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The Dawn of Massively Parallel Processing in Meteorology - Proceedings of the 3rd Workshop on Use of Parallel Processors in... The Dawn of Massively Parallel Processing in Meteorology - Proceedings of the 3rd Workshop on Use of Parallel Processors in Meteorology (Paperback, Softcover reprint of the original 1st ed. 1990)
Geerd R. Hoffmann, Dimitris K. Maretis
R1,447 Discovery Miles 14 470 Ships in 18 - 22 working days

The Dawn of Massively Parallel Processing in Meteorology presents collected papers of the third workshop on this topic held at the European Centre of Medium-Range Weather Forecasts (ECMWF). 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 documents the advent of massively parallel systems to cope with these applications.

Multiprocessing in Meteorological Models (Paperback, Softcover reprint of the original 1st ed. 1988): Geerd R. Hoffmann, David... Multiprocessing in Meteorological Models (Paperback, Softcover reprint of the original 1st ed. 1988)
Geerd R. Hoffmann, David F. Snelling
R2,712 Discovery Miles 27 120 Ships in 18 - 22 working days

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.

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