SC12 Home > SC12 Schedule > SC12 Presentation - Bringing Task- and Data-Parallelism to Analysis of Climate Model Output

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

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar