alogo 2 provisoire

diff --git a/paper.tex b/paper.tex
index b579c69cf1e7bc134798b74fb1a2cbe0e38cb963..6d8658fa7d82f412d8fec037ac55f3c93a4e30a9 100644 (file)
--- a/paper.tex
+++ b/paper.tex
@@ -17,8 +17,6 @@
   \todo[color=orange!10,#1]{\sffamily\textbf{AS:} #2}\xspace}
 
 
-
-
 \begin{document}
 
 \title{Two parallel implementations of Ehrlich-Aberth algorithm for root-finding of polynomials on multiple GPUs with OpenMP and MPI}
@@ -293,15 +291,14 @@ $id_{gpu}$ = cudaGetDevice()\;
 $n_{loc}$ = $n/ngpu$ (local size)\;
 %$idx$ = $id_{gpu}\times n_{loc}$ (local offset)\;
 Copy $P$, $P'$ from CPU to GPU\;
-\While{\emph{not convergence}}{
+\While{$max > \epsilon$}{
   Copy $Z$ from CPU to GPU\;
   $Z^{prev}$ = KernelSave($Z,n$)\;
-  $Z_{loc}$ = KernelUpdate($P,P',Z^{prev},n_{loc}$)\;
+  $Z_{loc}$ = KernelUpdate($P,P',Z,n_{loc}$)\;
   $\Delta Z_{loc}$ = KernelComputeError($Z_{loc},Z^{prev}_{loc},n_{loc}$)\;
   $\Delta Z_{max}[id_{gpu}]$ = CudaMaxFunction($\Delta Z_{loc},n_{loc}$)\;
   Copy $Z_{loc}$ from GPU to $Z$ in CPU\;
-  $max$ = MaxFunction($\Delta Z_{max},ngpu$)\;
-  TestConvergence($max,\epsilon$)\;
+  $max$ = MaxFunction($\Delta Z_{max},ngpu$)\; 
 }
 \label{alg2-cuda-openmp}
 \LZK{J'ai modifié l'algo. Le $P$ est mis shared. Qu'en est-il pour