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Interfacing the Paramesh Computational Libraries to the Cactus Computational…

Award Information

Agency:
National Aeronautics and Space Administration
Branch:
N/A
Award ID:
80768
Program Year/Program:
2008 / STTR
Agency Tracking Number:
050136
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
DECISIVE ANALYTICS Corporation
1235 South Clark Street Suite 400 Arlington, VA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2008
Title: Interfacing the Paramesh Computational Libraries to the Cactus Computational Framework
Agency: NASA
Contract: NNG08CA03C
Award Amount: $600,000.00
 

Abstract:

Our proposal and the Phase I work completed under it addressed these NASA-identified needs by providing software infrastructure that provides physical scientists a "plug-and-play" architecture in which they can insert their "physics kernels" and exploit very large existing code bases for the computer science aspects of the problem. In particular, our STTR product provides cutting-edge adaptive mesh refinement (AMR) capabilities, and our Phase I results demonstrate the ability of our software architecture to run existing physics code with the newly incorporated AMR driver. Our innovative solution to the problem delivered significant value to NASA at a relatively small cost by combining existing open source tools. In Phase I, we built an interface, which we call Parca, between the Paramesh computational libraries, developed at NASA GSFC to support AMR computations in the area computational hydrodynamics, and the Cactus computational toolkit, which is an infrastructure package developed by Louisiana State University that provides a "plug-and-play" framework for cross-institution and cross-disciplinary scientific codes. Both of these software packages have large user bases in the areas of computational fluid dynamics and numerical general relativity, and both had existing users at NASA GSFC. Prior to our Phase I work, there was no way these user communities to collaborate directly, leading each user group to redevelop software already available in the other user community.

Principal Investigator:

David Fiske
Principal Investigator
david.fiske@dac.us

Business Contact:

Caitlin Mackintosh
Business Official
7034145037
Small Business Information at Submission:

Decisive Analytics Corporation
1235 South Clark Street, Suite 400 Arlington, VA 22202

EIN/Tax ID: 541785147
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
Louisiana State University
Office of Sponsored Programs, 330 Thomas Boyd Hall
Baton Rouge, LA 70803
Contact Phone: (225) 578-3386
RI Type: Nonprofit college or university