new

[book_gpu.git] / BookGPU / Chapters / chapter6 / PartieAsync.tex

diff --git a/BookGPU/Chapters/chapter6/PartieAsync.tex b/BookGPU/Chapters/chapter6/PartieAsync.tex
index 0253c9cb30dc36a1b690d8d9e1c4b0c79d8878b2..d8da9a4f8e5d2ea56424b8329721102530eb1aca 100644 (file)
--- a/BookGPU/Chapters/chapter6/PartieAsync.tex
+++ b/BookGPU/Chapters/chapter6/PartieAsync.tex
@@ -6,7 +6,7 @@ In the previous section, we have seen how to efficiently implement overlap of
 computations (CPU and GPU) with communications (GPU transfers and internode
 communications).  However, we have previously shown that for some parallel
 iterative algorithms, it is sometimes even more efficient to use an asynchronous
 computations (CPU and GPU) with communications (GPU transfers and internode
 communications).  However, we have previously shown that for some parallel
 iterative algorithms, it is sometimes even more efficient to use an asynchronous

-scheme of iterations\index{iterations asynchronous} \cite{HPCS2002,ParCo05,Para10}.  In that case, the nodes do
+scheme of iterations\index{asynchronous iterations} \cite{HPCS2002,ParCo05,Para10}.  In that case, the nodes do

 not wait for each other but they perform their iterations using the last
 external data they have received from the other nodes, even if this
 data was produced \emph{before} the previous iteration on the other nodes.
 not wait for each other but they perform their iterations using the last
 external data they have received from the other nodes, even if this
 data was produced \emph{before} the previous iteration on the other nodes.


@@ -139,7 +139,7 @@ communication libraries such as MPI are not systematically performed in parallel
 the computations~\cite{ChVCV13,Hoefler08a}.  So, the logical and classical way
 to implement such an overlap is to use three threads: one for
 computing, one for sending, and one for receiving. Moreover, since
 the computations~\cite{ChVCV13,Hoefler08a}.  So, the logical and classical way
 to implement such an overlap is to use three threads: one for
 computing, one for sending, and one for receiving. Moreover, since

-the communication is performed by threads, blocking synchronous communications\index{MPI!communication!blocking}\index{MPI!communication!synchronous}
+the communication is performed by threads, blocking synchronous communications\index{MPI!blocking}\index{MPI!synchronous}

 can be used without deteriorating the overall performance.
 
 In this basic version, the termination\index{termination} of the global process is performed
 can be used without deteriorating the overall performance.
 
 In this basic version, the termination\index{termination} of the global process is performed


@@ -621,7 +621,7 @@ execution. They are similar to the mechanism used for managing the end messages
 at the end of the entire process.  Line~23 directly updates the
 number of other nodes that are in local convergence by adding the
 received state of the source node. This is possible due to the encoding that is used to
 at the end of the entire process.  Line~23 directly updates the
 number of other nodes that are in local convergence by adding the
 received state of the source node. This is possible due to the encoding that is used to

-represent the local convergence (1) and the non convergence (0).
+represent the local convergence (1) and the nonconvergence (0).

 
 %\begin{algorithm}[H]
 %  \caption{Reception function in the synchronized scheme.}
 
 %\begin{algorithm}[H]
 %  \caption{Reception function in the synchronized scheme.}


@@ -648,7 +648,7 @@ while(!Finished){
       case tagState: // Management of local state messages
        // Actual reception of the message
        MPI_Recv(&recvdState, 1, MPI_CHAR, status.MPI_SOURCE, tagState, MPI_COMM_WORLD, &status); 
       case tagState: // Management of local state messages
        // Actual reception of the message
        MPI_Recv(&recvdState, 1, MPI_CHAR, status.MPI_SOURCE, tagState, MPI_COMM_WORLD, &status); 

-       // Updates of numbers of stabilized nodes and received state msgs 
+       // Updates of numbers of stabilized nodes and recvd state msgs 

        nbOtherCVs += recvdState;
        nbStateMsg++;
        // Unlocking of the computing thread when states of all other 
        nbOtherCVs += recvdState;
        nbStateMsg++;
        // Unlocking of the computing thread when states of all other