X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/hpcc2014.git/blobdiff_plain/110838f75e0d528d2afd7a8cd0fec6163d8a0527..85bdede0dce3662616d21678eafc402be648bb87:/hpcc.tex?ds=sidebyside diff --git a/hpcc.tex b/hpcc.tex index 109d4b0..aeafb67 100644 --- a/hpcc.tex +++ b/hpcc.tex @@ -483,7 +483,7 @@ The ratio between the simulated execution time of synchronous GMRES algorithm compared to the asynchronous multisplitting algorithm ($t_\text{GMRES} / t_\text{Multisplitting}$) is defined as the \emph{relative gain}. So, our objective running the algorithm in SimGrid is to obtain a relative gain greater than 1. A priori, obtaining a relative gain greater than 1 would be difficult in a local -area network configuration where the synchronous mode will take advantage on the +area network configuration where the synchronous GMRES method will take advantage on the rapid exchange of information on such high-speed links. Thus, the methodology adopted was to launch the application on a clustered network. In this configuration, degrading the inter-cluster network performance will penalize the @@ -657,10 +657,10 @@ Note that the program was run with the following parameters: After analyzing the outputs, generally, for the two clusters including one hundred hosts configuration (Tables~\ref{tab.cluster.2x50}), some combinations of parameters affecting the results have given a relative gain more than 2.5, showing the effectiveness of the -asynchronous performance compared to the synchronous mode. +asynchronous multiplsitting compared to GMRES with two distant clusters. With these settings, Table~\ref{tab.cluster.2x50} shows -that after a deterioration of inter cluster network with a bandwidth of \np[Mbit/s]{5} and a latency in order of one hundredth of millisecond and a processor power +that after setting the bandwidth of the inter cluster network to \np[Mbit/s]{5} and a latency in order of one hundredth of millisecond and a processor power of one GFlops, an efficiency of about \np[\%]{40} is obtained in asynchronous mode for a matrix size of 62 elements. It is noticed that the result remains stable even we vary the residual error precision from \np{E-5} to \np{E-9}. By