Hoffmann / Maretis The Dawn of Massively Parallel Processing in Meteorology

Proceedings of the 3rd Workshop on Use of Parallel Processors in Meteorology
Erscheinungsjahr 2012
ISBN: 978-3-642-84020-3
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 376 Seiten, eBook

Reihe: Topics in Atmospheric and Oceanic Sciences

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.

Zielgruppe

Research

Autoren/Hrsg.

Hoffmann, Geerd-R.

Maretis, Dimitris K.

Inhaltsverzeichnis

Introduction: The Dawn of Massively Parallel Processing in Meteorology.- An Introduction to Parallel Processing in Meteorology.- A Modestly Parallel Model.- Implementation of Atmospheric Models on Large Multi-Processor Surfaces.- A Meteorological Model on a Transputer Network.- Benefits and Challenges from Parallel Processing: The View from NCAR.- Multitasking on the ETA10.- Multitasking the Meteorological Office Forecast Model on an ETA10.- Multiprocessing of a Mesoscale Model.- Parallel Processing at Cray Research, Inc..- Inherent Parallelism in Numerical Weather Prediction Algorithms.- Report of Application of the Parallel Algorithm in NWP at SMA.- Operating Systems and Strategies for Highly Concurrent Systems.- The SUPRENUM Architecture and Its Application to Computational Fluid Dynamics.- Data Parallel Supercomputing.- Solving the Shallow Water Equations on the Cray X-MP/48 and the Connection Machine 2.- Some Computational Fluid Dynamics Applications on the Intel iPSC/2.- Parallel Implementation of Advection Calculations in Pseudospectral Atmospheric Hydrodynamical Models.- Asymptotic Parallelism of Weather Models.- Meteorological Modelling on the DAP Series of Computers.- Execution of Scientific Algorithms on the Parallel Computer Parawell.- Numerical Solution of the Primitive Equations on the Connection Machine.- A Distributed Memory Implementation of the Shallow Water Equations.- Highly Parallel Architectures in Meteorological Applications (Summary of the Discussion).