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Towards Teracomputing cover

The demand for more and more computer power in numerical weather prediction and meteorological research is as strong as ever. Previously, the world meteorological community tried to meet this demand by exploiting parallelism. In this field, the European Centre for Medium-Range Weather Forecasts has established itself as the central venue for bringing together operational weather forecasters, climate researchers and parallel computer manufacturers to share their experiences through a series of workshops held every other year. This book reports on the latest such workshop. It gives an excellent overview of the latest achievements in this field. The demand for and the developments towards Teracomputing, the next order of magnitude in meteorological supercomputing, are given particular attention.


Contents:
  • Research and Development for Medium and Extended-Range Forecasts (A Hollingsworth)
  • Performance Estimation of the Earth Simulator (M Yokokawa et al.)
  • An Operational Parallel Weather Prediction System (D Dent)
  • Parallel Aspects of ECMWF's Integrated Forecasting System (IFS) with Special Emphasis on Data Assimilation (M Hamrud)
  • Toward a Teraflop Computing Infrastructure at FNMOC (D W Jones et al.)
  • Parallel Fast Legendre Transform (M Alves de Inda et al.)
  • Future Requirement of Computer Power and Parallelization of NWP at JMA (C Muroi)
  • Fujitsu's High Performance Computing (K Uchida)
  • Load Balancing Physics Routines (R W Ford & P M Burton)
  • 4-D-Var Experiments on a Distributed Memory Parallel Computer (Y Trémolet & J Sela)
  • Environments for Sustaining and Sustainable Teracomputing — An Overview of the QSW Supercluster Architecture (J Taylor)
  • Year 2000 Weather Forecast Needs Teracomputing (H Mierendorff et al.)
  • Teraflops — A New Dimension for High Performance Computing in Meteorology (G-R Hoffmann)
  • Enhancing OpenMP with Features for Locality Control (B Chapman et al.)
  • Optimisation for Vector and RISC Processors (M Ashworth)
  • A Distributed Database for Observation Handling (S Saarinen)

Readership: Weather forecasters, climate researchers, meteorologists and computer scientists.