X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/loba-papers.git/blobdiff_plain/f13866736c2d1dda2bc227e4a05626ea5535e7d6..99c4629e78a3a929c5ba423fc7d6f11cb495e6f1:/supercomp11/supercomp11.tex diff --git a/supercomp11/supercomp11.tex b/supercomp11/supercomp11.tex index 1faf1b0..2f2dd31 100644 --- a/supercomp11/supercomp11.tex +++ b/supercomp11/supercomp11.tex @@ -195,11 +195,16 @@ condition or with a weaker condition. \section{Best effort strategy} \label{Best-effort} -In this section we describe a new load-balancing strategy that we call -\emph{best effort}. The general idea behind this strategy is that each -processor, that detects it has more load than some of its neighbors, -sends some load to the most of its less loaded neighbors, doing its -best to reach the equilibrium between those neighbors and himself. +In this section we describe a new load-balancing strategy that we call +\emph{best effort}. First, we explain the general idea behind this strategy, +and then we describe some variants of this basic strategy. + +\subsection{Basic strategy} + +The general idea behind the \emph{best effort} strategy is that each processor, +that detects it has more load than some of its neighbors, sends some load to the +most of its less loaded neighbors, doing its best to reach the equilibrium +between those neighbors and himself. More precisely, when a processor $i$ is in its load-balancing phase, he proceeds as following. @@ -246,12 +251,28 @@ he proceeds as following. \end{equation*} \end{enumerate} -\FIXME{describe parameter $k$} +\subsection{Leveling the amount to send} + +With the aforementioned basic strategy, each node does its best to reach the +equilibrium with its neighbors. Since each node may be taking the same kind of +decision at the same moment, there is the risk that a node receives load from +several of its neighbors, and then is temporary going off the equilibrium state. +This is particularly true with strongly connected applications. + +In order to reduce this effect, we add the ability to level the amount to send. +The idea, here, is to make smaller steps toward the equilibrium, such as a +potentially wrong decision has a lower impact. + +Concretely, once $s_{ij}$ has been evaluated as before, it is simply divided by +some configurable factor. That's what we named the ``parameter $k$'' in +Section~\ref{Results}. The amount of data to send is then $s_{ij}(t) = (\bar{x} +- x^i_j(t))/k$. +\FIXME{check the name ($k$)} \section{Other strategies} \label{Other} -\FIXME{Réécrire en angliche.} +\FIXME{Réécrire en anglais.} % \FIXME{faut-il décrire les stratégies makhoul et simple ?} @@ -508,16 +529,21 @@ settings, we simulated the executions on two sorts of platforms. These two sorts of platforms differ by their underlaid network topology. On the one hand, we have homogeneous platforms, modeled as a cluster. On the other hand, we have heterogeneous platforms, modeled as the interconnection of a number of clusters. + +The clusters were modeled by a fixed number of computing nodes interconnected +through a backbone link. Each computing node has a computing power of +1~GFlop/s, and is connected to the backbone by a network link whose bandwidth is +of 125~MB/s, with a latency of 50~$\mu$s. The backbone has a network bandwidth +of 2.25~GB/s, with a latency of 500~$\mu$s. + The heterogeneous platform descriptions were created by taking a subset of the Grid'5000 infrastructure\footnote{Grid'5000 is a French large scale experimental Grid (see \url{https://www.grid5000.fr/}).}, as described in the platform file \texttt{g5k.xml} distributed with SimGrid. Note that the heterogeneity of the -platform only comes from the network topology. The processor speeds, and -network bandwidths were normalized since our algorithms currently are not aware -of such heterogeneity. We arbitrarily chose to fix the processor speed to -1~GFlop/s, and the network bandwidth to 125~MB/s, with a latency of 50~$\mu$s, -except for the links between geographically distant sites, where the network -bandwidth was fixed to 2.25~GB/s, with a latency of 500~$\mu$s. +platform here only comes from the network topology. Indeed, since our +algorithms currently do not handle heterogeneous computing resources, the +processor speeds were normalized, and we arbitrarily chose to fix them to +1~GFlop/s. Then we derived each sort of platform with four different number of computing nodes: 16, 64, 256, and 1024 nodes. @@ -658,4 +684,4 @@ Taille : 10 100 très gros % LocalWords: Raphaël Couturier Arnaud Giersch Abderrahmane Sider Franche ij % LocalWords: Bertsekas Tsitsiklis SimGrid DASUD Comté Béjaïa asynchronism ji -% LocalWords: ik isend irecv Cortés et al chan ctrl fifo Makhoul +% LocalWords: ik isend irecv Cortés et al chan ctrl fifo Makhoul GFlop xml