|
Activity Number:
|
485
|
|
Type:
|
Roundtables
|
|
Date/Time:
|
Wednesday, August 5, 2009 : 12:30 PM to 1:50 PM
|
|
Sponsor:
|
Section on Physical and Engineering Sciences
|
| Abstract - #305458 |
|
Title:
|
Parallel Statistical Computing with R
|
|
Author(s):
|
Hao Yu*+
|
|
Companies:
|
University of Western Ontario
|
|
Address:
|
Dept of Stats and Act Sci, London, ON, N6A 5B7, Canada
|
|
Keywords:
|
Parallel Computing ; R ; MPI ; Simulation ; Cluster ; High Performance
|
|
Abstract:
|
If you are using R on either Windows, Mac OS, or Linux (or Unix) platforms and want to find a way to speed up computational time (image finishing within one day instead of one month) and/or to process large data sets at a time, you come to the right place. This roundtable discusses how to use parallel computing with R to archive many objectives. Topics include but are not limited to: Why do we need parallel computing? Existing parallel computing packages for R. How do we set up a proper parallel computing environment? Is parallel computing programming too hard for me?
|
