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Enhancing the efficiency of Climate and Weather Simulation in High Performance…

Award Information

Agency:
National Aeronautics and Space Administration 		Branch:
N/A 		Award ID:
 Program Year/Program:
2012 / SBIR
Agency Tracking Number:
114844 		Solicitation Year:
2011 		Solicitation Topic Code:
S6.01 		Solicitation Number:
Small Business Information
Tellus Applied Sciences, Inc.
1769 Jamestown Road Williamsburg, VA 23188-2300
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2012
Title: Enhancing the efficiency of Climate and Weather Simulation in High Performance Computing Environments
Agency: NASA
Contract: NNX12CD31P
Award Amount: $124,169.00
 

Abstract:

A central focus of NASA's Global Modeling and Assimilation Office (GMAO) atmospheric general circulation modeling effort is the development of an atmospheric model suitable for data assimilation, weather forecasting, and climate simulation. Ongoing developments are focused on highly parallel processing, global simulations of increasing resolutions, and increased coupling of the earth system's process models. While model computation scales very well with number of available processors, a major constraining factor on the efficiency of these simulations is the input processing of Terabyte-size source data files used by the gridded component models. Our objective in this research is to increase the efficient use of CPU time associated with these simulations by paralleling I/O processing operations using an 'I/O Staging Server' which captures and makes available the required source data asynchronously with the simulation run. More efficient I/O for reading model restarts and boundary conditions, and writing model output and checkpoint files will free up processing resources that are currently idling during I/O. As a result, we will realize a significant increase both the number of models that can be involved in the simulation and the achievable resolutions of the grid components. It is estimated that currently up to 25% of a forecast run is consumed by I/O, a factor we think can be reduced by at least 50% or more through the use of State-of-the-art I/O processing approaches and supporting software infrastructure.

Principal Investigator:

Atanas Trayanov
Principal Investigator
7572203182
atrayanov@tellusappliedsciences.com

Business Contact:

Henry Pierce
Business Official
7572727851
pierce@tellusappliedsciences.com
Small Business Information at Submission:

Tellus Applied Sciences, Inc.
1769 Jamestown Road Williamsburg, VA 23188-2300

EIN/Tax ID: 205055692
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No