SBIR/STTR Research Award

Parallel Enhancements of the General Mission Analysis Tool

Award identifier 4731bbde83a3708d140e6f655a13b7ebb91a256e7027c736fd432282ac0f134dAwarding agency National Aeronautics and Space Administration

Award amount

$89,944

Program and phase

SBIR · Phase I

Award year

2014

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
Thinking Systems, Inc.
Proposal award date
2014-06-20
Contract end date
2014-12-19
UEI
KU6RJJKDAEB3
Solicitation number
Not reported
Topic code
H9.04

Research abstract

The General Mission Analysis Tool (GMAT) is a state of the art spacecraft mission design tool under active development at NASA's Goddard Space Flight Center (GSFC). GMAT is an open source project, periodically releasing code on publicly accessible repositories. The tool has recently been operationally certified for use planning maneuvers for the Advanced Composition Explorer (ACE). The current implementation of GMAT is built on an architecture that was originally designed to support multiple parallel runs of space flight problems on a distributed processing platform. The implementation of GMAT, to date, has not exercised the features of the design that make parallel processing available to users. The GMAT program in its current implementation runs on a single execution thread on modern computer systems, even when those systems contain multiple processing cores that allow for parallel execution of operations. Thinking Systems is equipped to undertake the task of coding components that plug into GMAT's base code libraries in order to produce an efficient parallelization of GMAT's capabilities. The parallelization of GMAT will be built by building replacement elements of several components of GMAT's core control engine and by implementing user scriptable elements that capitalize on these core components to provide processing on multiple threads simultaneously. Thinking Systems will construct these components in a way that allows the parallel processing engine to run using GMAT's core library code. The parallel engine will be built to work alongside existing GMAT code, and will be accessed using a separate user interface tailored to the parallel engine. Examples of the types of problems that benefit from the proposed system are Parametric studies using systematic changes in one or more parameters, Monte Carlo analysis problems, Large scale targeting problems, and Dispersion analysis studies

Technology keywords

Not reported

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Agency intelligence

National Aeronautics and Space Administration

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