Paper Info
Title
Poster: Bringing Task and Data Parallelism to Analysis of Climate Model Output
Abstract
Climate models are both outputting larger and larger amounts of data and are doing it on more sophisticated numerical grids. The tools climate scientists have used to analyze climate output, an essential component of climate modeling, are single threaded and assume rectangular structured grids in their analysis algorithms. We are bringing both task- and data-parallelism to the analysis of climate model output. We have created a new data-parallel library, the Parallel Gridded Analysis Library (ParGAL) which can read in data using parallel I/O, store the data on a compete representation of the structured or unstructured mesh and perform sophisticated analysis on the data in parallel. ParGAL has been used to create a parallel version of a script-based analysis and visualization package. Finally, we have also taken current workflows and employed task-based parallelism to decrease the total execution time.
Year
DOI
Venue
2012
10.1109/SC.Companion.2012.283
SC Companion
Keywords
DocType
Citations 
climate,parallel analysis,unstructured grids
Conference
0
PageRank 
References 
Authors
0.34
0
25
Name
Order
Citations
PageRank
Robert L. Jacob100.34
Jayesh Krishna2302.71
Xiabing Xu3654.65
Sheri Mickelson4222.06
Tim Tautges551.49
Mike Wilde635122.09
Robert Latham736526.39
Foster Ian8229382663.24
Robert Ross92717173.13
Mark Hereld1054536.44
Jay Walter Larson11192.87
Pavel B. Bochev1238267.69
Kara Peterson13164.78
Mark A. Taylor144710.07
Karen Schuchardt15804.84
Jain Yin1600.68
Don Middleton1712312.58
Mary Haley1831.13
David Brown1930.79
W. Huang2026733.97
Dennis G. Shea2151.18
Richard Brownrigg2231.13
Mariana Vertenstein23847.17
Kwan-Liu Ma2400.34
Jingrong Xie2501.35