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Yale Professors Martin Schultz and John Emerson to Chair and Present at &aposStatistical Computing with Massive Data&apos Session at JSM 2008

NEW HAVEN, Conn., July 30 /PRNewswire/ -- Professors Martin Schultz and John "Jay" Emerson, both of Yale University, will chair and present at a session about statistical computing on large data sets at this year's Joint Statistical Meetings in Denver. Dr. Schultz, a leading expert in high performance computing and "parallelization," is REvolution Computing's chief scientist. Dr. Emerson, an assistant professor of Statistics at Yale and a developer of the "bigmemory" package in R is an advisor to REvolution Computing.

NEW HAVEN, Conn., July 30 /PRNewswire/ — Professors Martin Schultz and John "Jay" Emerson, both of Yale University, will chair and present at a session about statistical computing on large data sets at this year's Joint Statistical Meetings in Denver. Dr. Schultz, a leading expert in high performance computing and "parallelization," is REvolution Computing's chief scientist. Dr. Emerson, an assistant professor of Statistics at Yale and a developer of the "bigmemory" package in R is an advisor to REvolution Computing.

The session, scheduled for Tuesday, August 5, 2008, at 2:00pm, begins with a presentation by Dr. Emerson and Michael Kane, both of Yale University, entitled "BigmemoRy: Massive Data, Shared Memory, and Parallel Computing in R." The talk will cover the new bigmemory package which allows users to store large matrices in shared memory in UNIX environments. This presentation will be followed by:

— High-Performance Processing of Large Data Sets via Memory Mapping: A Case Study in R and C++

— Analysis of Huge Data Sets in S-Plus — BigmemoRy: Handling Massive Data in R

Antony Unwin will serve as the session discussant.

The Joint Statistical Meetings is the largest gathering of statisticians held in North America. It is held jointly with the American Statistical Association, the International Biometric Society (ENAR and WNAR), the Institute of Mathematical Statistics, and the Statistical Society of Canada. For more information please visit http://www.amstat.org/meetings/jsm/2008/.

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

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