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Titlebook: Vectorization of Computer Programs with Applications to Computational Fluid Dynamics; Wolfgang Gentzsch Book 1984 Friedr. Vieweg & Sohn Ve

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Iterative Methods for a Model Problem,has some familiarity with the use of basic, iterative methods, such as presented for instance in the book of Hageman and Young 12241. Our discussion is closely tied to the CRAY-1 and the CYBER 205, but the philosophy of implementation is relevant for any vector computer.
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Vectorization of Algorithms in Computational Fluid Dynamics on the CRAY-1 Vector Computer,e governing equations for inviscid and viscous flows is well recognized, and this is documented by numerous publications based on the use of his methods for integrating steady as well as time-dependent Euler and Navier-Stokes equations. Best known are MacCormack’s purely explicit predictor-corrector
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Introduction: Supercomputers in Computational Fluid Dynamics, Scale Integrated circuits with more than 260000 transistors on one chip) is nearly fully developed. Future technologies such as GAAS (Gallium-Arsenid) or the super-conductive Josephson-Junction will cause an improvement in speed by a factor of about 10 to 20 but are not yet at our disposal.
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Restructuring of Basic Linear Algebraic Algorithms,and iterative methods for the solution of linear algebraic systems of equations with sparse matrices (cf. |2|, |4|, |21|, |26|, |27|, |28|, |30|, |31|, |32|, |33|, |34|, |47|, |51|, |61|, |67|, |69|, |81|, |102|, |111|, |125|, |126|, |137|, |170|, |179|, |181|, |197|, |198| and |204| for sparse systems).
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Vectorization of a Sample Program, on Different Vector and Parallel Computers,COR. For a better understanding of the parallelized versions corresponding to the DAP and HEP, the interested reader requires a knowledge of the special FORTRAN-language versions (cf. |74|, |144| and |101|, |191|, respectively).
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