+++ /dev/null
--# Analysis description
--set encoding iso_8859_1
--set terminal x11
--set size 1,0.5
--set term postscript enhanced portrait "Helvetica" 12
--
--set ylabel "execution times (in s)"
--set xlabel "Sparse and full polynomial's degrees"
--set logscale x
--set logscale y
-#'#dd181f
-#'#dd181f'
--
--#set key on outside left bmargin
- set style line 1 lc rgb '#0060ad' lt 1 lw 2 pt 1 ps 1.5 # --- blue
- set style line 2 lc rgb '#dd181f' lt 1 lw 2 pt 5 ps 1.5 # --- red
- set style line 4 lc rgb '#dd181f' lt 1 lw 2 pt 9 ps 1.5 # --- red
- set style line 3 lc rgb '#0060ad' lt 1 lw 2 pt 6 ps 1.5 # --- red
-set style line 1 lc rgb '#000c16' lt 1 lw 2 pt 1 ps 1.5 # --- blue
-set style line 2 lc rgb '#000c16' lt 1 lw 2 pt 5 ps 1.5 # --- red
-set style line 4 lc rgb '#000c16' lt 1 lw 2 pt 9 ps 1.5 # --- red
-set style line 3 lc rgb '#000c16' lt 1 lw 2 pt 6 ps 1.5 # --- red
--
-- plot'log_exp_Sparse.txt' index 0 using 1:4 t "Sparse polynomial No exp.log" with linespoints ls 4,\
-- 'log_exp_Sparse.txt' index 0 using 1:2 t "Sparse polynomial with exp.log" with linespoints ls 1,\
-- 'log_exp_Sparse.txt' index 1 using 1:2 t "Sparse polynomial with exp.log" with linespoints ls 1,\
--'log_exp.txt' index 0 using 1:4 t "Full polynomial No exp.log" with linespoints ls 2,\
-- 'log_exp.txt' index 0 using 1:2 t "Full polynomial with exp.log" with linespoints ls 3,\
-- 'log_exp.txt'index 1 using 1:2 t "Full polynomail with exp.log" with linespoints ls 3
\label{fig:02}
\end{figure}
- Figure~\ref{fig:02} shows that, the best execution time for both
- sparse and full polynomial are given when the threads number varies
- between 64 and 256 threads per block. We notice that with small
- polynomials the best number of threads per block is 64, whereas the
- large polynomials the best number of threads per block is
- 256. However, in the following experiments we specify that the number
- of threads per block is 256.
+ The figure 2 show that, the best execution time for both sparse and full polynomial are given when the threads number varies between 64 and 256 threads per bloc. We notice that with small polynomials the best number of threads per block is 64, Whereas, the large polynomials the best number of threads per block is 256. However,In the following experiments we specify that the number of thread by block is 256.
- \subsection{Influence of exponential-logarithm solution to compute very high degrees polynomials}
+ \subsection{The impact of exp-log solution to compute very high degrees of polynomial}
++<<<<<<< HEAD
+In this experiment we report the performance of exp-log solution described in Section~\ref{sec2} to compute very high degrees polynomials.
++=======
+ In this experiment we report the performance of log.exp solution describe in ~\ref{sec2} to compute very high degrees polynomials.
++>>>>>>> 7f2978c0d220516decb65faf2b8ba2da34df8db2
\begin{figure}[htbp]
\centering
\includegraphics[width=0.8\textwidth]{figures/sparse_full_explog}