dcsimg

REvolution Computing&aposs David Henderson Chairs &aposHigh Performance&apos Session at 2008 useR! Conference

NEW HAVEN, Conn., Aug. 6 /PRNewswire/ -- REvolution Computing's Director of Community, Dr. David Henderson, will chair a session entitled "High Performance III" at this year's useR! Conference in Germany August 12-14. The discussion will focus on the challenges associated with using R across multiprocessor or multicore computers.

NEW HAVEN, Conn., Aug. 6 /PRNewswire/ — REvolution Computing's Director of Community, Dr. David Henderson, will chair a session entitled "High Performance III" at this year's useR! Conference in Germany August 12-14. The discussion will focus on the challenges associated with using R across multiprocessor or multicore computers.

"Base R does not natively support parallel processing, forcing users to wait while computationally intensive work is performed on a single processor or core," said David Henderson. "At a time when R users have increasingly greater access to multiprocessors it is especially important to now understand how R users can enhance analyses using parallel processing," Henderson added.

In addition, Dr. Henderson will present an overview of REvolution Computing's technology for parallelizing R scripts, High Performance Computing with NetWorkSpaces for R. This technology has been freely available for the R community on CRAN and is now available for the first time as part of REvolution's commercial ParallelR(TM) product.

NetWorkSpaces features shared workspaces along with a web interface that displays the workspaces and their contents, a helpful feature when debugging or developing a program or monitoring the progress of an application. NetWorkSpaces is easy to learn, accessible from many development environments, and deployable on ad hoc collections of CPUs.

Also newly added to ParallelR, REvolution Computing has contributed an optimized transport option based on NetWorkSpaces to the SNOW package on CRAN and has worked with Max Kuhn of Pfizer Research to develop and contribute caretNWS, a parallel classification and regression training package.

To learn more about REvolution Computing, please visit www.revolution-computing.com.

About REvolution Computing

New Haven, Connecticut-based REvolution Computing is the leading commercial provider of software and support for the statistical computing language known as "R." Our products enable statisticians, scientists and others to derive meaning from large sets of mission-critical data in record time, and to create predictive models that help to answer their most difficult questions. REvolution Computing works closely with the R community to incorporate the latest developments in open source R, and with our clients to support their efforts to produce groundbreaking innovations in life sciences, financial services, defense technology and other industries where high-level analytics are crucial to success. At REvolution Computing, "We do the math."

SOURCE REvolution Computing

Comments are closed.