MPI PERFORMANCE AT CLUSTER NETWORKING GAUSS ELIMINATION CASE STUDY
Main goal of parallel computing are to accelarate the process for problem that big and complex. If the problem have been solving by single personal computer is take a long time to procceded. For instance, the process for the next day estimate wheather, which the process more than one day the resu...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/72822 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Main goal of parallel computing are to accelarate the process for problem that big
and complex. If the problem have been solving by single personal computer is take a
long time to procceded. For instance, the process for the next day estimate wheather,
which the process more than one day the result is nothing. So, the the problem in
parallel programming is about speedup and efficiency.
In this Thesis the parallel massage passing library used is MPI. The another earliest
massage passing library is PVM. The method beeing used are for measured speedup
and efficiency at the problem that can be comparation between sequential and
parallel. Because the speedup and efficiency in parallel environtment are
comparation between the sequential and parallel process speed. In this case the
problem is Gauss elimination. Gauss elimination were choiced because data
exchanged in Gauss elimination is very intensive. Composition between load that
represented by matrix dimention, process time and number of computer can be get
the optimized point of parallel. |
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