Multiprocessing in Meteorological Models

1. Front Matter

   Pages I-XVI

   PDF

2. Introduction: The Case for Multi-Processing in Meteorological Applications

   1. Introduction: The Case for Multi-Processing in Meteorological Applications

      • Geerd-R. Hoffmann

      Pages 1-4

3. 3.–6. December 1984

   1. State of the Art of Multi-Processors

      • Oliver A. McBryan

      Pages 5-40

   2. Programming Languages for Multiprocessor Systems

      • R. H. Perrot

      Pages 41-52

   3. Practical Concerns in Multitasking on the Cray X-MP

      • John L. Larson

      Pages 53-65

   4. (r∞, n1/2 s1/2) Measurements on the 2-CPU Cray X-MP

      • Roger W. Hockney

      Pages 67-87

   5. MIMD Processing and the Denelcor HEP

      • David F. Snelling, Burton J. Smith

      Pages 89-95

   6. Using an IBM Multiprocessor System

      • A. L. Lim, D. B. Soll

      Pages 97-107

   7. Computer Requirements for Atmospheric Modelling

      • Lennart Bengtsson

      Pages 109-116

   8. The Current State of Meteorological Modelling

      • D. M. Burridge

      Pages 117-123

   9. Aspects of Using Multiprocessors for Meteorological Modelling

      • G.-R. Hoffmann, P. N. Swarztrauber, R. A. Sweet

      Pages 125-196

   10. Atmospheric Modelling on a SIMD Computer

       • M. J. Suarez

       Pages 197-201

   11. The Multitasking Spectral Model at ECMWF

       • David Dent

       Pages 203-213

   12. UK Meteorological Office’s Plans for Using Multiprocessor Systems

       • P. W. White, R. L. Wiley

       Pages 215-224

   13. Canadian Meteorological Services’ Plans for Using Multi-Processor Systems

       • Andrew Staniforth

       Pages 225-232

   14. Multiprocessors: Requirements and Consequences Summary of the Discussion

       • Pam Prior

       Pages 233-235

4. 8.–11. December 1986

   1. Tools for Assessing Multiprocessing

      • David F. Snelling

      Pages 237-253

   2. Dataflow Architectures and Implicit Parallel Programming

      • John Gurd

      Pages 255-282

   3. Transposing Large Arrays in Extended Memory

      • Paul N. Swarztrauber

      Pages 283-287

   4. An Approach to Automatic Parallel Processing

      • Bruce Leasure

      Pages 289-306

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.

• Weather
• environment
• integration
• modelling
• research

• European Centre for Medium-Range Weather Forecasts, Reading Berkshire, UK

  Geerd-R. Hoffmann, David F. Snelling

Policies and ethics