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Impact of the TeraGrid on Large-Scale Simulations and Visualizations

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Parallel Computational Fluid Dynamics 2007

Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 67))

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Abstract

TeraGrid is a National Science Foundation supported computing grid available for scientists and engineers in U.S. universities and government research laboratories. It is the world’ largest and most comprehensive distributed cyberinfrastructure for open scientific research. With its high-performance data management, computational, and visualization resources, TeraGrid has opened up new opportunities for scientists and engineers for solving large-scale problems with relative ease. To assess the performance of different resources available on the TeraGrid, parallel performance of a flow solver was tested on Indiana University’ IBM e1350 and San Diego Supercomputing Center’ IBM BlueGene/L systems, which are two of the TeraGrid computational resources with differing architectures. The results of a large-scale problem are visualized on a parallel visualization toolkit, ParaView, available on the TeraGrid to test its usability for large scale-problems.

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9. References

  1. www.teragrid.org.

  2. E. Yilmaz, M.S. Kavsaoglu, H.U. Akay, and I.S. Akmandor, “Cell-vertex Based Parallel and Adaptive Explicit 3D Flow Solution on Unstructured Grids,” International Journal of Computational Fluid Dynamics, Vol. 14, pp. 271–286, 2001.

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  3. E. Yilmaz, R.U. Payli, H.U. Akay, and A. Ecer, “Efficient Distribution of a Parallel Job across Different Grid Sites,” Parallel Computational Fluid Dynamics, Edited by K.J. Hyuk, et al., Elsevier Science B.V., 2007 (in print).

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  4. R.U. Payli, H.U. Akay, A.S. Baddi, E. Yilmaz, A. Ecer, and E. Oktay, “Computational Fluid Dynamics Applications on TeraGrid,” Parallel Computational Fluid Dynamics, Edited by A. Deane, et al., Elsevier Science B.V., pp. 141–148, 2006.

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  5. R.U. Payli, E. Yilmaz, H.U. Akay, and A. Ecer, “From Visualization to Simulation: Large-scale Parallel CFD Applications on TeraGrid,” TeraGrid Conference: Advancing Scientific Discovery (poster presentation and demonstration), Indianapolis, IN, June 12–15, 2006.

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  6. www.paraview.org.

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Authors and Affiliations

  1. Computational Fluid Dynamics Laboratory, Department of Mechanical Engineering, Indiana University-Purdue University Indianapolis (IUPUI), 46202, Indianapolis, Indiana, USA

    Resat U. Payli, Erdal Yilmaz, Hasan U. Akay & Akin Ecer

Authors
  1. Resat U. Payli
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  2. Erdal Yilmaz
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  3. Hasan U. Akay
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  4. Akin Ecer
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© 2009 Springer-Verlag Berlin Heidelberg

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Payli, R., Yilmaz, E., Akay, H., Ecer, A. (2009). Impact of the TeraGrid on Large-Scale Simulations and Visualizations. In: Parallel Computational Fluid Dynamics 2007. Lecture Notes in Computational Science and Engineering, vol 67. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92744-0_51

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