new

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

diff --git a/BookGPU/Chapters/chapter6/PartieAsync.tex b/BookGPU/Chapters/chapter6/PartieAsync.tex
index 9edbe8dce065e6dc88be03de3a3c13f02f5b6547..1623f8c721bbdaa824950c04b7257ccc65ad74e3 100644 (file)
--- a/BookGPU/Chapters/chapter6/PartieAsync.tex
+++ b/BookGPU/Chapters/chapter6/PartieAsync.tex
@@ -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 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
@@ -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); 
-       // 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