wip++

[mpi-energy.git] / paper.tex

diff --git a/paper.tex b/paper.tex
index bfa1bc123373a5f472f6d8cc6a349e7fd2baba36..1ce2f6034c87f4cf2da2a87007c3943215805bc8 100644 (file)
--- a/paper.tex
+++ b/paper.tex
@@ -14,8 +14,9 @@
 % \usepackage{secdot}
 %\usepackage[font={footnotesize,bt}]{caption}
 %\usepackage[font=scriptsize,labelfont=bf]{caption}
 % \usepackage{secdot}
 %\usepackage[font={footnotesize,bt}]{caption}
 %\usepackage[font=scriptsize,labelfont=bf]{caption}

+\usepackage{xspace}

 \usepackage[textsize=footnotesize]{todonotes}
 \usepackage[textsize=footnotesize]{todonotes}

-\newcommand{\AG}[2][inline]{\todo[color=green!50,#1]{\sffamily\textbf{AG:} #2}}
+\newcommand{\AG}[2][inline]{\todo[color=green!50,#1]{\sffamily\textbf{AG:} #2}\xspace}

 
 \begin{document}
 
 
 \begin{document}
 


@@ -109,7 +110,9 @@ presented and classified in two parts : offline and online methods.
 The DVFS offline methods are static and are not executed during the runtime of
 the program. Some approaches used heuristics to select the best DVFS state
 during the compilation phases as an example in Azevedo et al.~\cite{40}. He used
 The DVFS offline methods are static and are not executed during the runtime of
 the program. Some approaches used heuristics to select the best DVFS state
 during the compilation phases as an example in Azevedo et al.~\cite{40}. He used

-intra-task algorithm to choose the DVFS setting when there are dependency points
+intra-task algorithm
+\AG{what is an ``intra-task algorithm''?}
+to choose the DVFS setting when there are dependency points

 between tasks. While in~\cite{29}, Xie et al. used breadth-first search
 algorithm to do that. Their goal is saving energy with time limits. Another
 approaches gathers and stores the runtime information for each DVFS state, then
 between tasks. While in~\cite{29}, Xie et al. used breadth-first search
 algorithm to do that. Their goal is saving energy with time limits. Another
 approaches gathers and stores the runtime information for each DVFS state, then


@@ -166,11 +169,13 @@ we consider execution of the synchronous tasks on distributed homogeneous
 platform. These tasks can exchange the data via synchronous memory passing.
 \begin{figure*}[t]
   \centering
 platform. These tasks can exchange the data via synchronous memory passing.
 \begin{figure*}[t]
   \centering

-  \subfloat[Synch. Imbalanced Communications]{\includegraphics[scale=0.67]{synch_tasks}\label{fig:h1}}
-  \subfloat[Synch. Imbalanced Computations]{\includegraphics[scale=0.67]{compt}\label{fig:h2}}
+  \subfloat[Sync. Imbalanced Communications]{\includegraphics[scale=0.67]{synch_tasks}\label{fig:h1}}
+  \subfloat[Sync. Imbalanced Computations]{\includegraphics[scale=0.67]{compt}\label{fig:h2}}

   \caption{Parallel Tasks on Homogeneous Platform}
   \label{fig:homo}
 \end{figure*}
   \caption{Parallel Tasks on Homogeneous Platform}
   \label{fig:homo}
 \end{figure*}

+\AG{On fig.~\ref{fig:h1}, how can there be a synchronization point without communications just before ?\\
+Use ``Sync.'' to abbreviate ``Synchronization''}

 Therefore, the execution time of a task consists of the computation time and the
 communication time. Moreover, the synchronous communications between tasks can
 lead to idle time while tasks wait at the synchronous point for others tasks to
 Therefore, the execution time of a task consists of the computation time and the
 communication time. Moreover, the synchronous communications between tasks can
 lead to idle time while tasks wait at the synchronous point for others tasks to


@@ -208,7 +213,7 @@ where V is the supply voltage, N is the number of transistors, $K_{design}$ is a
 design dependent parameter and $I_{leak}$ is a technology-dependent
 parameter. Energy consumed by an individual processor $E_{ind}$ is the summation
 of the dynamic and the static power multiply by the execution time for example
 design dependent parameter and $I_{leak}$ is a technology-dependent
 parameter. Energy consumed by an individual processor $E_{ind}$ is the summation
 of the dynamic and the static power multiply by the execution time for example

-see~\cite{36,15} .
+see~\cite{36,15}.

 \begin{equation}
   \label{eq:eind}
   E_{ind} = ( P_{dyn} + P_{static} ) \cdot T
 \begin{equation}
   \label{eq:eind}
   E_{ind} = ( P_{dyn} + P_{static} ) \cdot T


@@ -217,7 +222,7 @@ The dynamic voltage and frequency scaling (DVFS) is a process that allowed in
 modern processors to reduce the dynamic power by scaling down the voltage and
 frequency. Its main objective is to reduce the overall energy
 consumption~\cite{37}. The operational frequency \emph f depends linearly on the
 modern processors to reduce the dynamic power by scaling down the voltage and
 frequency. Its main objective is to reduce the overall energy
 consumption~\cite{37}. The operational frequency \emph f depends linearly on the

-supply voltage $V$, i.e., $V = \beta . f$ with some constant $\beta$. This
+supply voltage $V$, i.e., $V = \beta \cdot f$ with some constant $\beta$. This

 equation is used to study the change of the dynamic voltage with respect to
 various frequency values in~\cite{3}. The reduction process of the frequency are
 expressed by scaling factor \emph S. The scale \emph S is the ratio between the
 equation is used to study the change of the dynamic voltage with respect to
 various frequency values in~\cite{3}. The reduction process of the frequency are
 expressed by scaling factor \emph S. The scale \emph S is the ratio between the


@@ -226,8 +231,10 @@ maximum and the new frequency as in EQ~(\ref{eq:s}).
   \label{eq:s}
   S = \frac{F_{max}}{F_{new}}
 \end{equation}
   \label{eq:s}
   S = \frac{F_{max}}{F_{new}}
 \end{equation}

-The value of the scale \emph S is grater than 1 when changing the frequency to
-any new frequency value(\emph {P-state}) in governor. It is equal to 1 when the
+The value of the scale $S$ is greater than 1 when changing the frequency to
+any new frequency value (\emph {P-state}) in governor.
+\AG{Explain what's a governor}
+It is equal to 1 when the

 frequency are set to the maximum frequency.  The energy consumption model for
 parallel homogeneous platform is depending on the scaling factor \emph S. This
 factor reduces quadratically the dynamic power.  Also, this factor increases the
 frequency are set to the maximum frequency.  The energy consumption model for
 parallel homogeneous platform is depending on the scaling factor \emph S. This
 factor reduces quadratically the dynamic power.  Also, this factor increases the


@@ -347,7 +354,7 @@ figure~(\ref{fig:pred}).
 
 This section demonstrates our approach for choosing the optimal scaling
 factor. This factor gives maximum energy reduction taking into account the
 
 This section demonstrates our approach for choosing the optimal scaling
 factor. This factor gives maximum energy reduction taking into account the

-execution time for both computation and communication times . The relation
+execution time for both computation and communication times. The relation

 between the energy and the performance are nonlinear and complex, because the
 relation of the energy with scaling factor is nonlinear and with the performance
 it is linear see~\cite{17}. The relation between the energy and the performance
 between the energy and the performance are nonlinear and complex, because the
 relation of the energy with scaling factor is nonlinear and with the performance
 it is linear see~\cite{17}. The relation between the energy and the performance


@@ -482,7 +489,7 @@ in the MPI program.
  \For {$J:=1$ to $Some-Iterations \; $}
   \State -Computations Section.
    \State -Communications Section.
  \For {$J:=1$ to $Some-Iterations \; $}
   \State -Computations Section.
    \State -Communications Section.

-   \If {$(J==1)$} 
+   \If {$(J==1)$}

      \State -Gather all times of computation and\par
         \State      communication from each node.
      \State -Call EPSA with these times.
      \State -Gather all times of computation and\par
         \State      communication from each node.
      \State -Call EPSA with these times.


@@ -774,6 +781,12 @@ than the first.
 Computations have been performed on the supercomputer facilities of the
 Mésocentre de calcul de Franche-Comté.
 
 Computations have been performed on the supercomputer facilities of the
 Mésocentre de calcul de Franche-Comté.
 

+% trigger a \newpage just before the given reference
+% number - used to balance the columns on the last page
+% adjust value as needed - may need to be readjusted if
+% the document is modified later
+%\IEEEtriggeratref{15}
+

 \bibliographystyle{IEEEtran}
 \bibliography{IEEEabrv,my_reference}
 \end{document}
 \bibliographystyle{IEEEtran}
 \bibliography{IEEEabrv,my_reference}
 \end{document}


@@ -782,8 +795,8 @@ Mésocentre de calcul de Franche-Comté.
 %%% mode: latex
 %%% TeX-master: t
 %%% fill-column: 80
 %%% mode: latex
 %%% TeX-master: t
 %%% fill-column: 80

-%%%ispell-local-dictionary: "american"
+%%% ispell-local-dictionary: "american"

 %%% End:
 
 %  LocalWords:  Badri Charr FIXME Tianhe DVFS HPC NAS NPB SMPI Rauber's Rauber
 %%% End:
 
 %  LocalWords:  Badri Charr FIXME Tianhe DVFS HPC NAS NPB SMPI Rauber's Rauber

-%  LocalWords:  CMOS EQ EPSA
+%  LocalWords:  CMOS EQ EPSA Franche Comté Tflop