This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 189
Type: Invited
Date/Time: Monday, August 2, 2010 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #308601
Title: Parallel Statistical Computing: Are We Embracing the Scalable Concurrency Revolution?
Author(s): George Ostrouchov*+
Companies: Oak Ridge National Laboratory
Address: 106 Orchard Circle, Oak Ridge, TN, 37830,
Keywords: parallel computing ; GPU ; software engineering ; algorithms ; distributed computing

Increasing processor clock rates enabled increases in statistical computing complexity and enabled the processing of larger data sets for many years. Statistical software would just run faster on a new chip with a faster clock rate. This free ride is now over until we fully embrace the concurrency revolution and the development of scalable parallel algorithms. The last five years have seen stagnant clock rates and more processors. Why? There are fundamental reasons for this change and the future is full of multiple cores and specialized co-processors. Serial algorithms get little benefit from a second processor. Scalable parallel algorithms now get a free ride. Where will they come from and who should provide them? This poster presentation will attempt to answer some of these questions. The new computing landscape presents both challenges and opportunities for statistics.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2010 program

2010 JSM Online Program Home

For information, contact or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.