Probability at Michigan State University, writes at ReadWriteWeb about using Revolution R Enterprise to provide high-performance computation in R to the researchers in his department: Our search for a more effective version of R ultimately brought us to a product called Revolution R Enterprise by Revolution Analytics, which provides...

Read more »

Interview with Kai Chew, CloudStat

December 31, 2011
By

Here is an interview with Kai Chew, Founder of Cloudstat. CloudStat is developing a cloud-based statistical platform to help researchers who want to make sense of data to do statistical analysis collaboratively with its high performance computing infra...

Read more »

ConPA uses cloudnumbers.com as calculation backend

November 25, 2011
By
ConPA uses cloudnumbers.com as calculation backend

ConPA is an asset allocation application using the classic Markowitz approach. For the calculations the open-source statistical programming language R is used. R scripts are executed on cloudnumbers.com’s computer clusters in the Cloud and the results are displayed by ConPA frontend. ConPA allows to set the investment date of the portfolio, the target return and

Read more »

Announcing Revolution R Enterprise 5.0

November 15, 2011
By

We're proud to announce the latest update to the enhanced, commercial-grade distribution of R, Revolution R Enterprise 5.0. With each new release, Revolution R Enterprise adds more capabilities to open-source R, to make R users more productive, to improve performance of R programs, to support Big Data analytics, and to provide servers and APIs for enterprise deployment. New features...

Read more »

The next generation of parallel R

November 2, 2011
By
The next generation of parallel R

In view of open-source parallel computing with R this week presents a big step to the future. R 2.14.0 was released at October 31th, 2011. Now, R base ships with a parallel computing package called “parallel”.  library(parallel) It combines advantages of the packages multicore and snow and it contains support for multiple RNG streams. The

Read more »

Batch Processing vs. Interactive Sessions

October 26, 2011
By
Batch Processing vs. Interactive Sessions

We introduced batch processing 3 weeks ago. Many people asked about differences and benefits of batch processing or interactive sessions. Lets start with the definitions: Batch Processing / Batch Jobs: Batch processing is the execution of a series of programs or only one task on a computer environment without manual intervention. All data and commands

Read more »