intensity model with blur effect on gpus applied to large-scale star simulators

ISCAS OpenIR

	intensity model with blur effect on gpus applied to large-scale star simulators
	Li Chao; Zhang Yun-Quan; Zheng Chang-Wen; Hu Xiao-Hui
	2011
发表期刊	Ruan Jian Xue Bao/Journal of Software
ISSN	1000-9825
卷号	22 期号:UPPL. 2 页码:172-181
摘要	Intensity model with blur effect is widely employed to accurately simulate the imaging process of star simulator used for attitude determination and guiding feedback. It imposes great demands of computing power for realistic domains, and modern Graphics Processing Units (GPUs) have demonstrated to be a powerful accelerator for this kind of computationally intensive simulations. This paper presents a parallel design and implementation of the intensity model applied to large-scale star simulators on GPUs using the compute unified device architecture (CUDA) programming model. The study analyzes the double parallel nature inherent in this model and use the CUDA framework to efficiently exploit the potential fine-grain data parallelism. Two versions of simulator are designed and studied: One is sequential simulator used as the baseline simulator, and another is parallel simulator using CUDA. In parallel strategy, model, and GPU implementation level, the study employs specific optimized strategies to efficiently improve the parallel performance. Finally, two benchmarks corresponding with the double parallelism are developed to fully evaluate the performance behavior of our simulators. The result analysis demonstrates the efficiency of the CUDA simulators and also illustrates the restriction and bottlenecks presented in this simulator. ©2011 Journal of Software.; Intensity model with blur effect is widely employed to accurately simulate the imaging process of star simulator used for attitude determination and guiding feedback. It imposes great demands of computing power for realistic domains, and modern Graphics Processing Units (GPUs) have demonstrated to be a powerful accelerator for this kind of computationally intensive simulations. This paper presents a parallel design and implementation of the intensity model applied to large-scale star simulators on GPUs using the compute unified device architecture (CUDA) programming model. The study analyzes the double parallel nature inherent in this model and use the CUDA framework to efficiently exploit the potential fine-grain data parallelism. Two versions of simulator are designed and studied: One is sequential simulator used as the baseline simulator, and another is parallel simulator using CUDA. In parallel strategy, model, and GPU implementation level, the study employs specific optimized strategies to efficiently improve the parallel performance. Finally, two benchmarks corresponding with the double parallelism are developed to fully evaluate the performance behavior of our simulators. The result analysis demonstrates the efficiency of the CUDA simulators and also illustrates the restriction and bottlenecks presented in this simulator. ©2011 Journal of Software.
收录类别	EI
关键词	Benchmarking Parallel Architectures Parallel Programming Program Processors Stars
部门归属	(1) National Key Laboratory of Integrated Information System Technology Institute of Software Chinese Academy of Sciences Beijing 100190 China; (2) Laboratory of Parallel Software and Computational Science Institute of Software Chinese Academy of Sciences Beijing 100190 China; (3) Graduate University Chinese Academy of Sciences Beijing 100049 China
语种	中文
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16163
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Li Chao,Zhang Yun-Quan,Zheng Chang-Wen,et al. intensity model with blur effect on gpus applied to large-scale star simulators[J]. Ruan Jian Xue Bao/Journal of Software,2011,22(UPPL. 2):172-181.
APA	Li Chao,Zhang Yun-Quan,Zheng Chang-Wen,&Hu Xiao-Hui.(2011).intensity model with blur effect on gpus applied to large-scale star simulators.Ruan Jian Xue Bao/Journal of Software,22(UPPL. 2),172-181.
MLA	Li Chao,et al."intensity model with blur effect on gpus applied to large-scale star simulators".Ruan Jian Xue Bao/Journal of Software 22.UPPL. 2(2011):172-181.