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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 1993High 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.
Preface. Performance and Portability in Parallel Computing: A Weather Forecast View; B. Rodriguez, L. Hart, T. Henderson. The New Canadian Variable-Resolution Model: A Universal Tool to Study Atmospheric Phenomena on a Broad Temporal and Spatial Scale; S. Gravel, J. Cot?, A. Staniforth, M. Roch, A. Patoine. Experiences with Parallel Programming in Meteorology; F. G. Wollenweber. Porting the Quasi-Nonhydrostatic Meteorological Model to the Kendall Square Research KSR1; C. F. Baillie, A.E. MacDonald, S. Sun. Automatic Differentiation, Tangent Linear Models, and (Pseudo-) Adjoints; C. H. Bischof. Iterative Domain Decomposition Algorithms: Theory and Applications; Y. Cai, I. M. Vavon. Parallel Computing and Operational Sea-Ice Forecasting; J. Cook. Coupled Ocean-Atmosphere Simulations; L. Terray, O. Thual. First Considerations about Modelling the Ocean General Circulation on MIMD Machines by Domain Decomposition Method; M. Guyon, M. Chlă9
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