@inproceedings{oai:jaxa.repo.nii.ac.jp:00004374,
 author = {高木, 亮治 and 秋田, 剛 and Takaki, Ryoji and Akita, Takeshi},
 book = {宇宙航空研究開発機構特別資料: 第43回流体力学講演会: 航空宇宙数値シミュレーション技術シンポジウム2011論文集, JAXA Special Publication: Proceedings of 43rd Fluid Dynamics Conference / Aerospace Numerical Simulation Symposium 2011},
 month = {Mar},
 note = {第43回流体力学講演会/航空宇宙数値シミュレーション技術シンポジウム2011 (2011年7月7日-8日. 早稲田大学国際会議場) 東京, 43rd Fluid Dynamics Conference / Aerospace Numerical Simulation Symposium 2011 (July 7-8,  2011. Waseda University, International Conference Center), Tokyo Japan, A thermal mathematical model plays an important role in operations on orbit as well as spacecraft thermal designs. The thermal mathematical model has some uncertain thermal characteristic parameters, which discourage make up efficiency and accuracy of the model. A particle filter which is one of successive data assimilation methods hase been applied to construct spacecraft thermal mathematical models. This method conducts a lot of ensemble computations, which require large computatilnal power. Recently, General Purpose computing in Graphics Processing Unit (GPGPU) has been attracted attention in high performance computing. Therefore GPGPU is applied to increase the computational speed of thermal analysis used in the particle filter. This paper shows the speed-up results by using GPGPU as well as the application method of GPGPU., 形態: カラー図版あり, Physical characteristics: Original contains color illustrations, 資料番号: AA0065207002, レポート番号: JAXA-SP-11-015},
 pages = {7--13},
 publisher = {宇宙航空研究開発機構, Japan Aerospace Exploration Agency (JAXA)},
 title = {データ同化における衛星熱解析のGPGPUによる高速化試行},
 volume = {JAXA-SP-11-015},
 year = {2012}
}