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High-Resolution Weather Forecasting: A Teraflop Sustained on RISC/cache or Vector Processors

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Part of the book series: The International Series in Engineering and Computer Science ((SECS,volume 541))

Abstract

The next generation of supercomputers will be based on clusters of symmetric multi-processor (SMP) nodes interconnected by low-latency, high-bandwidth networks. Individual nodes will contain from 1 to 128 RISC/cache or vector processors in a shared or distributed-shared memory (DSM) configuration. These machines support a hybrid programming model combining sharedmemory threads (Open/MP) with distributed-memory message-passing (MPI). We discuss the various design considerations, trade-offs and constraints in the construction of high-performance atmospheric models capable of achieving one TeraFlop of sustained performance.

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© 2002 Kluwer Academic Publishers

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Thomas, S.J., Desgagné, M., Valin, M. (2002). High-Resolution Weather Forecasting: A Teraflop Sustained on RISC/cache or Vector Processors. In: Pollard, A., Mewhort, D.J.K., Weaver, D.F. (eds) High Performance Computing Systems and Applications. The International Series in Engineering and Computer Science, vol 541. Springer, Boston, MA. https://doi.org/10.1007/0-306-47015-2_31

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  • DOI: https://doi.org/10.1007/0-306-47015-2_31

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-7923-7774-0

  • Online ISBN: 978-0-306-47015-8

  • eBook Packages: Springer Book Archive

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