From 065c8445483c2244976fa7af7a1dfc81f6e0096e Mon Sep 17 00:00:00 2001 From: Kahina Date: Tue, 20 Oct 2015 15:08:40 +0200 Subject: [PATCH] new --- paper.tex | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/paper.tex b/paper.tex index a5d253f..73a2b47 100644 --- a/paper.tex +++ b/paper.tex @@ -1,6 +1,6 @@ \documentclass[review]{elsarticle} -%\usepackage{lineno,hyperref} +\usepackage{lineno,hyperref} \usepackage[utf8]{inputenc} %%\usepackage[T1]{fontenc} %%\usepackage[french]{babel} @@ -454,7 +454,7 @@ The means steps of Aberth method can expressed as an algorithm like: \begin{algorithm}[H] -\LinesNumbered +%\LinesNumbered \caption{Algorithm to find root polynomial with Aberth method} \KwIn{$Z^{0}$(Initial root's vector),$\varepsilon$ (error @@ -532,7 +532,7 @@ In theory, the $Total\_time_{exe}$ on GPU is speed up nbr\_thread times as a $To In CUDA platform, All the instruction of the loop \verb=for= are executed by the GPU as a kernel form. A kernel is a procedure written in CUDA and defined by a heading \verb=__global__=, which means that it is to be executed by the GPU. The following algorithm see the Aberth algorithm on GPU: \begin{algorithm}[H] -\LinesNumbered +%\LinesNumbered \caption{Algorithm to find root polynomial with Aberth method} \KwIn{$Z^{0}$(Initial root's vector),$\varepsilon$ (error @@ -560,7 +560,7 @@ After the initialization step, all data of the root finding problem to be solved The second kernel executes the iterative function and update Z(k),as formula (), we notice that the kernel update are called in two forms, separated with the value of \emph{R} which determines the radius beyond which we apply the logarithm formula like this: \begin{algorithm}[H] -\LinesNumbered +%\LinesNumbered \caption{A global Algorithm for the iterative function} \eIf{$(\left|Z^{(k)}\right|<= R)$}{ -- 2.39.5