From f48b065ad7039e174cf0042b534ac697c719decb Mon Sep 17 00:00:00 2001 From: jean-claude Date: Mon, 30 May 2016 11:46:58 +0200 Subject: [PATCH] corrections --- mpi-energy2-extension/Heter_paper.tex | 44 +++++++++++------------- mpi-energy2-extension/review/review.pdf | Bin 151926 -> 152277 bytes mpi-energy2-extension/review/review.tex | 13 ++++--- 3 files changed, 29 insertions(+), 28 deletions(-) diff --git a/mpi-energy2-extension/Heter_paper.tex b/mpi-energy2-extension/Heter_paper.tex index 0973f10..4b55dd4 100644 --- a/mpi-energy2-extension/Heter_paper.tex +++ b/mpi-energy2-extension/Heter_paper.tex @@ -208,14 +208,24 @@ reductions. All the experimental results were conducted over the SimGrid simulator \cite{SimGrid}, which offers easy tools to describe homogeneous and heterogeneous platforms, and to simulate the execution of message passing parallel applications over them. -In this paper, a new frequency selecting algorithm, adapted to grid platforms -composed of heterogeneous clusters, is presented. It is applied to the NAS + +This paper presents the following contributions : +\begin{enumerate} +\item two new energy and performance models for message passing + synchronous applications with iterations running over a heterogeneous grid platform. Both models + take into account communications and slack times. The models can predict the + required energy and the execution time of the application. + +\item a new online frequency selecting algorithm for heterogeneous grid + platforms. The algorithm has a very small overhead and does not need any + training nor profiling. It uses a new optimization function which + simultaneously maximizes the performance and minimizes the energy consumption + of a message passing synchronous application with iterations. The algorithm was applied to the NAS parallel benchmarks and evaluated over a real testbed, the Grid'5000 platform -\cite{grid5000}. It selects for a grid platform running a message passing - application with iterations the vector of frequencies that simultaneously tries to -offer the maximum energy reduction and minimum performance degradation -ratios. The algorithm has a very small overhead, works online and does not need -any training or profiling. +\cite{grid5000}. + +\end{enumerate} + This paper is organized as follows: Section~\ref{sec.relwork} presents some @@ -300,21 +310,7 @@ some heuristic. Chen et al.~\cite{Chen_DVFS.under.quality.of.service.requirements} used a greedy dynamic programming approach to minimize the power consumption of heterogeneous servers while respecting given time constraints. This approach had considerable -overhead. In contrast to the above described papers, this paper presents the -following contributions : -\begin{enumerate} -\item two new energy and performance models for message passing - synchronous applications with iterations running over a heterogeneous grid platform. Both models - take into account communication and slack times. The models can predict the - required energy and the execution time of the application. - -\item a new online frequency selecting algorithm for heterogeneous grid - platforms. The algorithm has a very small overhead and does not need any - training nor profiling. It uses a new optimization function which - simultaneously maximizes the performance and minimizes the energy consumption - of a message passing synchronous application with iterations. - -\end{enumerate} +overhead. @@ -388,7 +384,7 @@ vector of scaling factors can be predicted using Equation (\ref{eq:perf}). \begin{equation} \label{eq:perf} \Tnew = \mathop{\max_{i=1,\dots N}}_{j=1,\dots,M_i}({\TcpOld[ij]} \cdot S_{ij}) - +\mathop{\min_{j=1,\dots,M_i}} (\Tcm[hj]) + +\mathop{\min_{j=1,\dots,M_h}} (\Tcm[hj]) \end{equation} % where $N$ is the number of clusters in the grid, $M_i$ is the number of nodes in @@ -573,7 +569,7 @@ where $Tnew$ is computed as in (\ref{eq:perf}) and $Told$ is computed as in (\re \begin{equation} \label{eq:told} \Told = \mathop{\max_{i=1,\dots N}}_{j=1,\dots,M_i}({\TcpOld[ij]} ) - +\mathop{\min_{j=1,\dots,M_i}} (\Tcm[hj]) + +\mathop{\min_{j=1,\dots,M_h}} (\Tcm[hj]) \end{equation} } In the same way, the energy is normalized by computing the ratio between the diff 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