High performance preconditioning on supercomputers for the 3D device simulator MINIMOS

  • Authors:
  • K. P. Traar;W. Mader;O. Heinreichsberger;S. Selberherr;M. Stiftinger

  • Affiliations:
  • SIEMENS AG österreich, Electronic Developement, Gudrunstr. 11, A-1101 Vienna, Austria;SIEMENS AG österreich, Electronic Developement, Gudrunstr. 11, A-1101 Vienna, Austria;Institut für Mikroelektronik, TU-Vienna, Guβhausstrasse 27-29, A-1040 Vienna, Austria;Institut für Mikroelektronik, TU-Vienna, Guβhausstrasse 27-29, A-1040 Vienna, Austria;Institut für Mikroelektronik, TU-Vienna, Guβhausstrasse 27-29, A-1040 Vienna, Austria

  • Venue:
  • Proceedings of the 1990 ACM/IEEE conference on Supercomputing
  • Year:
  • 1990

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Abstract

Discretization and iterative solution of the semiconductor equations in a three-dimensional rectangular region lead to very large sparse linear systems. Nevertheless, design engineers and scientists of device physics need reliable results in short time in order to draw the best advantage out of computer simulation when designing new technologies and advanced devices. This goal can be achieved by use of pre-conditioned iterative methods for the solution of the linear equations on powerful computers as vector and concurrent supercomputers. To achieve optimum performance of such methods special algorithms and coding techniques have to be used in order to allow vectorization and parallelization of the inherent recurrence relations. We have investigated Jacobi and incomplete LU-factorization methods along with various hand tuning options with special emphasis on application on a SIEMENS/Fujitsu VP200. Results are compared with those obtained on a Cray-2 and an ALLIANT/FX40 minisupercomputer.