X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/prng_gpu.git/blobdiff_plain/77973c61177ccd9f68459a2095c29d48d11af26f..7c04da8823a9d68e733d60060a68207fce376a96:/prng_gpu.tex?ds=sidebyside

diff --git a/prng_gpu.tex b/prng_gpu.tex
index e177e24..f048253 100644
--- a/prng_gpu.tex
+++ b/prng_gpu.tex
@@ -47,12 +47,12 @@ unsigned int CIprng() \{\\
   unsigned long t1 = xorshift();\\
   unsigned long t2 = xor128();\\
   unsigned long t3 = xorwow();\\
-  x = x\^\ (unsigned int)t1;\\
-  x = x\^\ (unsigned int)(t2$>>$32);\\
-  x = x\^\ (unsigned int)(t3$>>$32);\\
-  x = x\^\ (unsigned int)t2;\\
-  x = x\^\ (unsigned int)(t1$>>$32);\\
-  x = x\^\ (unsigned int)t3;\\
+  x = x\textasciicircum (unsigned int)t1;\\
+  x = x\textasciicircum (unsigned int)(t2$>>$32);\\
+  x = x\textasciicircum (unsigned int)(t3$>>$32);\\
+  x = x\textasciicircum (unsigned int)t2;\\
+  x = x\textasciicircum (unsigned int)(t1$>>$32);\\
+  x = x\textasciicircum (unsigned int)t3;\\
   return x;\\
 \}
 \end{minipage}
@@ -63,12 +63,14 @@ unsigned int CIprng() \{\\
 \end{figure}
 
 In Figure~\ref{algo:seqCIprng}  a sequential  version of our  chaotic iterations
-based PRNG  is presented.  This version  uses three classical  64-bits PRNG: the
+based PRNG  is presented.  This version  uses three classical 64  bits PRNG: the
 \texttt{xorshift},  the \texttt{xor128}  and the  \texttt{xorwow}.   These three
-PRNGs  are  presented in~\cite{Marsaglia2003}.  As  each  PRNG  used works  with
-64-bits and as  our PRNG works with 32-bits, the  use of \texttt{(unsigned int)}
+PRNGs  are presented  in~\cite{Marsaglia2003}.   As each  PRNG  used works  with
+64-bits and as  our PRNG works with 32 bits, the  use of \texttt{(unsigned int)}
 selects the 32 least  significant bits whereas \texttt{(unsigned int)(t3$>>$32)}
-selects the 32 bits most significants bits of the variable \texttt{t}.
+selects the 32  most significants bits of the  variable \texttt{t}. This version
+sucesses   the   BigCrush   of    the   TestU01   battery   [P.   L’ecuyer   and
+  R. Simard. Testu01].
 
 \section{Efficient prng based on chaotic iterations on GPU}