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On Estimating Machine Dependency of Fine– and Coarse–Grained Parallel Structural Computations
Author(s) -
Watkins W. J.,
Kennedy D.,
Williams F. W.
Publication year - 1997
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/0885-9507.00050
Subject(s) - parallel computing , computer science , computation , dependency (uml) , eigenvalues and eigenvectors , simple (philosophy) , computational science , speedup , parallel algorithm , distributed memory , parallel processing , algorithm , shared memory , artificial intelligence , philosophy , physics , epistemology , quantum mechanics
Fine– and coarse–grained parallel methods for the calculation of structural eigenvalues are evaluated using two distributed–memory parallel computers having similar architectures but a significant difference in the ratio between calculation speed and communication speed. A simple computational model is used to devise a simulation procedure that enables predictions to be made on one parallel computer of the solution times that would be obtained on parallel computers having different values of this ratio. Thus the speed–up and efficiency of parallel methods can be presented in a general form rather than being specific to the computer used to obtain them.