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Section B

Integrating data and compute-intensive workflows for uncertainty quantification in large-scale simulation: application to model-based hazard analysis

, &
Pages 730-747 | Received 15 Apr 2013, Accepted 09 Sep 2013, Published online: 16 Jan 2014

References

  • A. Acharya, M. Uysal, R. Bennett, A. Mendelson, M. Beynon, J. Hollingsworth, J. Saltz, and A. Sussman, Tuning the performance of i/o-intensive parallel applications, Proceedings of the Fourth Workshop on I/O in Parallel and Distributed Systems: Part of the Federated Computing Research Conference, Philadelphia PA, USA, ACM, 1996, pp. 15–27.
  • N. Ali, P. Carns, K. Iskra, D. Kimpe, S. Lang, R. Latham, R. Ross, L. Ward, and P. Sadayappan, Scalable i/o forwarding framework for high-performance computing systems, IEEE International Conference on Cluster Computing and Workshops, 2009, CLUSTER’09, New Orleans, Louisiana, USA, IEEE, 2009, pp. 1–10.
  • P.S. Craig, M. Goldstein, A.H. Seheult, and J.A. Smith, Pressure Matching for Hydrocarbon Reservoirs: A Case Study in the Use of Bayes Linear Strategies for Large Computer Experiments, Lecture Notes in Statistics, Springer Verlag, New York, 1997, pp. 37–94.
  • P.S. Craig, M. Goldstein, J.C. Rougier, and A.H. Seheult, Bayesian forecasting for complex systems using computer simulators, J. Am. Statist. Assoc. 96(454) (2001), pp. 717–729. doi: 10.1198/016214501753168370
  • K.R. Dalbey, Predictive Simulation and Model Based Hazard Maps of Geophysical Mass Flows, State University of New York at Buffalo, Buffalo, NY, 2009.
  • J.A. Delmerico, N.A. Byrnes, A.E. Bruno, M.D. Jones, S.M. Gallo, and V. Chaudhary, Comparing the performance of clusters, Hadoop, and active disks on microarray correlation computations, International Conference on High Performance Computing (HiPC), Kochi, India, December 16–19, 2009, IEEE, 2009, pp. 378–387.
  • T. Gneiting, Compactly supported correlation functions, J. Multivariate Anal. 83 (2002), pp. 493–508. doi: 10.1006/jmva.2001.2056
  • M. Goldstein and J. Rougier, Bayes linear calibrated prediction for complex systems, J. Am. Statist. Assoc. 101(475) (2006), pp. 1132–1143. doi: 10.1198/016214506000000203
  • M. Goldstein and J. Rougier, Reified Bayesian modelling and inference for physical systems, J. Statist. Plann. Inference 139(3) (2009), pp. 1221–1239. doi: 10.1016/j.jspi.2008.07.019
  • R.B. Gramacy and H.K.H. Lee, Bayesian treed Gaussian process models with an application to computer modeling, J. Am. Statist. Assoc. 103(483) (2008), pp. 1119–1130. doi: 10.1198/016214508000000689
  • J. Gaeta, Think inside the box, in IBM Cloud & Smarter Infrastructure Software, Lung Cancer Advocacy, and other stuff …  (Blog post, 12 April 2012). Available at http://joegaeta.blogspot.co.uk/2012/04/think-inside-box-bigdata-netezza.html.
  • J. Kobielus, B. Evelson, R. Karel, and C. Coit, In-database Analytics: The Heart of the Predictive Enterprise, Forrester Research Inc., 2009, pp. 1–22.
  • D. Kotz, Disk-directed i/o for MIMD multiprocessors, ACM Trans. Comput. Syst. 15(1) (1997), pp. 41–74. doi: 10.1145/244764.244766
  • J. Lovett, Beyond Surface-Level Social media – Using Analytical Assets for Generation-Next Marketing (White Paper), Web Analytics Demystified, 2011, pp. 1–19.
  • Netezza Performance Server® Data Warehouse Appliance: An Architectural Comparison (White Paper), November 2006.
  • Netezza Data Loading Guide (White Paper, Document Number: 20525-1 Rev. 1), Netezza Corporation, October 2010.
  • R.A. Oldfield, L. Ward, R. Riesen, A.B. Maccabe, P. Widener, and T. Kordenbrock, Lightweight i/o for scientific applications, 2006 IEEE International Conference on Cluster Computing, Barcelona, IEEE, 2006, pp. 1–11.
  • N. Raden, Advanced In-database Analytics Done Right Hired Brains Research, Hired Brains, Inc., 2010, pp. 1–17.
  • SaS and Teradata Inc., Unlock the Business Value of Enterprise Data with In-database Analytics (White Paper), SAS Institute Inc. and Teradata Corporation, 2009, pp. 1–12.
  • E.R. Stefanescu, M. Bursik, G. Cordoba, K. Dalbey, M.D. Jones, A.K. Patra, D.C. Pieri, E.B. Pitman, and M.F. Sheridan, Digital elevation model uncertainty and hazard analysis using a geophysical flow model, Proc. R. Soc. A Math. Phys. Eng. Sci. 468(2142) (2012), pp. 1543–1563. doi: 10.1098/rspa.2011.0711
  • D. Stodder, TWDI Monograph Series: Seven Keys to High Performance Data Management for Advanced Analytics, TDWI Research (1105 Media Inc.), 2011, p. 20.
  • Tableau Software, Big Data: Powering the Next Industrial Revolution. Tableau Software, 2012.
  • The Economist-Economist Intelligent Unit, Big Data – Harnessing a Game-Changing Asset (White Paper), The Economist Intelligent Unit, 2011, pp. 1–32.

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