By J. B. Vos, C. M. Bergman (auth.), C. A. Brebbia, A. Peters, D. Howard (eds.)
This ebook includes an edited model of the complaints of the 2d Interna tional convention on functions of Supercomputers in Engineering which happened on the Massachusetts Institute of expertise, Cambridge, united states in the course of August 1991. The convention was once prepared through the Wessex Insti tute of expertise, Southampton, united kingdom with the aid of the overseas Society for Boundary parts. the 1st foreign convention on Ap plications of Supercomputers in Engineering held in Southampton, united kingdom in September 1989 used to be a truly profitable assembly and the ensuing convention court cases at the moment are commonly allotted through the global. The innovative points of the following iteration of desktops at the moment are totally known through many engineers and scientists. Vector and parallel desktops shape the root of the computing energy had to tackle the complicated prob lems with which engineers are confronted. the hot machines not just raise the scale of the issues which might be solved, but in addition require a special computational method of receive the most productive results.
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Extra info for Applications of Supercomputers in Engineering II
Jour. 73-105, 1983. Evans, DJ. B. uJbx 2 + rl-uIOy2 - Int. Jour. Comp. , Vol. 14, pp. 325 -354, 1983. Evans, DJ. New Parallel Algorithms for Partial Differential Equations, (Ed. , Joubert, J. ), pp. , North Holland, 1984. Applications of Supercomputers in Engineering 49 9. 10. 11. 12. 13. 14. 15. Evans, OJ. Parallel Algorithm Oesign (Ee\. Evans, OJ. and Sutti, C), pp. 1 to 24, Proceedings of the Int. Meet. on Parallel Computing, Verona, Italy, 1988, Adam Hilger, Bristol and Philadelfia, 1989. , 1988.
The sparse diagonals are stored in packed form to reduce the main memory requirement. The linear system is solved by generalized CG (conjugate grad ient)-type methods. The most time consuming part in this solution is the matrix-vector-multiplication (MVM), which has to be performed many times with varying right-hand sides. This kernel operation is perfectly vectorizable, see . To reduce the elapsed time of this application, parallelization has to be applied to the MVM. Naturally, the diagonals of the matrix can be processed on different processors, in the case of the S Series multiprocessors on two vector units.
With the unique dual scalar architecture, these models include four scalar units and two vector units, where each vector unit is shared by two scalar units. Several multiprocessing requirements can be fulfilled. A single job without parallelization reaches a high performance thanks to the powerful scalar and vector units. The throughput of such a supercomputer is optimized for the needs of big computer centers. The elapsed time of large scale applications can be reduced by parallelizing the source code with the help of the new compiler FORTRAN77 EXIPP.