Multiprocessing in Meteorological Models:
Numerical weather prediction on the one hand needs a very large number of floating point calculations, but on the other hand is very time-critical. Therefore, the largest computers available, i.e., the "supercomputers", have usually been acquired by the national meteorological services lon...
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1988
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Schriftenreihe: | Topics in Atmospheric and Oceanic Sciences
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Schlagworte: | |
Online-Zugang: | BTU01 URL des Erstveröffentlichers |
Zusammenfassung: | Numerical weather prediction on the one hand needs a very large number of floating point calculations, but on the other hand is very time-critical. Therefore, the largest computers available, i.e., the "supercomputers", have usually been acquired by the national meteorological services long before they were used in other fields of research or business. Since the available technology limits the speed of any single computer, parallel computations have become necessary to achieve further improvements in the number of results produced per time unit. This book collects the papers presented at two workshops held at ECMWF on the topic of parallel processing in meteorological models. It provides an insight into the state-of-the-art in using parallel processors operationally and allows extrapolation to other time-critical applications. It also shows trends in migrating to massive parallel systems in the near future |
Beschreibung: | 1 Online-Ressource (XVI, 438 p) |
ISBN: | 9783642832482 |
DOI: | 10.1007/978-3-642-83248-2 |
Internformat
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Datensatz im Suchindex
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any_adam_object | |
author2 | Hoffmann, Geerd-R Snelling, David F. |
author2_role | edt edt |
author2_variant | g r h grh d f s df dfs |
author_facet | Hoffmann, Geerd-R Snelling, David F. |
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dewey-full | 551.5 |
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discipline | Geologie / Paläontologie |
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genre_facet | Konferenzschrift |
id | DE-604.BV045176958 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:10:45Z |
institution | BVB |
isbn | 9783642832482 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030566188 |
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physical | 1 Online-Ressource (XVI, 438 p) |
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publishDate | 1988 |
publishDateSearch | 1988 |
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publisher | Springer Berlin Heidelberg |
record_format | marc |
series2 | Topics in Atmospheric and Oceanic Sciences |
spelling | Multiprocessing in Meteorological Models edited by Geerd-R. Hoffmann, David F. Snelling Berlin, Heidelberg Springer Berlin Heidelberg 1988 1 Online-Ressource (XVI, 438 p) txt rdacontent c rdamedia cr rdacarrier Topics in Atmospheric and Oceanic Sciences Numerical weather prediction on the one hand needs a very large number of floating point calculations, but on the other hand is very time-critical. Therefore, the largest computers available, i.e., the "supercomputers", have usually been acquired by the national meteorological services long before they were used in other fields of research or business. Since the available technology limits the speed of any single computer, parallel computations have become necessary to achieve further improvements in the number of results produced per time unit. This book collects the papers presented at two workshops held at ECMWF on the topic of parallel processing in meteorological models. It provides an insight into the state-of-the-art in using parallel processors operationally and allows extrapolation to other time-critical applications. It also shows trends in migrating to massive parallel systems in the near future Earth Sciences Atmospheric Sciences Earth Sciences, general Earth sciences Atmospheric sciences Meteorologie (DE-588)4038953-4 gnd rswk-swf Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Parallelverarbeitung (DE-588)4075860-6 gnd rswk-swf Modellierung (DE-588)4170297-9 gnd rswk-swf 1\p (DE-588)1071861417 Konferenzschrift gnd-content Meteorologie (DE-588)4038953-4 s Datenverarbeitung (DE-588)4011152-0 s 2\p DE-604 Modellierung (DE-588)4170297-9 s 3\p DE-604 Parallelverarbeitung (DE-588)4075860-6 s 4\p DE-604 Hoffmann, Geerd-R. edt Snelling, David F. edt Erscheint auch als Druck-Ausgabe 9783642832505 https://doi.org/10.1007/978-3-642-83248-2 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Multiprocessing in Meteorological Models Earth Sciences Atmospheric Sciences Earth Sciences, general Earth sciences Atmospheric sciences Meteorologie (DE-588)4038953-4 gnd Datenverarbeitung (DE-588)4011152-0 gnd Parallelverarbeitung (DE-588)4075860-6 gnd Modellierung (DE-588)4170297-9 gnd |
subject_GND | (DE-588)4038953-4 (DE-588)4011152-0 (DE-588)4075860-6 (DE-588)4170297-9 (DE-588)1071861417 |
title | Multiprocessing in Meteorological Models |
title_auth | Multiprocessing in Meteorological Models |
title_exact_search | Multiprocessing in Meteorological Models |
title_full | Multiprocessing in Meteorological Models edited by Geerd-R. Hoffmann, David F. Snelling |
title_fullStr | Multiprocessing in Meteorological Models edited by Geerd-R. Hoffmann, David F. Snelling |
title_full_unstemmed | Multiprocessing in Meteorological Models edited by Geerd-R. Hoffmann, David F. Snelling |
title_short | Multiprocessing in Meteorological Models |
title_sort | multiprocessing in meteorological models |
topic | Earth Sciences Atmospheric Sciences Earth Sciences, general Earth sciences Atmospheric sciences Meteorologie (DE-588)4038953-4 gnd Datenverarbeitung (DE-588)4011152-0 gnd Parallelverarbeitung (DE-588)4075860-6 gnd Modellierung (DE-588)4170297-9 gnd |
topic_facet | Earth Sciences Atmospheric Sciences Earth Sciences, general Earth sciences Atmospheric sciences Meteorologie Datenverarbeitung Parallelverarbeitung Modellierung Konferenzschrift |
url | https://doi.org/10.1007/978-3-642-83248-2 |
work_keys_str_mv | AT hoffmanngeerdr multiprocessinginmeteorologicalmodels AT snellingdavidf multiprocessinginmeteorologicalmodels |