suite

[book_gpu.git] / BookGPU / Chapters / chapter2 / ch2.tex

diff --git a/BookGPU/Chapters/chapter2/ch2.tex b/BookGPU/Chapters/chapter2/ch2.tex
index 0640708ecb3fed538952560cf313bc8c5a5e6223..bff6d44679ddc4a196761befae7bc5ce3b93b075 100755 (executable)
--- a/BookGPU/Chapters/chapter2/ch2.tex
+++ b/BookGPU/Chapters/chapter2/ch2.tex
@@ -52,7 +52,7 @@ which  indicates that  this  kernel  can be  call  from the  C  code. The  first
 instruction  in  this  kernel  is   used  to  computed  the  \texttt{tid}  which
 representes the  thread index.  This thread  index is computed  according to the
 values    of    the    block    index    (it   is    a    variable    of    CUDA
 instruction  in  this  kernel  is   used  to  computed  the  \texttt{tid}  which
 representes the  thread index.  This thread  index is computed  according to the
 values    of    the    block    index    (it   is    a    variable    of    CUDA

-called  \texttt{blockIdx\index{CUDA~keywords!blockIdx}}). Blocks of  threads can
+called  \texttt{blockIdx}\index{CUDA~keywords!blockIdx}). Blocks of  threads can

 be decomposed into  1 dimension, 2 dimensions or 3  dimensions. According to the
 dimension of data  manipulated, the appropriate dimension can  be useful. In our
 example, only  one dimension  is used.  Then  using notation \texttt{.x}  we can
 be decomposed into  1 dimension, 2 dimensions or 3  dimensions. According to the
 dimension of data  manipulated, the appropriate dimension can  be useful. In our
 example, only  one dimension  is used.  Then  using notation \texttt{.x}  we can