REvolution R Enterprise with Parallel Processing Now Available for 64-bit Windows

Working with R Community Leaders and Microsoft, REvolution Provides More Memory and Greater Computational Speed, Plus Parallelization for Predictive Analytics Using the R Language

New Haven, CT – April 14, 2009 –REvolution Computing, the leading provider of open source predictive analytics solutions, announced the release of Revolution R Enterprise 2.0 for 64-bit Windows operating systems. The new version allows R users to handle much larger datasets and data analysis problems. It also provides improved computational speed.  In addition, REvolution R Enterprise 2.0 enables parallelization through the inclusion of Parallel R 2.0, allowing R programs to easily exploit multiple processing cores and, with the same code, to scale across clusters. http://www.revolution-computing.com/aboutus/news-room/2009/revolution-r-enterprise-with-parallel-processing-available-on-64-bit-windows.php

Commenting on the success of porting R to 64-bit Windows, Brian Ripley, Professor of Applied Statistics at the University of Oxford and member of the R Core Development Team, said, “REvolution are to be congratulated on a technical tour de force…This will bring to Windows users the freedom to use R on large problems that users of Unix-like platforms have enjoyed for several years.  We did some testing on a 32GB Windows box on behalf of a computational genetics project, and the beta was 100% reliable and comparable in performance to the Rcore 32-bit distribution but able to tackle much larger problems.” REvolution's ParallelR 2.0, included as part of REvolution R Enterprise 2.0, provides built-in parallelized routines for classification and bootstrapping statistical methods, as well as the ability to easily parallelize custom R programs.

Behind the scenes of REvolution's 64-bit Windows port of R

Windows HPC Server 2008 provides a productive, cost-effective, and high-performance computing (HPC) solution that runs on x64-bit ardware. Windows HPC Server 2008 can be deployed, managed, and extended using familiar tools and technologies. Windows HPC Server 2008 enables broader adoption of HPC by providing a rich and integrated end-user experience scaling from the desktop application to the clusters. A wide range of software vendors, in various verticals, have designed their applications to work seamlessly with Windows HPC Server 2008 so that users can submit and monitor jobs from within familiar applications without having to learn new or complex user interfaces. Developing parallel programs requires integrated development environments along with support for distributed computing standards. Visual Studio 2008 provides a comprehensive parallel programming environment for Windows HPC Server 2008. In addition to supporting OpenMP, MPI, and Web Services, Windows HPC Server 2008 also supports third-party numerical library providers, performance optimizers, compilers, and a native parallel debugger for developing and troubleshooting parallel programs. http://www.microsoft.com/hpc/en/us/overview.aspx