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E-raamat: High Performance Computing in the Geosciences

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  • Sari: NATO Science Series C 462
  • Ilmumisaeg: 06-Dec-2012
  • Kirjastus: Springer
  • Keel: eng
  • ISBN-13: 9789401100335
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  • Formaat: PDF+DRM
  • Sari: NATO Science Series C 462
  • Ilmumisaeg: 06-Dec-2012
  • Kirjastus: Springer
  • Keel: eng
  • ISBN-13: 9789401100335

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High Performance Computing in the Geosciences surveys the state of the art of programs presently being developed which require high performance computing for their implementation, provides a guide for decision making in regard to computing directions in future numerical models, and provides an overview of future developments in massively parallel processing and their implications for numerical modelling in the geosciences.


Proceedings of the NATO Advanced Research Workshop, Centre de Physique, Les Houches, France, 21--25 June 1993

Muu info

Springer Book Archives
Performance and Portability in Parallel Computing: a Weather Forecast
View.- The New Canadian Variable-Resolution Model: a Universal Tool to Study
Atmospheric Phenomena on a Broad Temporal and Spatial Scale.- Experiences
with Parallel Programming in Meteorology.- Porting the Quasi-Nonhydrostatic
Meteorological Model to the Kendall Square Research KSR1.- Automatic
Differentiation, Tangent Linear Models, and (Pseudo-) Adjoints.- Iterative
Domain Decomposition Algorithms: Theory and Applications.- Parallel Computing
and Operational Sea-Ice Forecasting.- Coupled Ocean-Atmosphere Simulations.-
First Considerations about Modelling the Ocean General Circulation on MIMD
Machines by Domain Decomposition Method.- Predicibility of the Oceanic
Circulations.- Application of Fifth-Order Compact Upwind Differencing to
Moisture Transport Equation in AGCM.- A Parallel Algorithm for Simulation of
Long Range Transport of Air Pollution.- Multidisciplinary Mathematical Model
for Earthquake Prediction Studies.- Basic Functional Representation of
Programs for Automatic Differentiation in the Odyssée System.- Translation
Tools for High Performance Computing.- Global Atmospheric and Ocean Modeling
on the Connection Machine.- Efficiency of a Number of Processors in
Integrating a Global Weather Model.