From: Kahina Date: Sat, 24 Oct 2015 23:30:55 +0000 (+0200) Subject: MAJ The comparative study X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/kahina_paper1.git/commitdiff_plain/d5a8b20ef4abd7e732263bfc285709b72885d259 MAJ The comparative study --- diff --git a/figures/EA_DK.pdf b/figures/EA_DK.pdf index 5eb9808..69144ae 100644 Binary files a/figures/EA_DK.pdf and b/figures/EA_DK.pdf differ diff --git a/figures/EA_DK.txt b/figures/EA_DK.txt index dca073f..d3939a5 100644 --- a/figures/EA_DK.txt +++ b/figures/EA_DK.txt @@ -10,7 +10,7 @@ 300000 138.94 21 1089.61 27 350000 159.65 18 1746.53 22 400000 258.91 22 3112 20 -450000 339.47 23 +450000 339.47 23 500000 419.78 23 550000 415.94 19 600000 549.70 21 @@ -35,12 +35,12 @@ 250000 1958.24 348 11.33 18 300000 2800.53 319 20.47 21 350000 4071.47 378 35.07 26 -400000 -450000 -500000 -550000 -600000 -650000 +400000 3339.4 238 +450000 3983.34 221 +500000 5737.84 257 +550000 6783.73 235 +600000 12339 398 +650000 700000 750000 800000 diff --git a/paper.tex b/paper.tex index 5bef5e8..35896ae 100644 --- a/paper.tex +++ b/paper.tex @@ -334,7 +334,6 @@ Q(z_{k})=\exp\left( \ln (p(z_{k}))-\ln(p(z_{k}^{'}))+\ln \left( \end{equation} This solution is applied when the root except the circle unit, represented by the radius $R$ evaluated as: - $$R = \exp( \log(DBL\_MAX) / (2*n) )$$ where $DBL\_MAX$ stands for the maximum representable double value. \section{The implementation of simultaneous methods in a parallel computer} @@ -493,7 +492,7 @@ There exists two ways to execute the iterative function that we call a Jacobi on H(i,z^{k+1})=\frac{p(z^{(k)}_{i})}{p'(z^{(k)}_{i})-p(z^{(k)}_{i})\sum^{n}_{j=1 j\neq i}\frac{1}{z^{(k)}_{i}-z^{(k)}_{j}}}, i=1,...,n. \end{equation} -With the the Gauss-seidel iteration, we have: +With the Gauss-seidel iteration, we have: \begin{equation} \label{eq:Aberth-H-GS} H(i,z^{k+1})=\frac{p(z^{(k)}_{i})}{p'(z^{(k)}_{i})-p(z^{(k)}_{i})(\sum^{i-1}_{j=1}\frac{1}{z^{(k)}_{i}-z^{(k+1)}_{j}}+\sum^{n}_{j=i+1}\frac{1}{z^{(k)}_{i}-z^{(k)}_{j}})}, i=1,...,n. @@ -622,7 +621,11 @@ E5620@2.40GHz and a GPU K40 (with 6 Go of ram). \subsection{Comparative study} -We initially carried out the convergence of Aberth algorithm with various sizes of polynomial, in second we evaluate the influence of the size of the threads per block.... +In this section, we discuss the performance Ehrlish-Aberth method of root finding polynomials implemented on CPUs and on GPUs. + +We performed a set of experiments on the sequential and the parallel algorithms, for both sparse and full polynomials and different sizes. We took into account the execution time,the polynomial size and the number of threads per block performed by sum or each experiment on CPUs and on GPUs. + +All experimental results obtained from the simulations are made in double precision data, for a convergence tolerance of the methods set to $10^{-7}$. Since we were more interested in the comparison of the performance behaviors of Ehrlish-Aberth and Durand-Kerner methods on CPUs versus on GPUs. \subsubsection{Aberth algorithm on CPU and GPU}