Scipediacontent: Scipediacontent moved page Draft Content 605237370 to Rios et al 2011a

2021-02-01T20:33:24Z

Scipediacontent moved page Draft Content 605237370 to Rios et al 2011a

Scipediacontent: Created page with " == Abstract == The ability to rapidly generate traffic predictions is expected to be central for implementing next-generation air traffic management functionality, both on t..."

2021-02-01T20:33:17Z

Created page with " == Abstract == The ability to rapidly generate traffic predictions is expected to be central for implementing next-generation air traffic management functionality, both on t..."

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== Abstract ==

The ability to rapidly generate traffic predictions is expected to be central for implementing next-generation air traffic management functionality, both on the ground and aboard aircraft. While high-end computers can be used for this purpose, emerging capabilities of computational hardware such as Graphics Processing Units, together with Cloud Computing concepts can be exploited to realize substantial acceleration of trajectory computations at a modest cost increment. This paper discusses the development of a computational appliance for rapid prediction of aircraft trajectories that combines efficient algorithm and software design with emerging high performance computing architectures. The research effort accelerates trajectory predictions through software profiling and tuning, and implements computationally intensive functions on high performance computing architectures such as computing clusters, multi-threaded programming on multi-core computers and Graphics Processing Units. The fastest of these implementations uses a Graphics Processing Unit, which can perform a system-wide 24-hour trajectory prediction for 35,000 aircraft in less than 2.5 seconds. When compared with the baseline trajectory prediction software, the present approach provides over two orders of magnitude speedup.

== Original document ==

The different versions of the original document can be found in:

* [http://pdfs.semanticscholar.org/b15a/bdb5831e753104dd29f673f5b5f8348d222a.pdf http://pdfs.semanticscholar.org/b15a/bdb5831e753104dd29f673f5b5f8348d222a.pdf]

* [http://arc.aiaa.org/doi/pdf/10.2514/6.2011-6660 http://arc.aiaa.org/doi/pdf/10.2514/6.2011-6660],
: [http://dx.doi.org/10.2514/6.2011-6660 http://dx.doi.org/10.2514/6.2011-6660]

* [https://www.aviationsystemsdivision.arc.nasa.gov/publications/2011/AIAA-2011-6660.pdf https://www.aviationsystemsdivision.arc.nasa.gov/publications/2011/AIAA-2011-6660.pdf],
: [https://www.aviationsystems.arc.nasa.gov/publications/2011/AIAA-2011-6660.pdf https://www.aviationsystems.arc.nasa.gov/publications/2011/AIAA-2011-6660.pdf],
: [https://arc.aiaa.org/doi/10.2514/6.2011-6660 https://arc.aiaa.org/doi/10.2514/6.2011-6660],
: [http://www.optisyn.com/research/publications/2011/TandaleHigh2011.pdf http://www.optisyn.com/research/publications/2011/TandaleHigh2011.pdf],
: [https://academic.microsoft.com/#/detail/2165538065 https://academic.microsoft.com/#/detail/2165538065]

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Rios et al 2011a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 605237370 to Rios et al 2011a

Scipediacontent: Created page with " == Abstract == The ability to rapidly generate traffic predictions is expected to be central for implementing next-generation air traffic management functionality, both on t..."