addind the presentation corrections

[ThesisAhmed.git] / thesis-presentation / AhmedSlides.tex

diff --git a/thesis-presentation/AhmedSlides.tex b/thesis-presentation/AhmedSlides.tex
index 9bb4b6f7df7e151fa00ce96188de24fb5a7ac9bf..2a57d28c6b77ecb4a5e766fa6b1eb06b6d8fde9e 100644 (file)
--- a/thesis-presentation/AhmedSlides.tex
+++ b/thesis-presentation/AhmedSlides.tex
@@ -22,7 +22,7 @@
 \usepackage{fixltx2e}
 %% used to put some subscripts lower, and make them more legible
 \newcommand{\fxheight}[1]{\ifx#1\relax\relax\else\rule{0pt}{1.52ex}#1\fi}
 \usepackage{fixltx2e}
 %% used to put some subscripts lower, and make them more legible
 \newcommand{\fxheight}[1]{\ifx#1\relax\relax\else\rule{0pt}{1.52ex}#1\fi}

-
+\usepackage{ragged2e}

 \newcommand{\CL}{\Xsub{C}{L}}
 \newcommand{\Dist}{\mathit{Dist}}
 \newcommand{\EdNew}{\Xsub{E}{dNew}}
 \newcommand{\CL}{\Xsub{C}{L}}
 \newcommand{\Dist}{\mathit{Dist}}
 \newcommand{\EdNew}{\Xsub{E}{dNew}}


@@ -109,13 +109,60 @@
 \tableofcontents
 \end{frame}
 
 \tableofcontents
 \end{frame}
 

-

 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 03    %%
 %%%%%%%%%%%%%%%%%%%% 
 \begin{frame}{Introduction and problem definition}
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 03    %%
 %%%%%%%%%%%%%%%%%%%% 
 \begin{frame}{Introduction and problem definition}

- \section{\small {Introduction and Problem definition}}
-   \bf \textcolor{blue}{To get more computing power:}
+\section{\small {Introduction and Problem definition}}
+ \centering
+ \includegraphics[width=0.99\textwidth]{para.pdf} 
+\end{frame}
+
+ 
+ 
+ 
+
+ 
+
+
+\begin{frame}{Execution of synchronous parallel tasks}
+\vspace{-0.5 cm}
+\begin{figure}
+  \centering
+  \subfloat[Synchronous imbalanced communications]{%
+    \includegraphics[scale=0.49]{c1/commtasks}\label{fig:h1}}
+  \subfloat[Synchronous imbalanced computations]{%
+    \includegraphics[scale=0.49]{c1/compt}\label{fig:h2}}
+ % \caption{Parallel tasks on homogeneous platform}
+  \label{fig:homo}
+\end{figure}
+
+ \end{frame}
+ 
+ 
+%%%%%%%%%%%%%%%%%%%%
+%%    SLIDE 07   %%
+%%%%%%%%%%%%%%%%%%%% 
+
+
+\begin{frame}{\large Synchronous and asynchronous iterative methods }
+\vspace{-0.5 cm}
+\begin{figure}
+
+\includegraphics[scale=0.42]{syn_tasks.pdf}
+\vspace{0.6 cm}
+\includegraphics[scale=0.42]{Asyn_tasks.pdf}
+\end{figure}
+
+ 
+ \end{frame}
+ 
+ %%%%%%%%%%%%%%%%%%%%
+%%    SLIDE 03    %%
+%%%%%%%%%%%%%%%%%%%% 
+\begin{frame}{Approaches to get more computing power}
+ 
+   %\bf \textcolor{blue}{}

      \begin{minipage}{0.5\textwidth} 
       \textcolor{blue}{1)} \small  \bf \textcolor{black}{Increase the frequency of a  processor.\\ (limited due to overheating)}
     \end{minipage}%
      \begin{minipage}{0.5\textwidth} 
       \textcolor{blue}{1)} \small  \bf \textcolor{black}{Increase the frequency of a  processor.\\ (limited due to overheating)}
     \end{minipage}%


@@ -128,7 +175,7 @@
     \end{minipage}%
     \vspace{0.2cm}
     \begin{minipage}{0.5\textwidth} 
     \end{minipage}%
     \vspace{0.2cm}
     \begin{minipage}{0.5\textwidth} 

-     \textcolor{blue}{2)} \small \bf \textcolor{black}{Use more nodes.}
+     \textcolor{blue}{2)} \small \bf \textcolor{black}{Increase the number of nodes.}

      
  \textcolor{black}{The supercomputer Tianhe-2 has more than 3 million cores and consumes around 17.8 megawatts.}  
           
      
  \textcolor{black}{The supercomputer Tianhe-2 has more than 3 million cores and consumes around 17.8 megawatts.}  
           


@@ -142,7 +189,6 @@
  
  
  
  
  
  

-

  %%%%%%%%%%%%%%%%%%%
 %%    SLIDE 04   %%
 %%%%%%%%%%%%%%%%%%%% 
  %%%%%%%%%%%%%%%%%%%
 %%    SLIDE 04   %%
 %%%%%%%%%%%%%%%%%%%% 


@@ -151,26 +197,27 @@
      \textcolor{blue}{1)} \bf \textcolor{black}{Switch-off idle nodes method}  
     \vspace{-0.9cm}
     \begin{figure}
      \textcolor{blue}{1)} \bf \textcolor{black}{Switch-off idle nodes method}  
     \vspace{-0.9cm}
     \begin{figure}

-     \animategraphics[autopause,loop,controls,scale=0.25,buttonsize=0.2cm]{200}{on-off/a-}{0}{69}
+     \animategraphics[autopause,controls,scale=0.26,buttonsize=0.2cm]{200}{on-off/a-}{0}{111}

      %\includegraphics[width=0.6\textwidth]{on-off/a-69}
     \end{figure}
  \end{frame}
 
 %%%%%%%%%%%%%%%%%%%%
      %\includegraphics[width=0.6\textwidth]{on-off/a-69}
     \end{figure}
  \end{frame}
 
 %%%%%%%%%%%%%%%%%%%%

-%%    SLIDE 06    %%
+%%    SLIDE 05    %%

 %%%%%%%%%%%%%%%%%%%% 
 \begin{frame}{Techniques for energy consumption reduction}
  
 %%%%%%%%%%%%%%%%%%%% 
 \begin{frame}{Techniques for energy consumption reduction}
  

-  \textcolor{blue}{2)} \bf \textcolor{black}{Dynamic voltage and frequency Scaling (DVFS)}
+  \textcolor{blue}{2)} \bf \textcolor{black}{Dynamic Voltage and Frequency Scaling (DVFS)}

      \vspace{-0.9cm}
     \begin{figure}
      \vspace{-0.9cm}
     \begin{figure}

-    \animategraphics[autopause,controls,scale=0.25,buttonsize=0.2cm]{10}{DVFS-meq/a-}{0}{109}
+    \animategraphics[autopause,controls,scale=0.26,buttonsize=0.2cm]{10}{DVFS-meq/a-}{0}{175}

      %\includegraphics[width=0.6\textwidth]{DVFS-meq/a-109}
     \end{figure}
     \end{frame}
  
      %\includegraphics[width=0.6\textwidth]{DVFS-meq/a-109}
     \end{figure}
     \end{frame}
  

-
-
+%%%%%%%%%%%%%%%%%%%%
+%%    SLIDE 06   %%
+%%%%%%%%%%%%%%%%%%%% 

 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 07    %%
 %%%%%%%%%%%%%%%%%%%% 
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 07    %%
 %%%%%%%%%%%%%%%%%%%% 


@@ -203,7 +250,7 @@
 
  \begin{block}{\textcolor{white}{Challenge and Objective}}
 
 
  \begin{block}{\textcolor{white}{Challenge and Objective}}
 

-       \small  \textcolor{blue}{Challenge:} \textcolor{black}{DVFS is used to reduce the energy consumption, \textcolor{blue}{but} it degrades the performance simultaneously.}
+       \small  \textcolor{blue}{Challenge:} \textcolor{black}{DVFS is used to reduce the energy consumption, \textcolor{blue}{but} it also degrades the performance of the CPU.}

                
                \vspace{0.1cm}
  \small         \textcolor{blue}{Objective:} \textcolor{black}{Applying the DVFS to minimize the energy consumption while maintaining the performance of the parallel application.}
                
                \vspace{0.1cm}
  \small         \textcolor{blue}{Objective:} \textcolor{black}{Applying the DVFS to minimize the energy consumption while maintaining the performance of the parallel application.}


@@ -239,43 +286,27 @@ for a warehouse-sized computer.
 %%%%%%%%%%%%%%%%%%%% 
  
 \begin{frame}{Objectives}
 %%%%%%%%%%%%%%%%%%%% 
  
 \begin{frame}{Objectives}

-        \begin{femtoBlock}{} \vspace{-12 mm}
-                \begin{itemize} \small
-                   \item  Study the effect of the scaling factor on the \textbf{energy consumption and performance } of parallel  applications with iterations. \medskip
+        
+                \begin{itemize}   \small \justifying
+                 
+                   \item   Studying the effect of the scaling factor on the \textbf{energy consumption and performance } of parallel  applications with iterations. \medskip

                    
                    

-                   \item  Discovering the \textbf{energy-performance trade-off relation} when changing the frequency of the processor.\medskip
-                   \item  Proposing an algorithm for selecting the scaling factor that produces  \textbf {the optimal trade-off} between the energy consumption and the performance. \medskip
-                   \item  Comparing the proposed algorithm to existing methods.
+                   \item   Discovering the \textbf{energy-performance trade-off relation} when changing the frequency of the processor.\medskip
+                   \item   Proposing an algorithm for selecting the scaling factor that produces  \textbf {the optimal trade-off} between the energy consumption and the performance. \medskip
+                   \item   Comparing the proposed algorithm to existing methods.

                    
                    
                    %\footnote{\tiny Thomas Rauber and Gudula Rünger. Analytical modeling and simulation of the  
                           %energy consumption \\  \quad ~ ~\quad    of  independent tasks. In Proceedings of the Winter Simulation Conference, 2012.} method that our method best on. 
                 \end{itemize}
                  %\let\thefootnote\relax\footnote{}
                    
                    
                    %\footnote{\tiny Thomas Rauber and Gudula Rünger. Analytical modeling and simulation of the  
                           %energy consumption \\  \quad ~ ~\quad    of  independent tasks. In Proceedings of the Winter Simulation Conference, 2012.} method that our method best on. 
                 \end{itemize}
                  %\let\thefootnote\relax\footnote{}

-          \vspace{-10 mm}
-        \end{femtoBlock}      
+        
+        

 \end{frame}
 
 
 
 \end{frame}
 
 
 

-%%%%%%%%%%%%%%%%%%%%
-%%    SLIDE 10    %%
-%%%%%%%%%%%%%%%%%%%% 
-
-
-\begin{frame}{Execution of synchronous parallel tasks}
-\vspace{-0.5 cm}
-\begin{figure}
-  \centering
-  \subfloat[Synchronous imbalanced communications]{%
-    \includegraphics[scale=0.49]{c1/commtasks}\label{fig:h1}}
-  \subfloat[Synchronous imbalanced computations]{%
-    \includegraphics[scale=0.49]{c1/compt}\label{fig:h2}}
- % \caption{Parallel tasks on homogeneous platform}
-  \label{fig:homo}
-\end{figure}

 
 

- \end{frame}

  
  
  
  
  
  


@@ -284,7 +315,7 @@ for a warehouse-sized computer.
 %%    SLIDE 11   %%
 %%%%%%%%%%%%%%%%%%%% 
 \begin{frame}{Energy model for a homogeneous platform}    
 %%    SLIDE 11   %%
 %%%%%%%%%%%%%%%%%%%% 
 \begin{frame}{Energy model for a homogeneous platform}    

-      The power consumed by a processor divided into two power metrics: the dynamic (\textcolor{red}{$P_d$}) and static   
+      The power consumed by a processor is divided into two power metrics: the dynamic (\textcolor{red}{$P_d$}) and  the static   

        (\textcolor{red}{$P_s$}) power. 
     \begin{equation}
      \label{eq:pd}
        (\textcolor{red}{$P_s$}) power. 
     \begin{equation}
      \label{eq:pd}


@@ -292,7 +323,7 @@ for a warehouse-sized computer.
    \end{equation}
     \scriptsize \underline{Where}: \\ 
     \scriptsize {\textcolor{blue}{$\alpha$}: switching activity \hspace{15 mm}  \textcolor{blue}{$CL$}: load capacitance\\     
    \end{equation}
     \scriptsize \underline{Where}: \\ 
     \scriptsize {\textcolor{blue}{$\alpha$}: switching activity \hspace{15 mm}  \textcolor{blue}{$CL$}: load capacitance\\     

-    \textcolor{blue}{$V$} the supply voltage \hspace{14 mm} \textcolor{blue}{$F$}: operational frequency}
+    \textcolor{blue}{$V$}: the supply voltage \hspace{14 mm} \textcolor{blue}{$F$}: operational frequency}

    \begin{equation}
      \label{eq:ps}
      \small \textcolor{red}{P_s} = \textcolor{blue}{V \cdot N_{trans} \cdot K_{design} \cdot I_{Leak}}
    \begin{equation}
      \label{eq:ps}
      \small \textcolor{red}{P_s} = \textcolor{blue}{V \cdot N_{trans} \cdot K_{design} \cdot I_{Leak}}


@@ -301,6 +332,8 @@ for a warehouse-sized computer.
        \scriptsize{ \textcolor{blue}{$V$}: the supply voltage.  \hspace{28 mm}   \textcolor{blue}{$N_{trans}$}: number of transistors. \\   
        \textcolor{blue}{$K_{design}$}: design dependent parameter. \hspace{8 mm} \textcolor{blue}{$I_{leak}$}: technology dependent  
             parameter.} 
        \scriptsize{ \textcolor{blue}{$V$}: the supply voltage.  \hspace{28 mm}   \textcolor{blue}{$N_{trans}$}: number of transistors. \\   
        \textcolor{blue}{$K_{design}$}: design dependent parameter. \hspace{8 mm} \textcolor{blue}{$I_{leak}$}: technology dependent  
             parameter.} 

+            
+            The frequency scaling factor is the ratio between the maximum and the new frequency, \textcolor{blue}{$S = \frac{F_{max}}{F_{new}}$}.

 \end{frame}
 
 %%%%%%%%%%%%%%%%%%%%
 \end{frame}
 
 %%%%%%%%%%%%%%%%%%%%


@@ -308,22 +341,25 @@ for a warehouse-sized computer.
 %%%%%%%%%%%%%%%%%%%% 
 
 \begin{frame}{Energy model for a homogeneous platform}
 %%%%%%%%%%%%%%%%%%%% 
 
 \begin{frame}{Energy model for a homogeneous platform}

-       
-          The frequency scaling factor is the ratio between the maximum and the new frequency, \textcolor{blue}{$S = \frac{F_{max}}{F_{new}}$}.  \medskip     
-              
-              
+       \vspace{-0.77cm}
+            \begin{figure}
+  \animategraphics[autopause,controls,scale=0.3,buttonsize=0.2cm]{10}{homo-model/a-}{0}{441}
+  %\includegraphics[width=0.6\textwidth]{homo-model/a-356}
+  \end{figure}  

               
               

-        \begin{block}{\small Rauber and Rünger's energy model}
-         $ E = P_{d} \cdot S_1^{-2} \cdot
-         \left( T_1 + \sum_{i=2}^{N} \frac{T_i^3}{T_1^2} \right) +
-            P_{s} \cdot S_1  \cdot T_1 \cdot N$
-        \end{block}     
-           \textcolor{blue}{$S_1$}: the maximum scaling factor.\\ 
-           \textcolor{blue}{$P_{d}$}: the dynamic power.\\
-           \textcolor{blue}{$P_{s}$}: the static power.\\
-           \textcolor{blue}{$T_I$}: the execution time of the slower task.\\ 
-           \textcolor{blue}{$T_i$}: the execution time of task i.\\ 
-           \textcolor{blue}{$N$}:  the number of  nodes.
+      %  \begin{block}{\small Rauber and Rünger's energy model}
+         %$ E = P_{d} \cdot S_1^{-2} \cdot
+         %\left( T_1 + \sum_{i=2}^{N} \frac{T_i^3}{T_1^2} \right) +
+          %  P_{s} \cdot S_1  \cdot T_1 \cdot N$
+        %\end{block}     
+          % \textcolor{blue}{$S_1$}: the maximum scaling factor.\\ 
+          % \textcolor{blue}{$P_{d}$}: the dynamic power.\\
+          % \textcolor{blue}{$P_{s}$}: the static power.\\
+          % \textcolor{blue}{$T_I$}: the execution time of the slower task.\\ 
+          % \textcolor{blue}{$T_i$}: the execution time of task i.\\ 
+          % \textcolor{blue}{$N$}:  the number of  nodes.
+          
+          

        
 \end{frame}
   
        
 \end{frame}
   


@@ -383,23 +419,23 @@ for a warehouse-sized computer.
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 15   %%
 %%%%%%%%%%%%%%%%%%%% 
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 15   %%
 %%%%%%%%%%%%%%%%%%%% 

- \begin{frame}{Scaling factor selection algorithm}
-\vspace{-0.75cm}
-     \begin{center}
-      \includegraphics[width=.56 \textwidth]{c1/algo-homo}
-     \end{center}
+ %\begin{frame}{Scaling factor selection algorithm}
+%\vspace{-0.75cm}
+    % \begin{center}
+      %\includegraphics[width=.56 \textwidth]{c1/algo-homo}
+     %\end{center}

      
      

-\end{frame}
+%\end{frame}

 
 
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 16   %%
 %%%%%%%%%%%%%%%%%%%% 
 
 
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 16   %%
 %%%%%%%%%%%%%%%%%%%% 

-\begin{frame}{Scaling algorithm example}
+\begin{frame}{Scaling factor selection algorithm}

 \vspace{-0.75cm}
      
      \begin{figure}
 \vspace{-0.75cm}
      
      \begin{figure}

-  \animategraphics[autopause,controls,scale=0.28,buttonsize=0.2cm]{10}{dvfs-homo/a-}{0}{159}
+  \animategraphics[autopause,controls,scale=0.29,buttonsize=0.2cm]{10}{dvfs-homo/a-}{0}{335}

   %\includegraphics[width=0.6\textwidth]{dvfs-homo/a-159}
   \end{figure}
 \end{frame}
   %\includegraphics[width=0.6\textwidth]{dvfs-homo/a-159}
   \end{figure}
 \end{frame}


@@ -431,6 +467,8 @@ for a warehouse-sized computer.
      \includegraphics[width=.35\textwidth]{c1/cg}
      \includegraphics[width=.35\textwidth]{c1/bt}}
      
      \includegraphics[width=.35\textwidth]{c1/cg}
      \includegraphics[width=.35\textwidth]{c1/bt}}
      

+\hspace{0.5cm}     
+     

      \centering {\includegraphics[width=.55\textwidth]{c1/results.pdf}}
  \end{femtoBlock}
 \end{frame}
      \centering {\includegraphics[width=.55\textwidth]{c1/results.pdf}}
  \end{femtoBlock}
 \end{frame}


@@ -460,25 +498,25 @@ for a warehouse-sized computer.
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 20   %%
 %%%%%%%%%%%%%%%%%%%% 
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 20   %%
 %%%%%%%%%%%%%%%%%%%% 

-\begin{frame}{The proposed new energy model}
-    \vspace{-0.75cm}     
-  \begin{figure}
-  \animategraphics[autopause,controls,scale=0.28,buttonsize=0.2cm]{10}{homo-model/a-}{0}{356}
+%\begin{frame}{The proposed new energy model}
+   % \vspace{-0.75cm}     
+  %\begin{figure}
+ % \animategraphics[autopause,controls,scale=0.28,buttonsize=0.2cm]{10}{homo-model/a-}{0}{356}

   %\includegraphics[width=0.6\textwidth]{homo-model/a-356}
   %\includegraphics[width=0.6\textwidth]{homo-model/a-356}

-  \end{figure}
-\end{frame}
+ % \end{figure}
+%\end{frame}

 
 
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 21   %%
 %%%%%%%%%%%%%%%%%%%% 
 
 
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 21   %%
 %%%%%%%%%%%%%%%%%%%% 

-\begin{frame}{\large Comparing the new model with Rauber's model }
- \vspace{0.1cm}    
- \centering
-    \includegraphics[width=.45\textwidth]{c1/energy_con}
+%\begin{frame}{\large Comparing the new model with Rauber's model }
+% \vspace{0.1cm}    
+% \centering
+    %\includegraphics[width=.45\textwidth]{c1/energy_con}

     
     

-    \includegraphics[width=.5\textwidth]{c1/compare-scales}
-\end{frame}
+   %\includegraphics[width=.5\textwidth]{c1/compare-scales}
+%\end{frame}

 
 
 
 
 
 


@@ -564,27 +602,27 @@ for a warehouse-sized computer.
  %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 25    %%
 %%%%%%%%%%%%%%%%%%%%
  %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 25    %%
 %%%%%%%%%%%%%%%%%%%%

- \begin{frame}{The energy consumption model} 
-    The overall energy consumption of a message passing synchronous  application executed over
-     a heterogeneous platform can be computed as  follows:
-    \begin{multline}
-     \label{eq:energy}
-     \textcolor{red}{E} = \textcolor{blue}{\sum_{i=1}^{N} {(S_i^{-2} \cdot Pd_i \cdot  Tcp_i)}} + {} \\
-     \textcolor{blue}{\sum_{i=1}^{N} (Ps_i \cdot (\max_{i=1,2,\dots,N} (Tcp_i \cdot S_{i}) + {\min_{i=1,2,\dots,N} (Tcm_i))}}   
-      \hspace{10 mm}
-    \end{multline}
-    \underline{where}:\\
-    \textcolor{blue}{N} : is the number of nodes.
-\end{frame}
+ %\begin{frame}{The energy consumption model} 
+   % The overall energy consumption of a message passing synchronous  application executed over
+   %  a heterogeneous platform can be computed as  follows:
+   % \begin{multline}
+    % \label{eq:energy}
+   %  \textcolor{red}{E} = \textcolor{blue}{\sum_{i=1}^{N} {(S_i^{-2} \cdot Pd_i \cdot  Tcp_i)}} + {} \\
+  %   \textcolor{blue}{\sum_{i=1}^{N} (Ps_i \cdot (\max_{i=1,2,\dots,N} (Tcp_i \cdot S_{i}) + {\min_{i=1,2,\dots,N} (Tcm_i))}}   
+   %   \hspace{10 mm}
+   % \end{multline}
+   % \underline{where}:\\
+   % \textcolor{blue}{N} : is the number of nodes.
+%\end{frame}

  
  
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 26    %%
 %%%%%%%%%%%%%%%%%%%%
  
  
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 26    %%
 %%%%%%%%%%%%%%%%%%%%

-  \begin{frame}{The  energy  model example for heter. cluster}
-  \vspace{-0.5cm}
+  \begin{frame}{The energy  model  for heterogeneous cluster}
+  \vspace{-0.77cm}

  \begin{figure}
  \begin{figure}

-  \animategraphics[autopause,controls,scale=0.28,buttonsize=0.2cm]{10}{heter-model/a-}{0}{272}
+  \animategraphics[autopause,controls,scale=0.3,buttonsize=0.2cm]{10}{heter-model/a-}{0}{350}

   %\includegraphics[width=0.6\textwidth]{heter-model/a-272}
   \end{figure}
  \end{frame}
   %\includegraphics[width=0.6\textwidth]{heter-model/a-272}
   \end{figure}
  \end{frame}


@@ -620,22 +658,22 @@ for a warehouse-sized computer.
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 28    %%
 %%%%%%%%%%%%%%%%%%%%
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 28    %%
 %%%%%%%%%%%%%%%%%%%%

- \begin{frame}{The scaling algorithm for heter. cluster}
+ %\begin{frame}{The scaling algorithm for heter. cluster}

 
 

- \centering
-   \includegraphics[width=.52\textwidth]{algo-heter}
- \end{frame}
+ %\centering
+   %\includegraphics[width=.52\textwidth]{algo-heter}
+ %\end{frame}

  
  
  %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 29    %%
 %%%%%%%%%%%%%%%%%%%%
  
  
  %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 29    %%
 %%%%%%%%%%%%%%%%%%%%

- \begin{frame}{The scaling algorithm example}
- \vspace{-0.5cm}
+ \begin{frame}{The scaling algorithm for heter. cluster}
+ \vspace{-0.77cm}

  \centering
  
   \begin{figure}
  \centering
  
   \begin{figure}

-  \animategraphics[autopause,controls,scale=0.28,buttonsize=0.2cm]{10}{dvfs-heter/a-}{0}{650}
+  \animategraphics[autopause,controls,scale=0.3,buttonsize=0.2cm]{10}{dvfs-heter/a-}{0}{836}

  % \includegraphics[width=0.6\textwidth]{dvfs-heter/a-650}
   \end{figure}
 \end{frame}
  % \includegraphics[width=0.6\textwidth]{dvfs-heter/a-650}
   \end{figure}
 \end{frame}


@@ -646,86 +684,58 @@ for a warehouse-sized computer.
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 30    %%
 %%%%%%%%%%%%%%%%%%%%
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 30    %%
 %%%%%%%%%%%%%%%%%%%%

-\begin{frame}{Experiments over a heterogeneous cluster  }   
-        \begin{itemize}
-         \small
-           \item The experiments were executed on the simulator SimGrid/SMPI v3.10.\medskip
-           \item The scaling algorithm was applied to the NAS parallel benchmarks class C.\medskip
-           \item Four types of processors with different computing powers were used.\medskip
-           \item The benchmarks were executed with different number of nodes ranging from 4 to 144 nodes.\medskip
-           \item It was assumed that the total power consumption of the CPU consist of 80\% dynamic power and 20\% static power.
-                  \medskip
+%\begin{frame}{Experiments over a heterogeneous cluster  }   
+      %  \begin{itemize}
+        % \small
+          % \item The experiments were executed on the simulator SimGrid/SMPI v3.10.\medskip
+          % \item The scaling algorithm was applied to the NAS parallel benchmarks class C.\medskip
+          % \item Four types of processors with different computing powers were used.\medskip
+          % \item The benchmarks were executed with different number of nodes ranging from 4 to 144 nodes.\medskip
+          % \item It was assumed that the total power consumption of the CPU consist of 80\% dynamic power and 20\% static power.
+                 % \medskip

          
          

-        \end{itemize}
+        %\end{itemize}

 
 

-\end{frame}  
+%\end{frame}  

 
 
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 31    %%
 %%%%%%%%%%%%%%%%%%%%
 
 
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 31    %%
 %%%%%%%%%%%%%%%%%%%%

-\begin{frame}{The experimental results}
-   \vspace{-5 mm}
-   \begin{figure}[!t]
-   \centering
-    \includegraphics[width=0.8\textwidth]{c2/energy_saving.pdf}
+%\begin{frame}{The simulation results}
+  % \vspace{-5 mm}
+  % \begin{figure}[!t]
+   %\centering
+    %\includegraphics[width=0.8\textwidth]{c2/energy_saving.pdf}

     
     

-    \textcolor{blue}{On average, it reduces the energy consumption by \textcolor{red}{29\%} 
-     for the class C of the NAS Benchmarks executed over 8 nodes}
+   % \textcolor{blue}{On average, it reduces the energy consumption by \textcolor{red}{29\%} 
+     %for the class C of the NAS Benchmarks executed over 8 nodes}

     
     

-   \end{figure}
-\end{frame} 
+  % \end{figure}
+%\end{frame} 

  
  
  
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 32    %%
 %%%%%%%%%%%%%%%%%%%%
  
  
  
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 32    %%
 %%%%%%%%%%%%%%%%%%%%

-\begin{frame}{The experimental results}
-   \vspace{-5 mm}
-   \begin{figure}[!t]
-   \centering
+%\begin{frame}{The simulation results}
+ %  \vspace{-5 mm}
+  % \begin{figure}[!t]
+  % \centering

     
     

-    \includegraphics[width=.8\textwidth]{c2/perf_degra.pdf}
+   % \includegraphics[width=.8\textwidth]{c2/perf_degra.pdf}

    
    

-   \textcolor{blue}{On average, it degrades  by \textcolor{red}{3.8\%} the performance
-     of NAS Benchmarks class C executed over 8 nodes}
-     \end{figure}
-\end{frame} 
+  % \textcolor{blue}{On average, it degrades  by \textcolor{red}{3.8\%} the performance
+    % of NAS Benchmarks class C executed over 8 nodes}
+  %   \end{figure}
+%\end{frame} 

  
  
  
  
  
  

-%%%%%%%%%%%%%%%%%%%%
-%%    SLIDE 33    %%
-%%%%%%%%%%%%%%%%%%%%
-\begin{frame}{The results of the three power scenarios}
-   \vspace{-5 mm}
-   \begin{figure}[!t]
-   \centering
-   \includegraphics[width=.55\textwidth]{c2/three_power.pdf}
-   \vspace{10 mm}
-   \includegraphics[width=.55\textwidth]{c2/three_scenarios.pdf}
-   \end{figure}
-\end{frame}  

 
 
 
 
 
 

-%%%%%%%%%%%%%%%%%%%%
-%%    SLIDE 34    %%
-%%%%%%%%%%%%%%%%%%%%
-\begin{frame}{Comparing the objective function to EDP}
-     
-     EDP is the products between the energy consumption and the delay.
-    \vspace{-5 mm}
-    \begin{figure}[!t]
-    \centering
-    \includegraphics[width=.55\textwidth]{c2/avg_compare.pdf}
-    
-    \includegraphics[width=.55\textwidth]{c2/compare_with_EDP.pdf}
-    \end{figure}
-\end{frame} 
-
-

 
 
 %%%%%%%%%%%%%%%%%%%%
 
 
 %%%%%%%%%%%%%%%%%%%%


@@ -744,10 +754,10 @@ for a warehouse-sized computer.
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 36    %%
 %%%%%%%%%%%%%%%%%%%%
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 36    %%
 %%%%%%%%%%%%%%%%%%%%

-\begin{frame}{The grid architecture}
-\begin{center}
-\includegraphics[width=.8\textwidth]{c2/init_freq.pdf}
-\end{center}
+%\begin{frame}{The grid architecture}
+%\begin{center}
+%\includegraphics[width=.8\textwidth]{c2/init_freq.pdf}
+%\end{center}

 
  %\begin{frame}{Performance, Energy and trade-off models} \small
   %\begin{block}{\small The performance model of grid}
 
  %\begin{frame}{Performance, Energy and trade-off models} \small
   %\begin{block}{\small The performance model of grid}


@@ -779,7 +789,7 @@ for a warehouse-sized computer.
    % \end{block}  
      
      
    % \end{block}  
      
      

- \end{frame}
+ %\end{frame}

   
   
   
   
   
   


@@ -837,11 +847,32 @@ for a warehouse-sized computer.
 
 
 
 
 
 

+%%%%%%%%%%%%%%%%%%%%
+%%    SLIDE 33    %%
+%%%%%%%%%%%%%%%%%%%%
+\begin{frame}{The results of the three power scenarios}
+   \vspace{-5 mm}
+   \begin{figure}[!t]
+   \centering
+   \includegraphics[width=.45\textwidth]{c2/eng_pow.eps}
+   \hspace{0.3cm}
+   \includegraphics[width=.45\textwidth]{c2/per_pow.eps}
+   \vspace{4 mm}
+   \includegraphics[width=.7\textwidth]{c2/three_scenarios.pdf}
+   \end{figure}
+\end{frame}  
+
+
+
+
+
+
+

 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 39    %%
 %%%%%%%%%%%%%%%%%%%%
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 39    %%
 %%%%%%%%%%%%%%%%%%%%

-\begin{frame}{Experiments over Grid'5000}
-   \textcolor{blue}{One core  and Multi-cores per node results:}
+\begin{frame}{One core and Multi-cores per node results}
+   %\textcolor{blue}{One core  and Multi-cores per node results:}

    
   \begin{figure}[h!] 
   \includegraphics[width=.48\textwidth]{c2/eng_s_mc.eps}
    
   \begin{figure}[h!] 
   \includegraphics[width=.48\textwidth]{c2/eng_s_mc.eps}


@@ -853,7 +884,20 @@ for a warehouse-sized computer.
 \end{frame}
 
 
 \end{frame}
 
 

-
+%%%%%%%%%%%%%%%%%%%%
+%%    SLIDE 34    %%
+%%%%%%%%%%%%%%%%%%%%
+\begin{frame}{Comparing the objective function to EDP}
+     
+     EDP is the products between the energy consumption and the delay.
+    \vspace{-5 mm}
+    \begin{figure}[!t]
+    \centering
+    \includegraphics[width=.6\textwidth]{c2/edp_dist.eps}
+    
+  
+    \end{figure}
+\end{frame} 

 %\begin{frame}{Summary}
 %\begin{itemize}
      % \small
 %\begin{frame}{Summary}
 %\begin{itemize}
      % \small


@@ -893,7 +937,7 @@ for a warehouse-sized computer.
 \textcolor{blue}{The execution of a synchronous parallel iterative application over a grid }
 \vspace{-8 mm}
 \begin{figure}
 \textcolor{blue}{The execution of a synchronous parallel iterative application over a grid }
 \vspace{-8 mm}
 \begin{figure}

- \animategraphics[autopause,controls,scale=0.25,buttonsize=0.2cm]{10}{syn/a-}{0}{503}
+ \animategraphics[autopause,controls,scale=0.26,buttonsize=0.2cm]{10}{syn/a-}{0}{647}

  %\includegraphics[width=0.6\textwidth]{syn/a-503}
   \end{figure}
 \end{frame}
  %\includegraphics[width=0.6\textwidth]{syn/a-503}
   \end{figure}
 \end{frame}


@@ -907,7 +951,7 @@ for a warehouse-sized computer.
 \textcolor{blue}{The execution of an asynchronous parallel iterative application over a grid }
 \vspace{-8 mm}
 \begin{figure}
 \textcolor{blue}{The execution of an asynchronous parallel iterative application over a grid }
 \vspace{-8 mm}
 \begin{figure}

- \animategraphics[autopause,controls,scale=0.25,buttonsize=0.2cm]{10}{asyn/a-}{0}{440}
+ \animategraphics[autopause,controls,scale=0.26,buttonsize=0.2cm]{10}{asyn/a-}{0}{556}

  %\includegraphics[width=0.6\textwidth]{asyn/a-440}
   \end{figure}
 \end{frame}
  %\includegraphics[width=0.6\textwidth]{asyn/a-440}
   \end{figure}
 \end{frame}


@@ -921,7 +965,7 @@ for a warehouse-sized computer.
 \textcolor{blue}{Using asynchronous communications with DVFS }
 \vspace{-8 mm}
 \begin{figure}
 \textcolor{blue}{Using asynchronous communications with DVFS }
 \vspace{-8 mm}
 \begin{figure}

-  \animategraphics[autopause,controls,scale=0.25,buttonsize=0.2cm]{10}{asyn+dvfs/a-}{0}{314}
+  \animategraphics[autopause,controls,scale=0.26,buttonsize=0.2cm]{10}{asyn+dvfs/a-}{0}{344}

   %\includegraphics[width=0.6\textwidth]{asyn+dvfs/a-314}
   \end{figure}
 \end{frame}
   %\includegraphics[width=0.6\textwidth]{asyn+dvfs/a-314}
   \end{figure}
 \end{frame}


@@ -1027,27 +1071,27 @@ for a warehouse-sized computer.
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 48   %%
 %%%%%%%%%%%%%%%%%%%%
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 48   %%
 %%%%%%%%%%%%%%%%%%%%

-\begin{frame}{The simulation results}
-\centering \small \textcolor{blue}{The best scenario in terms of energy and performance  is the Async. MS with Sync. DVFS}
+%\begin{frame}{The simulation results}
+%\centering \small \textcolor{blue}{The best scenario in terms of energy and performance  is %the Async. MS with Sync. DVFS}

 
 

-\centering
-    \includegraphics[scale=0.42]{c3/energy_saving.eps}
+%\centering
+   % \includegraphics[scale=0.42]{c3/energy_saving.eps}

 
 

- \centering  The average energy saving  = \textcolor{red}{22\%}
-\end{frame} 
+ %\centering  The average energy saving  = \textcolor{red}{22\%}
+%\end{frame} 

 
 
 
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 49   %%
 %%%%%%%%%%%%%%%%%%%%
 
 
 
 %%%%%%%%%%%%%%%%%%%%
 %%    SLIDE 49   %%
 %%%%%%%%%%%%%%%%%%%%

-\begin{frame}{The simulation results}
-\centering
+%\begin{frame}{The simulation results}
+%\centering

    
    

-     \includegraphics[scale=0.42]{c3/perf_degra.eps}
+   %  \includegraphics[scale=0.42]{c3/perf_degra.eps}

      
      

- \centering    The average speed-up  = \textcolor{red}{5.72\%}
-\end{frame} 
+%\centering    The average speed-up  = \textcolor{red}{5.72\%}
+%\end{frame} 

 
 
 
 
 
 


@@ -1055,7 +1099,7 @@ for a warehouse-sized computer.
 %%    SLIDE 50   %%
 %%%%%%%%%%%%%%%%%%%%
  \begin{frame}{The Grid'5000 results}
 %%    SLIDE 50   %%
 %%%%%%%%%%%%%%%%%%%%
  \begin{frame}{The Grid'5000 results}

-   \vspace{-20 mm}
+   \vspace{-10 mm}

    \begin{figure}[!t]
    \centering
    \hspace{-8 mm}
    \begin{figure}[!t]
    \centering
    \hspace{-8 mm}


@@ -1064,6 +1108,9 @@ for a warehouse-sized computer.
    \end{figure}
     \vspace{-5 mm}
      \centering \footnotesize
    \end{figure}
     \vspace{-5 mm}
      \centering \footnotesize

+     
+     %\small \textcolor{blue}{The best scenario in terms of energy and performance  is the Async. MS with Sync. DVFS}
+     

 The average energy saving = \textcolor{red}{26.93\%}, the average speed-up =  \textcolor{red}{21.48\%}
 \end{frame} 
 
 The average energy saving = \textcolor{red}{26.93\%}, the average speed-up =  \textcolor{red}{21.48\%}
 \end{frame} 
 


@@ -1174,7 +1221,7 @@ Multi-splitting} method.
 %%%%%%%%%%%%%%%%%%%%
 \begin{frame}{Fin} \vspace{-10 mm}
 
 %%%%%%%%%%%%%%%%%%%%
 \begin{frame}{Fin} \vspace{-10 mm}
 

-            \centering \Large \textcolor{blue}{Thank you for your listening}
+            \centering \Large \textcolor{blue}{Thank you for your attention}

             
             \vspace{2cm}
             \centering \textcolor{blue}{ {\Large Questions?}}
             
             \vspace{2cm}
             \centering \textcolor{blue}{ {\Large Questions?}}