Basic HTML version of Foils prepared 6 December 96

Foil 2 Abstract of Full Matrix CPS615 Module

From Full Matrices - December 4, 1995 CPS615 Basic Simulation Track for Computational Science -- Fall Semester 95. by Geoffrey C. Fox, Nancy J. McCracken


1 This CPS615 module covers basic full matrix parallel algorithms with a discussion of matrix multiplication, LU decomposition with latter covered for banded as well as true full case
2 Matrix multiplication covers the approach given in "Solving Problems on Concurrent Processors" as well as Cannon's algorithm.
3 We review those applications -- especially Computational electromagnetics and Chemistry -- where full matrices are commonly used
4 Of course sparse matrices are far more important than full matrices!

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© on Tue Oct 7 1997