X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/book_gpu.git/blobdiff_plain/17bff40b83bcdcc39769f9e59c70ffae1c525b72..fd7d6f1c6c149f79839200277703c9ef950150f8:/BookGPU/Chapters/chapter15/ch15.tex?ds=sidebyside

diff --git a/BookGPU/Chapters/chapter15/ch15.tex b/BookGPU/Chapters/chapter15/ch15.tex
index 64eb771..7860441 100644
--- a/BookGPU/Chapters/chapter15/ch15.tex
+++ b/BookGPU/Chapters/chapter15/ch15.tex
@@ -917,7 +917,7 @@ one C2050 (Fermi) GPU, located at
  UPMC (Universit\'e Pierre et Marie Curie, Paris, France). 
 As a remark, the execution times measured on the C2050 would be the same 
 on the C2070 and on  the C2075, the only difference between these GPUs 
-being their memory size and their TDP (Thermal Design Power)\index{TDP (Thermal Design Power)}. 
+being their memory size and their TDP (Thermal Design Power)\index{TDP (thermal design power)}. 
 We emphasize that the execution times correspond to the
 complete propagation for all six energies of the large case (see
 Table~\ref{data-sets}), that is to say to the complete execution of
@@ -1093,7 +1093,9 @@ in order to enable concurrent executions among the required kernels.
   & Speedup & - & \multicolumn{2}{c|}{1.13} & \multicolumn{2}{c|}{1.17}  \\  
   \hline
 \end{tabular}
-\caption{\label{t:perfs_V6} Performance results with multiple
+\caption[Performance results with multiple
+  concurrent energies 
+  on one C2070 GPU.]{\label{t:perfs_V6} Performance results with multiple
   concurrent energies 
   on one C2070 GPU. GPU initialization times are not considered here. }
 \end{center}