By Topic

On Parallelizing Universal Kriging Interpolation Based on OpenMP

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Tangpei Cheng ; Sch. of Inf. Eng., China Univ. of Geosci. (Beijing), Beijing, China ; Dandan Li ; Qun Wang

Kriging is one of the important interpolation methods in geostatistics, which has been widely applied in engineering project. In this paper, we present an efficient method for the parallelization of universal Kriging interpolation on shared memory multiprocessors. By using OpenMP directives, we implement a portable parallel algorithm, which enables an incremental approach to add parallelism, without modifying the rest part of sequential code. To achieve optimal performance, the parallel grain size has been considered and analyzed. Numerical experiments have been carried out on two multicore windows workstations, the results of which demonstrate this method could enhance the overall performance significantly.

Published in:

Distributed Computing and Applications to Business Engineering and Science (DCABES), 2010 Ninth International Symposium on

Date of Conference:

10-12 Aug. 2010