ABSTRACT
This abstract describes the aggregation of TeraGrid and Open Science Grid to run the SCEC CyberShake application faster than on TeraGrid alone. Because the resources are distributed and data movement is required to use more than one resource, a careful analysis of the cost of data movement vs. the benefits of distributed computation has been done in order to best distribute the work across the resources.
- S. Callaghan, E. Deelman, D. Gunter, G. Juve, P. Maechling, C. Brooks, K. Vahi, K. Milner, R. Graves, E. Field, D. Okaya, and T. Jordan. Scaling up workflow-based applications. Computer and System Sciences, Journal of, 76(6):18, 2010. Google ScholarDigital Library
- R. Graves, T. Jordan, S. Callaghan, E. Deelman, E. Field, G. Juve, C. Kesselman, P. Maechling, G. Mehta, K. Milner, D. Okaya, P. Small, and K. Vahi. CyberShake: A Physics-Based Seismic Hazard Model for Southern California. Pure and Applied Geophysics, Online Fir:1--15, May 2010.Google Scholar
- Z. Yong, M. Hategan, B. Clifford, I. Foster, G. von Laszewski, V. Nefedova, I. Raicu, T. Stef-Praun, and M. Wilde. Swift: Fast, Reliable, Loosely Coupled Parallel Computation. In 2007 IEEE Cong. on Services, pages 199--206, 2007.Google Scholar
Index Terms
- Data-intensive CyberShake computations on an opportunistic cyberinfrastructure
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