U. Gaertel, W. Joppich, and A. Schueller. Medium-range weather forecast on parallel systems. pages 388--391. IEEE, August 1994.  Home/Search   Document Not in Database   Summary   Related Articles   Check

.... Further parallelizations by this research group concern a large scale nCube 2, where they attain an efficiency of 86 on 86 processors using the 2 D ECMF weather forecast model [33] and efficiencies of about 85 on 8 processors on an IBM SP1 machine with the 3 D ECMF weather forecast model [34]. In the U.S. Jacob et al. 7] solve the shallow water model in a plane on a 20 processor Encore Multimax shared memory machine, comparing finite difference vs. spectral transport solution methods. Mixed parallelization methods are used, where the three different equations of the shallow water ....

U. Gaertel, W. Joppich, and A. Schueller. Medium-range weather forecast on parallel systems. pages 388--391. IEEE, August 1994.

....has become a viable goal. Concurrent applications can span from everyday applications to numerical and supercomputing applications which include a diverse spectrum of computational problems ranging from partial differential equations to global weather simulation to molecular sequence analysis [3, 5, 19, 28, 52, 62, 72, 73, 33, 74]. In addition to intrinsic limitations such as latencies introduced by increased physical distances between networked hosts, two key issues need to be addressed to facilitate a distributed computing environment capable of emulating the prowess of tightly coupled parallel computers communication ....

U. Gaertel, W. Joppich, and A. Schueller. Medium-range weather forecast on parallel systems. In Proceedings of the Scalable High-Performance Computing Conference, May 23--25, 1994, Knoxville, Tennessee, pages 388--391, 1994.

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