SCHEDULE: NOV 10-16, 2012
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Bringing Task- and Data-Parallelism to Analysis of Climate Model Output
SESSION: Research Poster Reception
EVENT TYPE: Posters and Electronic Posters
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Robert Jacob, Jayesh Krishna, Xiabing Xu, Sheri Mickelson, Kara Peterson, Michael Wilde
ROOM:East Entrance
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.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Robert Jacob - Argonne National Laboratory
Jayesh Krishna - Argonne National Laboratory
Xiabing Xu - Argonne National Laboratory
Sheri Mickelson - Argonne National Laboratory
Kara Peterson - Sandia National Laboratories
Michael Wilde - Argonne National Laboratory
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Bringing Task- and Data-Parallelism to Analysis of Climate Model Output
SESSION: Research Poster Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Robert Jacob, Jayesh Krishna, Xiabing Xu, Sheri Mickelson, Kara Peterson, Michael Wilde
ROOM:East Entrance
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.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Robert Jacob - Argonne National Laboratory
Jayesh Krishna - Argonne National Laboratory
Xiabing Xu - Argonne National Laboratory
Sheri Mickelson - Argonne National Laboratory
Kara Peterson - Sandia National Laboratories
Michael Wilde - Argonne National Laboratory
Click here to download .ics calendar file
