Parallel Perfomance Prediction for Multilevel Numerical Software
 
 
Description:  We propose a model for describing and predicting the performance of parallel numerical multilevel software on distributed memory architectures within a multi-cluster environment. The goal of the model is to allow reliable predictions to be made as to the execution time of a given code on a large number of processors of a given parallel system, and on a combination of systems, by only benchmarking the code on small numbers of processors. We analyze the performance of our model with respect to the information available regarding the parallel system and the code used. In addition to reporting the results applied to benchmark multigrid codes, we also provide results which demonstrate that this performance is also achieved when applied to a practical multilevel engineering code.
Area(s):
Date:  2008-10-16
Speaker:  Giuseppe Romanazzi (CMUC)
Place:  5.5
Research Groups: -Numerical Analysis and Optimization
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