Science on the TeraGrid

• Autorzy: Katz D. S. , Callaghan S. , Harkness R. , Jha S. , Kurowski K. , Manos S. , Pamidighantam S. , Pierce M. , Plale B. , Song C. , Towns J.
• Języki publikacji: EN

Abstrakty

EN

The TeraGrid is an advanced, integrated, nationally-distributed, open, user-driven, US cyberinfrastructure that enables and supports leading edge scientific discovery and promotes science and technology education. It comprises supercomputing resources, storage systems, visualization resources, data collections, software, and science gateways, integrated by software systems and high bandwidth networks, coordinated through common policies and operations, and supported by technology experts. This paper discusses the TeraGrid itself, examples of the science that is occurring on the TeraGrid today, and applications that are being developed to perform science in the future.

Słowa kluczowe

EN

computational science applications; high performance computing; grid computing; production grid infrastructure

• Wydawca: Institute of Bioorganic Chemistry Scientific Publishers OWN, Polish Academy of Sciences
• Czasopismo: Computational Methods in Science and Technology
• Rocznik: 2010
• Tom: Vol. spec. iss. (1)
• Strony: 81--97
• Opis fizyczny: Bibliogr. 31 poz., rys.

Twórcy

autor

Katz D. S.

autor

Callaghan S.

autor

Harkness R.

autor

Jha S.

autor

Kurowski K.

autor

Manos S.

autor

Pamidighantam S.

autor

Pierce M.

autor

Plale B.

autor

Song C.

autor

Towns J.

• Computation Institute, University of Chicago and Argonne National Laboratory, USA

Bibliografia

• [1] K.K. Droegemeier, D. Gannon, D. Reed, B. Plale, J. Alameda, T. Baltzer, K. Brewster, R. Clark, B. Domenico, S. Graves, E. Joseph, D. Murray, R. Ramachandran, M. Ramamurthy, L. Ramakrishnan, J.A. Rushing, D. Weber, R. Wilhelmson, A. Wilson, M. Xue, S. Yalda, Service-oriented environments for dynamically interacting with mesoscale weather. Computing in Science and Engg. 7 (6), 12-29 (2005).
• [2] B. Plale, D. Gannon, Y. Huang, G. Kandaswamy, S. Lee Pallickara, A. Slominski, Cooperating services for datadriven computational experimentation. Computing in Science and Engineering 7, 34-43 (2005).
• [3] S. Shirasuna, A Dynamic Scientific Workflow System for the Web Services Architecture. PhD thesis, Indiana University, September 2007.
• [4] S. Jensen, B. Plale, Schema-independent and schema-friendly scientific metadata management. In ESCIENCE ‘08: Proceedings of the 2008 Fourth IEEE International Conference one-Science, pages 428-429, Washington, DC, USA, 2008. IEEE Computer Society.
• [5] G. Kandaswamy, L. Fang, Y. Huang, S. Shirasuna, S. Marru, D. Gannon, Building web services for scientific grid applications. IBM J. Res. Dev. 50 (2/3) 249-260 (2006).
• [6] Ch. Herath, B. Plale, Streamow – programming model for data streaming in scientific workflows. In Proceedings of the 10th IEEE/ACM Int'l Symposium on Cluster, Cloud, and Grid Computing (CCGrid 2010) 2010.
• [7] S. Callaghan, E. Deelman, D. Gunter, G. Juve, P. Maechling, Ch. Brooks, K. Vahi, K. Milner, R. Graves, E. Field, D. Okaya, T. Jordan, Scaling up workflow-based applications. J. Comput. System Sci., 2010 (Special issue on scientific workflows, in press).
• [8] R. Graves, T. Jordan, S. Callaghan, E. Deelman, E. Field, G. Juve, C. Kesselman, P. Maechling, G. Mehta, K. Milner, D. Okaya, P. Small, K. Vahi, Cybershake: A physics-based seismic hazard model for southern California. Pure Applied Geophys., 2010 (accepted for publication).
• [9] R. Dooley, K. Milfeld, Ch. Guiang, S. Pamidighantam, G. Allen, From proposal to production: Lessons learned developing the computational chemistry grid cyberinfrastructure. Journal of Grid Computing, 4 (2), 195-208 (2006).
• [10] N. Wilkins-Diehr, D. Gannon, G. Klimeck, S. Oster, S. Pamidighantam, TeraGrid science gateways and their impact on science. Computer 41 (11), 32-41 (2008).
• [11] S.K. Sadiq, M.D. Mazzeo, S.J Zasada, S. Manos, I. Stoica, C. V Gale, Simon J Watson, P. Kellam, S. Brew, P.V CoScience on the TeraGrid 95 veney, Patient-specific simulation as a basis for clinical decision-making. Philosophical Transactions of the Royal Society A, 366 (1878), 3199-3219 (2008).
• [12] M.D Mazzeo, P.V Coveney. Hemelb: A high performance parallel lattice-Boltzmann code for large scale fluid flow in complex geometries. Computer Physics Communications 178 (12), 894-914 (2008).
• [13] R.S Saksena, B. Boghosian, L. Fazendeiro, O.A. Kenway, S. Manos, M.D. Mazzeo, S.K. Sadiq, J.L Suter, D. Wright, P. V Coveney, Real science at the petascale. Philos T R Soc A 367 (1897) 2557-2571 (2009).
• [14] M.D Mazzeo, S Manos, P.V Coveney, In situ ray tracing and computational steering for interactive blood flow simulation. Computer Physics Communications 181, 355-370 (2010).
• [15] N. Karonis, B. Toonen, I. Foster, A grid-enabled implementation of the message passing interface. Journal of Parallel and Distributed Computing (JPDC) 63 (5), 551-563 (2003).
• [16] S. Manos, S. Zasada, P.V. Coveney. Life or Death Decisionmaking:The Medical Case for Large-scale, On-demand Grid Computing. CTWatch Quarterly Journal 4 (2), 35-45(2008).
• [17] K. Yoshimoto, P. Kovatch, P. Andrews, Co-scheduling with usersettable reservations. In D.G. Feitelson, E Frachtenberg, L Rudolph, U. Schwiegelshohn, editors, Job Scheduling Strategies for Parallel Processing 146-156, Springer Verlag, Lect. Notes Comput. Sci. 3834 (2005)
• [18] J. MacLaren, M. Mc Keown, S. Pickles. Co-Allocation,Fault Tolerance and Grid Computing. In Proceedings of the UK e-Science All Hands Meeting 2006, 155-162 (2006).
• [19] P.V. Coveney, R.S. Saksena, S.J. Zasada, M. McKeown, S. Pickles, The application hosting environment: Lightweight middleware for grid-based computational science.Computer Physics Communications 176 (6), 406-418 (2007).
• [20] S. Gogineni, D. Braaten, Ch. Allen, J. Paden, T. Akins, P. Kanagaratnam, K. Jezek, G. Prescott, G. Jayaraman, V. Ramasami, C. Lewis, D. Dunson, Polar radar for ice sheet measurements (PRISM). Remote Sensing of Environment 111 (2-3), 204-211 (2007) (Remote Sensing of the Cryosphere Special Issue).
• [21] Z. Guo, R. Singh, M. Pierce, Building the PolarGrid portal using web 2.0 and OpenSocial. In GCE '09: Proceedings of the 5th Grid Computing Environments Workshop 1-8, New York, NY, USA, ACM (2009).
• [22] J. Alameda, M. Christie, G. Fox, J. Futrelle, D. Gannon, M. Hategan, G. Kandaswamy, G. von Laszewski, M.A. Nacar, M. Pierce, E. Roberts, Ch. Severance, M. Thomas, The open grid computing environments collaboration: portlets and services for science gateways: Research articles. Concurr. Comput.: Pract. Exper. 19 (6), 921-942 (2007).
• [23] R. Kalyanam, L. Zhao, T. Park, L. Biehl, C.X. Song, Enabling useroriented data access in a satellite data portal. In Proceedings of the 3rd International Workshop on Grid Computing Environment (2007).
• [24] T. Goodale et al., A Simple API for Grid Applications (SAGA).http://www.ogf.org/documents/GFD.90.pdf.
• [25] Shantenu Jha, Hartmut Kaiser, Yaakoub El Khamra, and OleWeidner. De- sign and implementation of network performance aware applications using saga and cactus. e-Science and Grid Computing, International Conference on, 0:143{150, 2007.
• [26] S. Jha, Y. El Khamra, H. Kaiser, O. Weidner, A. Merzky, Developing adaptive scientific applications with hard to predict runtime resource requirements. In Proceedings of TeraGrid 2008 Conference (2008).
• [27] A. Luckow, S. Jha, A. Merzky, B. Schnor, J. Kim, Reliable Replica Exchange Molecular Dynamics Simulation in the Grid using SAGA CPR and Migol. In Proceedings of UK e-Science 2008 All Hands Meeting, Edinburgh, UK (2008).
• [28] Y. El-Khamra, S. Jha, Developing autonomic distributed scientific applications: a case study from history matching using ensemble kalman-filters. In Proceedings of the 6th International Conference on Autonomic Computing (ICAC); Industry session on Grids meets Autonomic Computing 19-28, New York, NY, USA (2009). ACM.
• [29] A. Binczewski, N. Meyer, J. Nabrzyski, S. Starzak, M. Stroiński, J. Węglarz, First experiences with the polish optical internet. Comput. Netw. 37 (6):747-759 (2001).
• [30] M. Kosiedowski, K. Kurowski, C. Mazurek, J. Nabrzyski, J. Pukacki, Workflow applications in gridlab and progress projects: Research articles. Concurr. Comput.: Pract. Exper. 18 (10), 1141-1154 (2006).
• [31] K. Kurowski, W. Back, W. Dubitzky, L. Gulyás, G. Kampis, M. Mamonski, G. Szemes, M. Swain, Complex system simulations with qoscosgrid. In ICCS ‘09: Proceedings of the 9th International Conference on Computational Science, Berlin, Heidelberg, Springer-Verlag, 387-396 (2009).