aspell

diff --git a/supercomp11/supercomp11.tex b/supercomp11/supercomp11.tex
index 4cc971b10807fc488c28411157c48385fa20b3fd..2a6c04bf1c78ba12a233a0cdd2a4c11d3525663d 100644 (file)
--- a/supercomp11/supercomp11.tex
+++ b/supercomp11/supercomp11.tex
@@ -97,17 +97,17 @@ message at each  neighbor at each iteration. Latter  messages contains data that
 migrates from one node to another one. Depending on the application, it may have
 sense or not  that nodes try to balance  a part of their load  at each computing
 iteration. But the time to transfer a load message from a node to another one is
 migrates from one node to another one. Depending on the application, it may have
 sense or not  that nodes try to balance  a part of their load  at each computing
 iteration. But the time to transfer a load message from a node to another one is

-often much nore longer that to  time to transfer a load information message. So,
+often much more longer that to  time to transfer a load information message. So,

 when a node receives the information  that later it will receive a data message,
 it can take this information into account  and it can consider that its new load
 is larger.   Consequently, it can  send a part  of it real  load to some  of its
 when a node receives the information  that later it will receive a data message,
 it can take this information into account  and it can consider that its new load
 is larger.   Consequently, it can  send a part  of it real  load to some  of its

-neighbors if required. We call this trick the \emph{virtual load} mecanism.
+neighbors if required. We call this trick the \emph{virtual load} mechanism.

 
 
 
 So, in  this work, we propose a  new strategy for improving  the distribution of
 the  load  and  a  simple  but  efficient trick  that  also  improves  the  load
 
 
 
 So, in  this work, we propose a  new strategy for improving  the distribution of
 the  load  and  a  simple  but  efficient trick  that  also  improves  the  load

-balacing. Moreover, we have conducted  many simulations with simgrid in order to
+balancing. Moreover, we have conducted  many simulations with SimGrid in order to

 validate our improvements are really efficient. Our simulations consider that in
 order  to send a  message, a  latency delays  the sending  and according  to the
 network  performance and  the message  size, the  time of  the reception  of the
 validate our improvements are really efficient. Our simulations consider that in
 order  to send a  message, a  latency delays  the sending  and according  to the
 network  performance and  the message  size, the  time of  the reception  of the


@@ -117,7 +117,7 @@ In the  following of this  paper, Section~\ref{BT algo} describes  the Bertsekas
 and Tsitsiklis'  asynchronous load balancing  algorithm. Moreover, we  present a
 possible  problem  in  the  convergence  conditions.   Section~\ref{Best-effort}
 presents the best effort strategy which  provides an efficient way to reduce the
 and Tsitsiklis'  asynchronous load balancing  algorithm. Moreover, we  present a
 possible  problem  in  the  convergence  conditions.   Section~\ref{Best-effort}
 presents the best effort strategy which  provides an efficient way to reduce the

-execution  times. In Section~\ref{Virtual  load}, the  virtual load  mecanism is
+execution  times. In Section~\ref{Virtual  load}, the  virtual load  mechanism is

 proposed. Simulations allowed to show that both our approaches are valid using a
 quite realistic  model detailed in  Section~\ref{Simulations}. Finally we  give a
 conclusion and some perspectives to this work.
 proposed. Simulations allowed to show that both our approaches are valid using a
 quite realistic  model detailed in  Section~\ref{Simulations}. Finally we  give a
 conclusion and some perspectives to this work.


@@ -129,11 +129,11 @@ conclusion and some perspectives to this work.
 \label{BT algo}
 
 In  order  prove  the  convergence  of  asynchronous  iterative  load  balancing
 \label{BT algo}
 
 In  order  prove  the  convergence  of  asynchronous  iterative  load  balancing

-Bertesekas         and        Tsitsiklis         proposed         a        model
+Bertsekas         and        Tsitsiklis         proposed         a        model

 in~\cite{bertsekas+tsitsiklis.1997.parallel}.   Here we  recall  some notations.
 Consider  that  $N={1,...,n}$  processors   are  connected  through  a  network.
 Communication links  are represented by  a connected undirected  graph $G=(N,V)$
 in~\cite{bertsekas+tsitsiklis.1997.parallel}.   Here we  recall  some notations.
 Consider  that  $N={1,...,n}$  processors   are  connected  through  a  network.
 Communication links  are represented by  a connected undirected  graph $G=(N,V)$

-where $V$ is the set of links connecting differents processors. In this work, we
+where $V$ is the set of links connecting different processors. In this work, we

 consider that  processors are  homogeneous for sake  of simplicity. It  is quite
 easy to tackle the  heterogeneous case~\cite{ElsMonPre02}. Load of processor $i$
 at  time $t$  is  represented  by $x_i(t)\geq  0$.   Let $V(i)$  be  the set  of
 consider that  processors are  homogeneous for sake  of simplicity. It  is quite
 easy to tackle the  heterogeneous case~\cite{ElsMonPre02}. Load of processor $i$
 at  time $t$  is  represented  by $x_i(t)\geq  0$.   Let $V(i)$  be  the set  of


@@ -144,7 +144,7 @@ consider that the load is described by a continuous variable.
 
 When a processor  send a part of its  load to one or some of  its neighbors, the
 transfer takes time to be completed.  Let $s_{ij}(t)$ be the amount of load that
 
 When a processor  send a part of its  load to one or some of  its neighbors, the
 transfer takes time to be completed.  Let $s_{ij}(t)$ be the amount of load that

-processor $i$ has transfered to processor $j$ at time $t$ and let $r_{ij}(t)$ be the
+processor $i$ has transferred to processor $j$ at time $t$ and let $r_{ij}(t)$ be the

 amount of  load received by processor $j$  from processor $i$ at  time $t$. Then
 the amount of load of processor $i$ at time $t+1$ is given by:
 \begin{equation}
 amount of  load received by processor $j$  from processor $i$ at  time $t$. Then
 the amount of load of processor $i$ at time $t+1$ is given by:
 \begin{equation}


@@ -159,13 +159,13 @@ called the \emph{ping-pong} condition which specifies that:
 x_i(t)-\sum _{k\in V(i)} s_{ik}(t) \geq x_j^i(t)+s_{ij}(t)
 \end{equation}
 for any  processor $i$ and any  $j \in V(i)$ such  that $x_i(t)>x_j^i(t)$.  This
 x_i(t)-\sum _{k\in V(i)} s_{ik}(t) \geq x_j^i(t)+s_{ij}(t)
 \end{equation}
 for any  processor $i$ and any  $j \in V(i)$ such  that $x_i(t)>x_j^i(t)$.  This

-condition aims  at avoiding a processor  to send a  part of its load  and beeing
+condition aims  at avoiding a processor  to send a  part of its load  and being

 less loaded after that.
 
 Nevertheless,  we  think that  this  condition may  lead  to  deadlocks in  some
 cases. For example, if we consider  only three processors and that processor $1$
 is linked to processor $2$ which is  also linked to processor $3$ (i.e. a simple
 less loaded after that.
 
 Nevertheless,  we  think that  this  condition may  lead  to  deadlocks in  some
 cases. For example, if we consider  only three processors and that processor $1$
 is linked to processor $2$ which is  also linked to processor $3$ (i.e. a simple

-chain wich 3 processors). Now consider we have the following values at time $t$:
+chain which 3 processors). Now consider we have the following values at time $t$:

 \begin{eqnarray*}
 x_1(t)=10   \\
 x_2(t)=100   \\
 \begin{eqnarray*}
 x_1(t)=10   \\
 x_2(t)=100   \\


@@ -379,5 +379,6 @@ Taille : 10 100 très gros
 %%% ispell-local-dictionary: "american"
 %%% End:
 
 %%% ispell-local-dictionary: "american"
 %%% End:
 

-% LocalWords:  Raphaël Couturier Arnaud Giersch Abderrahmane Sider
-% LocalWords:  Bertsekas Tsitsiklis SimGrid DASUD
+% LocalWords:  Raphaël Couturier Arnaud Giersch Abderrahmane Sider Franche ij
+% LocalWords:  Bertsekas Tsitsiklis SimGrid DASUD Comté Béjaïa asynchronism ji
+% LocalWords:  ik