SBIR/STTR Research Award

NonLinear Parallel OPtimization Tool

Award identifier 265388e0f1f5e4cf767357f4257797b66597c6e409af8bf425884ecba11f3fa1Awarding agency National Aeronautics and Space Administration

Award amount

$124,997

Program and phase

SBIR · Phase I

Award year

2016

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
CU AEROSPACE L.L.C.
Proposal award date
2016-06-10
Contract end date
2016-12-09
UEI
X95KNGLAEMH7
Solicitation number
Not reported
Topic code
H9.03

Research abstract

CU Aerospace, in partnership with the University of Illinois propose the further development of a new sparse nonlinear programming architecture that exploits parallelism at three levels. The Nonlinear Parallel Optimization Tool (NLPAROPT) is a black-box NLP solver intended to take advantage of multicore processors and distributed processing super computers alike to vastly improve the time-to-solution for optimization problems. It has been built with NASA trajectory optimization problems in mind, but can be applied to any class of NLP problem. By parallelising not only the basic linear algebra, but also the derivative calculation, problem formulation, and sparse aspects of typical problems, significant speed improvements are achievable by comparison to existing open source and commerical NLP solvers.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

81 SBIR/STTR records share this UEI (2000–2024). Reported award amounts total $28,240,718. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Aeronautics and Space Administration, Department of Defense, Department of Energy, National Science Foundation

Agency intelligence

National Aeronautics and Space Administration

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