v13

diff --git a/hpcc.tex b/hpcc.tex
index 2523d890140406bacea2fee20458bfba73eafa95..d85a9179d909e0aad0a45012490a7853da1291f3 100644 (file)
--- a/hpcc.tex
+++ b/hpcc.tex
@@ -666,7 +666,7 @@ that after setting the bandwidth of the  inter cluster network to  \np[Mbit/s]{5
 of one GFlops, an efficiency of about \np[\%]{40} is
 obtained in asynchronous mode for a matrix size of $62^3$ elements. It is noticed that the result remains
 stable even we vary the residual error precision from \np{E-5} to \np{E-9}. By
 of one GFlops, an efficiency of about \np[\%]{40} is
 obtained in asynchronous mode for a matrix size of $62^3$ elements. It is noticed that the result remains
 stable even we vary the residual error precision from \np{E-5} to \np{E-9}. By

-increasing the matrix size up to 100 elements, it was necessary to increase the
+increasing the matrix size up to $100^3$ elements, it was necessary to increase the

 CPU power of \np[\%]{50} to \np[GFlops]{1.5} to get the algorithm convergence and the same order of asynchronous mode efficiency.  Maintaining such processor power but increasing network throughput inter cluster up to
 \np[Mbit/s]{50}, the result of efficiency with a relative gain of 2.5 is obtained with
 high external precision of \np{E-11} for a matrix size from 110 to 150 side
 CPU power of \np[\%]{50} to \np[GFlops]{1.5} to get the algorithm convergence and the same order of asynchronous mode efficiency.  Maintaining such processor power but increasing network throughput inter cluster up to
 \np[Mbit/s]{50}, the result of efficiency with a relative gain of 2.5 is obtained with
 high external precision of \np{E-11} for a matrix size from 110 to 150 side