000 02865naaaa2200325uu 4500
001 https://directory.doabooks.org/handle/20.500.12854/64460
005 20220219224907.0
020 _a4165
020 _a9783832541651
024 7 _a10.30819/4165
_cdoi
041 0 _aEnglish
042 _adc
072 7 _aTRC
_2bicssc
100 1 _aMöckel, Marek
_4auth
245 1 0 _aHigh Performance Propagation of Large Object Populations in Earth Orbits
260 _aBerlin/Germany
_bLogos Verlag Berlin
_c2015
300 _a1 electronic resource (224 p.)
506 0 _aOpen Access
_2star
_fUnrestricted online access
520 _aOrbital debris is becoming an increasing problem for space flight missions. New satellite launches, explosions, collisions and other events cause a steady rise in the number of objects orbiting the Earth. It is therefore important to determine the future development of the object population, as well as the effectiveness of debris mitigation measures, in long-term simulations. Orbital propagation, the calculation of an object's movement in its orbit, poses a challenge for this research due to the high computation times of the complex perturbation models involved. With populations consisting of hundreds of thousands of objects as well as simulation time frames of up to 200 years, these calculations can take up hours of computation time. To speed up this process, the analytical propagator Ikebana is introduced in this work of applied computer science in engineering. The program runs on graphics processing units, hardware designed for massively parallel execution of up to thousands of concurrent threads. This reduces the overall run time for large object populations from hours to minutes. Porting software from a conventional CPU is not a trivial task and involves a number of potential pitfalls and optimization opportunities which are detailed in this work. The propagator is integrated into other applications via a generic, multi-platform interface specifically designed for this task. It allows to develop the propagator separately and integrate it into other tools as a plugin at run time. The interface's architecture serves as a design template for analytical propagation software.
540 _aCreative Commons
_fhttps://creativecommons.org/licenses/by-nc-nd/4.0/
_2cc
_4https://creativecommons.org/licenses/by-nc-nd/4.0/
546 _aEnglish
650 7 _aAutomotive technology & trades
_2bicssc
653 _aSpace Debris
653 _aGPU Computing
653 _aHigh-Performance Computing
653 _aOrbital Physics
653 _aAnalytical Models
856 4 0 _awww.oapen.org
_uhttps://www.logos-verlag.de/ebooks/OA/978-3-8325-4165-1.pdf
_70
_zDOAB: download the publication
856 4 0 _awww.oapen.org
_uhttps://directory.doabooks.org/handle/20.500.12854/64460
_70
_zDOAB: description of the publication
999 _c49023
_d49023