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| Large scale satellite imagery simulations with physically based ray tracing on tianhe-1A supercomputer | |
| Wu, Changmao (1); Zhang, Yunquan (2); Yang, Congli (1); Zhang, Y.(changmaowu@gmail.com) | |
| 2014 | |
| Conference Name | 15th IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 11th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2013 |
| Pages | 549-556 |
| Conference Date | November 13, 2013 - November 15, 2013 |
| Conference Place | Zhangjiajie, Hunan, China |
| Indexed Type | EI |
| Publish Place | IEEE Computer Society |
| ISBN | 9780769550886 |
| Department | (1) Institute of Software, CAS, China; (2) State Key Laboratory of Computer Architecture, Institute of Computing Technology, CAS, China; (3) University of Chinese Academy of Sciences, Beijing, China |
| English Abstract | Developing highly scalable algorithms for satellite imagery simulations is becoming increasingly important as scientists inquire to understand the mechanism of satellite imagery before satellites are launched into orbit. Although physically based ray tracing technique for image rendering has produced some of the most realistic images to date, studies on satellite imagery simulations using this technique are still very less to be seen, due in large part to both the complex physical processes and the computational difficulties of the mathematical models. In this paper, we present a highly scalable physically based ray tracer for satellite imagery simulations. Our ray tracer is based on a Master-Worker-Receiver framework which can overcome the performance bottleneck of Master node. Besides, a novel sample distribution strategy is presented by the authors, aiming at removing high additional computation overhead which is introduced by the currently available pixel distribution strategy. Compared to the pixel distribution strategy, our sample distribution strategy drops the computation overhead by 0.25 to 4 times. We also discuss the issue with granularity of assignment partitioning for Inter-Nodes and Intra-Nodes, then a hybrid scheduling strategy combining static and dynamic scheduling strategies is presented. Experiments show that our physically based ray tracer almost reaches to a linear speedup by using 16,800 CPU cores on Tianhe-1A Supercomputer. Our ray tracer is more efficient and highly scalable. © 2013 IEEE.; Developing highly scalable algorithms for satellite imagery simulations is becoming increasingly important as scientists inquire to understand the mechanism of satellite imagery before satellites are launched into orbit. Although physically based ray tracing technique for image rendering has produced some of the most realistic images to date, studies on satellite imagery simulations using this technique are still very less to be seen, due in large part to both the complex physical processes and the computational difficulties of the mathematical models. In this paper, we present a highly scalable physically based ray tracer for satellite imagery simulations. Our ray tracer is based on a Master-Worker-Receiver framework which can overcome the performance bottleneck of Master node. Besides, a novel sample distribution strategy is presented by the authors, aiming at removing high additional computation overhead which is introduced by the currently available pixel distribution strategy. Compared to the pixel distribution strategy, our sample distribution strategy drops the computation overhead by 0.25 to 4 times. We also discuss the issue with granularity of assignment partitioning for Inter-Nodes and Intra-Nodes, then a hybrid scheduling strategy combining static and dynamic scheduling strategies is presented. Experiments show that our physically based ray tracer almost reaches to a linear speedup by using 16,800 CPU cores on Tianhe-1A Supercomputer. Our ray tracer is more efficient and highly scalable. © 2013 IEEE. |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16637 |
| Collection | 中国科学院软件研究所 |
| Corresponding Author | Zhang, Y.(changmaowu@gmail.com) |
| Recommended Citation GB/T 7714 | Wu, Changmao ,Zhang, Yunquan ,Yang, Congli ,et al. Large scale satellite imagery simulations with physically based ray tracing on tianhe-1A supercomputer[C]. IEEE Computer Society,2014:549-556. |
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