The Community for Technology Leaders
RSS Icon
Issue No.05 - Sept.-Oct. (2013 vol.15)
pp: 68-76
Giovanni Lapenta , Katholieke Universiteit Leuven, Belgium
Stefano Markidis , KTH Royal Institute of Technology, Sweden
Stefaan Poedts , Katholieke Universiteit Leuven, Belgium
Dean Vucinic , Vrije Universiteit Brussel, Belgium
Space weather can have a great effect on Earth's climate. Predicting the impact of space environment disturbances on Earth presents a challenge to scientists. The authors present the ExaScience Lab's efforts, which use exascale computing and new visualization tools to predict the arrival and impact of space events on Earth.
Earth, Meteorology, Weather prediction, Computational modeling, Mathematical model, Magnetic fields,scientific computing, space weather, exascale computing, visualization
Giovanni Lapenta, Stefano Markidis, Stefaan Poedts, Dean Vucinic, "Space Weather Prediction and Exascale Computing", Computing in Science & Engineering, vol.15, no. 5, pp. 68-76, Sept.-Oct. 2013, doi:10.1109/MCSE.2012.86
1. V. Bothmer and I.A. Daglis,Space Weather—Physics and Effects, Springer, 2007.
2. D.N. Baker,“How to Cope with Space Weather,” Science, vol. 297, no. 5586, 2002, pp. 1486-1487.
3. C.K. Birdsall and A.B. Langdon,Plasma Physics via Computer Simulations, Taylor & Francis, 2004.
4. G. Lapenta,“Particle Simulations of Space Weather,” J. Computational Physics, vol. 231, no. 3, 2011, pp. 795-821.
5. J.P.H. Goedbloed and S. Poedts,Principles of Magnetohydrodynamics, Cambridge Univ. Press, 2004.
6. J.U. Brackbill and D.W Forslund,“An Implicit Method for Electromagnetic Plasma Simulation in Two Dimensions,” J. Computational Physics, vol. 46, no. 2, 1982, pp. 271-308.
7. S. Markidis,G. Lapenta,, and Rizwan-uddin,“Multi-Scale Simulations of Plasma with iPIC3D,” Mathematics and Computers in Simulation, vol. 80, no. 7, 2010, pp. 1509-1519.
8. K.L. Ma et al., “Next-Generation Visualization Technologies: Enabling Discoveries at Extreme Scale,” SciDAC Rev., vol. 12, 2009, pp. 12-21.
9. R.B. Ross et al., “Visualization and Parallel I/O at Extreme Scale,” J. Physics: Conf. Series, vol. 125, no. 1, 2008; doi:10.1088/1742-6596/125/1/012099.
10. K.L. Ma et al., “Ultra-Scale Visualization: Research and Education,” J. Physics: Conf. Series, vol. 78, no. 1, 2007; doi:10.1088/1742-6596/78/1/012088.
11. I. Wald et al., “Interactive Rendering with Coherent Ray Tracing,” Computer Graphics Forum, vol. 20, no. 3, 2001, pp. 153-165.
12. L. Seiler et al., “Larrabee: A Many-Core x86 Architecture for Visual Computing,” ACM Trans. Graphics, vol. 27, no. 3, 2008; doi:10.1145/1360612.1360617.
13. T. Haber et al., “Exascale In-Situ Visualization Using Raytracing,” Proc. Int’l Conf. High Performance Computing, Networking, Storage and Analysis Companion, ACM, 2011, pp. 15-16.
14. D. Vucinic,Development of a Scientific Visualization System CFView—Computational Field Visualization System and Object-Oriented Software Methodology, LAP Lambert Academic, 2010.
256 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool