X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/loba-papers.git/blobdiff_plain/3c2f33b63a5a1a5dd563955b54c361efaa0d2690..1e4ddc1ac6f6e145312650aa924c3a98871a0dbc:/supercomp11/supercomp11.tex?ds=sidebyside diff --git a/supercomp11/supercomp11.tex b/supercomp11/supercomp11.tex index a7bc09a..2c1cb7c 100644 --- a/supercomp11/supercomp11.tex +++ b/supercomp11/supercomp11.tex @@ -638,13 +638,28 @@ With these constraints in mind, we defined the following metrics: In this section, the results for the different simulations will be presented, and we'll try to explain our observations. -\FIXME{cluster vs. grid : cluster légèrement plus rapide, mais c'est tout -> chose to give results for grid only.} +\subsubsection{Cluster vs grid platforms} -\FIXME{explain how to read the graphs} +As mentioned earlier, we simulated the different algorithms on two kinds of +physical platforms: clusters and grids. A first observation that we can make, +is that the graphs we draw from the data have a similar aspect for the two kinds +of platforms. The only noticeable difference is that the algorithms need a bit +more time to achieve the convergence on the grid platforms, than on clusters. +Nevertheless their relative performances remain generally identical. -\subsubsection{Main results} +This suggests that the relative performances of the different strategies are not +influenced by the characteristics of the physical platform. The differences in +the convergence times can be explained by the fact that on the grid platforms, +distant sites are interconnected by links of smaller bandwith. + +Therefore, in the following, we'll only discuss the results for the grid +platforms. The different results are presented on the +figures~\ref{fig.results1} and~\ref{fig.resultsN}. -\begin{figure} +\FIXME{explain how to read the graphs} +ratio 1:1 not given here + +\begin{figure*}[p] \centering \includegraphics[width=.5\linewidth]{data/graphs/R1-1:10-grid-line}% \includegraphics[width=.5\linewidth]{data/graphs/R1-10:1-grid-line} @@ -654,17 +669,9 @@ and we'll try to explain our observations. \includegraphics[width=.5\linewidth]{data/graphs/R1-10:1-grid-hcube} \caption{Real mode, initially on an only mode, comp/comm ratio = 1/10 (left), or 10/1 (right).} \label{fig.results1} -\end{figure} - -On fig.~\ref{fig.results1}, \dots - -\subsubsection{With the virtual load extension} +\end{figure*} -\subsubsection{The $k$ parameter} - -\subsubsection{With an initial random repartition, and larger platforms} - -\begin{figure} +\begin{figure*}[p] \centering \includegraphics[width=.5\linewidth]{data/graphs/RN-1:10-grid-line}% \includegraphics[width=.5\linewidth]{data/graphs/RN-10:1-grid-line} @@ -674,7 +681,17 @@ On fig.~\ref{fig.results1}, \dots \includegraphics[width=.5\linewidth]{data/graphs/RN-10:1-grid-hcube} \caption{Real mode, random initial distribution, comp/comm ratio = 1/10 (left), or 10/1 (right).} \label{fig.resultsN} -\end{figure} +\end{figure*} + +\subsubsection{Main results} + +On fig.~\ref{fig.results1}, \dots + +\subsubsection{With the virtual load extension} + +\subsubsection{The $k$ parameter} + +\subsubsection{With an initial random repartition, and larger platforms} \subsubsection{With integer load}