hoffmann geerd r (6 Ergebnisse)

Zustand: Good. 532 pp., hardcover, ex library, else text and binding still clean, tight and bright. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Paperback. Zustand: Brand New. 392 pages. 9.53x6.69x0.89 inches. In Stock.

Auflage: 1. 376 Seiten Fast neuwertiges, ungelesenes Exemplar. Sprache: Englisch Gewicht in Gramm: 720 0,0 x 0,0 x 0,0 cm, Gebundene Ausgabe.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Paperback. Zustand: Brand New. reprint edition. 454 pages. 9.50x6.80x1.00 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.