New Combustion CFD Algorithms Designed for Rapid GPU Computations, Phase I

Metadata Updated: May 1, 2019

We propose development of new algorithms specifically designed to exploit the highly parallel structure of graphics processing units (GPUs) for performing the following most expensive, but parallelizable computations in combustion CFD: (1) Chemical kinetics source term (including Jacobian matrix) evaluation; (2) Transport property evaluations; and (3) Matrix factorizations and inversions. The algorithms developed in this work will be implemented as software modules that can be easily interfaced with arbitrary CFD solvers for rapid computations using GPUs. A user guide will be delivered with directions for coupling the provided algorithms with users' CFD programs. Phase I work will demonstrate the computational acceleration achieved using the preliminary algorithms; and Phase II work will optimize the algorithms for improved performance and implement the algorithms as well-documented, distributable software modules as described above. This work will significantly increase the predictive capability of combustion CFD simulations by enabling efficient application of much larger chemistry models (which is essential, but currently prohibitively expensive) for accurately modeling the combustion of practical fuels.

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Public: This dataset is intended for public access and use. License: U.S. Government Work

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Metadata Created Date August 1, 2018
Metadata Updated Date May 1, 2019

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date May 1, 2019
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_9657
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Datagov Dedupe Retained 20190501230127
Harvest Object Id d5ad2757-6d93-4b75-a077-003abad561cd
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2011-09-01
Homepage URL
Data Last Modified 2018-07-19
Program Code 026:027
Source Datajson Identifier True
Source Hash c86da6c083dd16e1f031d26a23ad568328327dd0
Source Schema Version 1.1

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