Use of high performance computing in meteorology : proceedings of the eleventh ECMWF Workshop on the Use of High Performance Computing in Meteorology : Reading, UK, 25-29 October 2004 / / editors, Walter Zwieflhofer, George Mozdzynski

• Pubblicazione: Singapore ; ; Hackensack, NJ, : World Scientific, c2005
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (323 p.)
• Disciplina: 550.285; 551.50285
• Soggetto topico: Meteorology - Data processing; Parallel processing (Electronic computers)
• Altri autori: ZwieflhoferWalter MozdzynskiGeorge
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Preface; CONTENTS; Early Experiences with the New IBM P690+ at ECMWF Deborah Salmond, Sami Saarinen; Creating Science Driven System Architectures for Large Scale Science William T.C. Kramer; Programming Models and Languages for High-productivity Computing Systems Hans P. Zima; Operation Status of the Earth Simulator Atsuya Uno; Non-hydrostatic Atmospheric GCM Development and Its Computational Performance Keiko Takahashi, Xindong Peng, Kenji Komine, Mitsuru Ohdaira, Koji Goto, Masayuki Yamada, Fuchigami Hiromitsu, Takeshi Sug ; PDAF - The Parallel Data Assimilation Framework: Experiences with Kalman Filtering L. Nerger, W. Hiller, J. SchroterOptimal Approximation of Kalman Filtering with Temporally Local 4D-Var in Operational Weather Forecasting H. Auvinen, H. Haario, T. Kauranne; Intel Architecture Based High-performance Computing Technologies Herbert Cornelius; Distributed Data Management at DKRZ Wolfgang Sell; Supercomputing Upgrade at the Australian Bureau of Meteorology I. Bermous, M. Naughton, W. Bourke; 4D-Var: Optimisation and Performance on the NEC SX-6 Stephen Oxley ; The Weather Research and Forecast Model: Software Architecture and Performance J. Michalakes, J. Dudhia, D. Gill, T. Henderson, J. Klemp, W. Skamarock, W. WangEstablishment of an Efficient Managing System for NWP Operation in CMA Jiangkai, Hu, Wenhai, Shen; The Next-generation Supercomputer and NWP System of the JMA Masami Narita; The Grid: An IT Infrastructure for NOAA in the 21st Century Mark W. Govett, Mike Doney, Paul Hyder ; Integrating Distributed Climate Data Resources: The NERC Datagrid A. Woolf, B. Lawrence, R. Lowry, K. Kleese van Dam, R. Cramer, M. Gutierrez, S. Kondapalli, S. Lathan, K. O'Neill, A . StephensTask Geometry for Commodity Linux Clusters and Grids: A Solution for Topology-aware Load Balancing of Synchronously Coupled, Asymmetric Atmospheric Models I. Lumb, B. McMillan, M. Page, G. Carr; Porting and Performance of the Community Climate System Model (CCSM3) on the Cray X1 G.R. Carr Jr., I.L. Carpenter, M.J. Cordery, J.B. Drake, M.W. Ham, F.M. Hoffman, P.H. Worley ; A Uniform Memory Model for Distributed Data Objects on Parallel Architectures V. Balaji, Robert W. NumrichPanel Experience on Using High Performance Computing in Meteorology - Summary of the Discussion George Mozdzynski; List of Participants
• Sommario/riassunto: Geosciences and, in particular, numerical weather prediction are demanding the highest levels of available computer power. The European Centre for Medium-Range Weather Forecasts, with its experience in using supercomputers in this field, organizes every other year a workshop bringing together manufacturers, computer scientists, researchers and operational users to share their experiences and to learn about the latest developments. This volume provides an excellent overview of the latest achievements and plans for the use of new parallel techniques in the fields of meteorology, climatology and
• Altri titoli varianti: Proceedings of the Eleventh ECMWF Workshop on the Use of High Performance Computing in Meteorology; Eleventh ECMWF Workshop on the Use of High Performance Computing in Meteorology
• Titolo autorizzato: Use of high performance computing in meteorology
• ISBN: 1-281-37279-X; 9786611372798; 981-270-183-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910817005503321
• Lo trovi qui: Univ. Federico II