modif ch7

diff --git a/BookGPU/BookGPU.tex b/BookGPU/BookGPU.tex
index c0386810da4b2e437402e4b356282665336a9a10..e744be88063b87b7480d756e4c14f699fe4d73ad 100755 (executable)
--- a/BookGPU/BookGPU.tex
+++ b/BookGPU/BookGPU.tex
@@ -165,29 +165,29 @@
 \include{Chapters/symbollist}
 
 \setcounter{page}{1}
 \include{Chapters/symbollist}
 
 \setcounter{page}{1}

-\part{Presentation of GPUs}
-\include{Chapters/chapter1/ch1}
-\include{Chapters/chapter2/ch2}
-\part{Image processing}
-\include{Chapters/chapter3/ch3}
-\part{Software development}
-\include{Chapters/chapter5/ch5}
-\include{Chapters/chapter6/ch6}
-\part{Optimization}
-\include{Chapters/chapter8/ch8}
-\include{Chapters/chapter9/ch9}
+%\part{Presentation of GPUs}
+%\include{Chapters/chapter1/ch1}
+%\include{Chapters/chapter2/ch2}
+%\part{Image processing}
+%\include{Chapters/chapter3/ch3}
+%\part{Software development}
+%\include{Chapters/chapter5/ch5}
+%\include{Chapters/chapter6/ch6}
+%\part{Optimization}
+%\include{Chapters/chapter8/ch8}
+%\include{Chapters/chapter9/ch9}

 
 \part{Numerical applications}
 
 \part{Numerical applications}

-\include{Chapters/chapter7/ch7}
-\include{Chapters/chapter11/ch11}
-\include{Chapters/chapter12/ch12}
-\include{Chapters/chapter13/ch13}
-\include{Chapters/chapter14/ch14}
-\include{Chapters/chapter15/ch15}
-\include{Chapters/chapter16/ch16}
+\include{Chapters/chapter7/ch7} %pb fonts
+%\include{Chapters/chapter11/ch11}
+%\include{Chapters/chapter12/ch12}
+%\include{Chapters/chapter13/ch13}
+%\include{Chapters/chapter14/ch14}
+%\include{Chapters/chapter15/ch15}
+%\include{Chapters/chapter16/ch16}

 \part{Other}
 \part{Other}

-\include{Chapters/chapter18/ch18}
-\include{Chapters/chapter19/ch19}
+%\include{Chapters/chapter18/ch18}
+%\include{Chapters/chapter19/ch19}

 
 \bibliographystyle{hep}
 %%%\bibliography{biblio}
 
 \bibliographystyle{hep}
 %%%\bibliography{biblio}

diff --git a/BookGPU/Chapters/chapter12/ch12.aux b/BookGPU/Chapters/chapter12/ch12.aux
index 225215655e5c03f4f88b475c641ecf625df65b43..97242d0baec3706797d5ba8153c4b2b459ac68a3 100644 (file)
--- a/BookGPU/Chapters/chapter12/ch12.aux
+++ b/BookGPU/Chapters/chapter12/ch12.aux
@@ -3,81 +3,81 @@
 \@writefile{toc}{\author{Rapha\IeC {\"e}l Couturier}{}}
 \@writefile{toc}{\author{Jacques Bahi}{}}
 \@writefile{loa}{\addvspace {10\p@ }}
 \@writefile{toc}{\author{Rapha\IeC {\"e}l Couturier}{}}
 \@writefile{toc}{\author{Jacques Bahi}{}}
 \@writefile{loa}{\addvspace {10\p@ }}

-\@writefile{toc}{\contentsline {chapter}{\numberline {11}Solving sparse linear systems with GMRES and CG methods on GPU clusters}{259}}
+\@writefile{toc}{\contentsline {chapter}{\numberline {10}Solving sparse linear systems with GMRES and CG methods on GPU clusters}{215}}

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-\@writefile{toc}{\contentsline {section}{\numberline {11.1}Introduction}{259}}
-\newlabel{ch12:sec:01}{{11.1}{259}}
-\@writefile{toc}{\contentsline {section}{\numberline {11.2}Krylov iterative methods}{260}}
-\newlabel{ch12:sec:02}{{11.2}{260}}
-\newlabel{ch12:eq:01}{{11.1}{260}}
-\newlabel{ch12:eq:02}{{11.2}{260}}
-\newlabel{ch12:eq:03}{{11.3}{260}}
-\newlabel{ch12:eq:11}{{11.4}{261}}
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-\newlabel{ch12:eq:09}{{11.10}{261}}
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-\newlabel{ch12:eq:13}{{11.13}{263}}
-\newlabel{ch12:eq:14}{{11.14}{263}}
-\newlabel{ch12:eq:15}{{11.15}{263}}
-\newlabel{ch12:eq:16}{{11.16}{263}}
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-\newlabel{ch12:eq:18}{{11.18}{263}}
-\newlabel{ch12:eq:19}{{11.19}{263}}
-\@writefile{loa}{\contentsline {algocf}{\numberline {10}{\ignorespaces Left-preconditioned GMRES method with restarts\relax }}{264}}
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-\newlabel{ch12:sec:03}{{11.3}{265}}
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-\@writefile{lof}{\contentsline {figure}{\numberline {11.5}{\ignorespaces Sketches of sparse matrices chosen from the Davis collection.\relax }}{271}}
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-\newlabel{ch12:eq:20}{{11.20}{273}}
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-\@writefile{toc}{\contentsline {section}{\numberline {11.5}Conclusion}{275}}
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-\newlabel{ch12:tab:06}{{11.6}{276}}
-\@writefile{toc}{\contentsline {section}{Bibliography}{276}}
+\newlabel{ch12}{{10}{215}}
+\@writefile{toc}{\contentsline {section}{\numberline {10.1}Introduction}{215}}
+\newlabel{ch12:sec:01}{{10.1}{215}}
+\@writefile{toc}{\contentsline {section}{\numberline {10.2}Krylov iterative methods}{216}}
+\newlabel{ch12:sec:02}{{10.2}{216}}
+\newlabel{ch12:eq:01}{{10.1}{216}}
+\newlabel{ch12:eq:02}{{10.2}{216}}
+\newlabel{ch12:eq:03}{{10.3}{216}}
+\newlabel{ch12:eq:11}{{10.4}{217}}
+\@writefile{toc}{\contentsline {subsection}{\numberline {10.2.1}CG method}{217}}
+\newlabel{ch12:sec:02.01}{{10.2.1}{217}}
+\newlabel{ch12:eq:04}{{10.5}{217}}
+\newlabel{ch12:eq:05}{{10.6}{217}}
+\newlabel{ch12:eq:06}{{10.7}{217}}
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+\newlabel{ch12:eq:08}{{10.9}{217}}
+\newlabel{ch12:eq:09}{{10.10}{217}}
+\@writefile{loa}{\contentsline {algocf}{\numberline {9}{\ignorespaces Left-preconditioned CG method\relax }}{218}}
+\newlabel{ch12:alg:01}{{9}{218}}
+\newlabel{ch12:eq:10}{{10.11}{218}}
+\@writefile{toc}{\contentsline {subsection}{\numberline {10.2.2}GMRES method}{219}}
+\newlabel{ch12:sec:02.02}{{10.2.2}{219}}
+\newlabel{ch12:eq:12}{{10.12}{219}}
+\newlabel{ch12:eq:13}{{10.13}{219}}
+\newlabel{ch12:eq:14}{{10.14}{219}}
+\newlabel{ch12:eq:15}{{10.15}{219}}
+\newlabel{ch12:eq:16}{{10.16}{219}}
+\newlabel{ch12:eq:17}{{10.17}{219}}
+\newlabel{ch12:eq:18}{{10.18}{219}}
+\newlabel{ch12:eq:19}{{10.19}{219}}
+\@writefile{loa}{\contentsline {algocf}{\numberline {10}{\ignorespaces Left-preconditioned GMRES method with restarts\relax }}{220}}
+\newlabel{ch12:alg:02}{{10}{220}}
+\@writefile{toc}{\contentsline {section}{\numberline {10.3}Parallel implementation on a GPU cluster}{221}}
+\newlabel{ch12:sec:03}{{10.3}{221}}
+\@writefile{toc}{\contentsline {subsection}{\numberline {10.3.1}Data partitioning}{221}}
+\newlabel{ch12:sec:03.01}{{10.3.1}{221}}
+\@writefile{lof}{\contentsline {figure}{\numberline {10.1}{\ignorespaces A data partitioning of the sparse matrix $A$, the solution vector $x$ and the right-hand side $b$ into four portions.\relax }}{222}}
+\newlabel{ch12:fig:01}{{10.1}{222}}
+\@writefile{toc}{\contentsline {subsection}{\numberline {10.3.2}GPU computing}{222}}
+\newlabel{ch12:sec:03.02}{{10.3.2}{222}}
+\@writefile{toc}{\contentsline {subsection}{\numberline {10.3.3}Data communications}{223}}
+\newlabel{ch12:sec:03.03}{{10.3.3}{223}}
+\@writefile{lof}{\contentsline {figure}{\numberline {10.2}{\ignorespaces Data exchanges between \textit  {Node 1} and its neighbors \textit  {Node 0}, \textit  {Node 2} and \textit  {Node 3}.\relax }}{224}}
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+\@writefile{lof}{\contentsline {figure}{\numberline {10.3}{\ignorespaces Columns reordering of a sparse sub-matrix.\relax }}{225}}
+\newlabel{ch12:fig:03}{{10.3}{225}}
+\@writefile{toc}{\contentsline {section}{\numberline {10.4}Experimental results}{226}}
+\newlabel{ch12:sec:04}{{10.4}{226}}
+\@writefile{lof}{\contentsline {figure}{\numberline {10.4}{\ignorespaces General scheme of the GPU cluster of tests composed of six machines, each with two GPUs.\relax }}{226}}
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+\@writefile{lof}{\contentsline {figure}{\numberline {10.5}{\ignorespaces Sketches of sparse matrices chosen from the Davis collection.\relax }}{227}}
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+\@writefile{lot}{\contentsline {table}{\numberline {10.1}{\ignorespaces Main characteristics of sparse matrices chosen from the Davis collection.\relax }}{227}}
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+\@writefile{toc}{\contentsline {section}{Bibliography}{232}}

 \@setckpt{Chapters/chapter12/ch12}{
 \@setckpt{Chapters/chapter12/ch12}{

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diff --git a/BookGPU/Chapters/chapter16/ch16.aux b/BookGPU/Chapters/chapter16/ch16.aux
index a0d90ea1718299fa134b689e2eaf0b5814e35f07..690208a46ef13c94472fa025b01d1cd86f0c2bec 100644 (file)
--- a/BookGPU/Chapters/chapter16/ch16.aux
+++ b/BookGPU/Chapters/chapter16/ch16.aux
@@ -4,72 +4,72 @@
 \@writefile{toc}{\author{H. Wang}{}}
 \@writefile{toc}{\author{H. Yu}{}}
 \@writefile{loa}{\addvspace {10\p@ }}
 \@writefile{toc}{\author{H. Wang}{}}
 \@writefile{toc}{\author{H. Yu}{}}
 \@writefile{loa}{\addvspace {10\p@ }}

-\@writefile{toc}{\contentsline {chapter}{\numberline {15}GPU-Accelerated Envelope-Following Method}{343}}
+\@writefile{toc}{\contentsline {chapter}{\numberline {14}GPU-Accelerated Envelope-Following Method}{299}}

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diff --git a/BookGPU/Chapters/chapter7/ch7.tex b/BookGPU/Chapters/chapter7/ch7.tex
index 401f132aea15bd79801faeeb035002c23a068cf1..e4ffb0af4a6f00fa8be14fa330ceb94ad763171f 100644 (file)
--- a/BookGPU/Chapters/chapter7/ch7.tex
+++ b/BookGPU/Chapters/chapter7/ch7.tex
@@ -9,7 +9,7 @@
 
 \begin{figure}[!htb]
 \centering
 
 \begin{figure}[!htb]
 \centering

-\includegraphics[width=0.95\textwidth]{Chapters/chapter7/figures/figSeries60CB06Type7StedaySnapshot.eps}
+\includegraphics[width=0.95\textwidth]{Chapters/chapter7/figures/figSeries60CB06Type7StedaySnapshot-eps-converted-to.pdf}

 %\caption{Snapshot of steady state wave field generated by a Series 60 ship hull.}
 \end{figure}
 
 %\caption{Snapshot of steady state wave field generated by a Series 60 ship hull.}
 \end{figure}
 


@@ -313,19 +313,19 @@ Similar results were reported for the first time in the context of high-order Bo
 \centering
 \subfigure[Grid scaling, $x=(1-a)\xi^3+a\xi$.]{
 % MainLaplace2D_ex03.m
 \centering
 \subfigure[Grid scaling, $x=(1-a)\xi^3+a\xi$.]{
 % MainLaplace2D_ex03.m

-\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/scalingNx25.eps}
+\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/scalingNx25-eps-converted-to.pdf}

 }
 \subfigure[High-order spatial discretisation and stable explicit time-stepping with large time steps for a nonlinear standing wave. Scaling based on $a=0$. ]{
 % MainLaplace2D_ex03.m
 }
 \subfigure[High-order spatial discretisation and stable explicit time-stepping with large time steps for a nonlinear standing wave. Scaling based on $a=0$. ]{
 % MainLaplace2D_ex03.m

-\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/standingwaveglozman.eps}
+\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/standingwaveglozman-eps-converted-to.pdf}

 }
 \subfigure[Uniform grid ($a=1$).]{
 % MainLaplace2D_ex035_nonlinearLaplace.m
 }
 \subfigure[Uniform grid ($a=1$).]{
 % MainLaplace2D_ex035_nonlinearLaplace.m

-\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/SFwaves_snapshots_uniform.eps}
+\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/SFwaves_snapshots_uniform-eps-converted-to.pdf}

 }
 \subfigure[Clustered grid ($a=0.05$).]{
 % MainLaplace2D_ex035_nonlinearLaplace.m
 }
 \subfigure[Clustered grid ($a=0.05$).]{
 % MainLaplace2D_ex035_nonlinearLaplace.m

-\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/SFwaves_snapshots_clustered.eps}
+\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/SFwaves_snapshots_clustered-eps-converted-to.pdf}

 }
 \caption{Numerical experiments to assess stability properties of numerical wave model. In three cases, computed snapshots are taken of the wave elevation over one wave period of time. In a) the grid distribution of nodes in a one-parameter mapping for the grid is illustrated. Results from changes in wave elevation are illustrated for b) a mildly nonlinear standing wave on a highly clustered grid, c) regular stream function wave of medium steepness in shallow water $(kh,H/L)=(0.5,0.0292)$ on a uniform grid ($N_x=80$) and d) for a nonuniform grid with a minimal grid spacing 20 times smaller(!). In every case the step size remains fixed at $\Delta t = T/160$ s corresponding to a Courant number $C_r=c\tfrac{\Delta t}{\Delta x}=0.5$ for the uniform grid. A 6'$th$ order scheme and explicit EKR4 time-stepping is used in each test case.}
 \label{ch7:numexp}
 }
 \caption{Numerical experiments to assess stability properties of numerical wave model. In three cases, computed snapshots are taken of the wave elevation over one wave period of time. In a) the grid distribution of nodes in a one-parameter mapping for the grid is illustrated. Results from changes in wave elevation are illustrated for b) a mildly nonlinear standing wave on a highly clustered grid, c) regular stream function wave of medium steepness in shallow water $(kh,H/L)=(0.5,0.0292)$ on a uniform grid ($N_x=80$) and d) for a nonuniform grid with a minimal grid spacing 20 times smaller(!). In every case the step size remains fixed at $\Delta t = T/160$ s corresponding to a Courant number $C_r=c\tfrac{\Delta t}{\Delta x}=0.5$ for the uniform grid. A 6'$th$ order scheme and explicit EKR4 time-stepping is used in each test case.}
 \label{ch7:numexp}


@@ -376,12 +376,12 @@ The profiles can be reversed by a change of coordinate, i.e. $\Gamma(1-x)$, and
 \centering
 \subfigure[Wave generation, reflection and absorption of small-amplitude waves.]{
 % Script : MainLaplace2D_ex03penalityLINEAR_REFLECTEDWAVES.m
 \centering
 \subfigure[Wave generation, reflection and absorption of small-amplitude waves.]{
 % Script : MainLaplace2D_ex03penalityLINEAR_REFLECTEDWAVES.m

-\includegraphics[width=0.98\textwidth]{Chapters/chapter7/figures/standingwavespenalty.eps}
+\includegraphics[width=0.98\textwidth]{Chapters/chapter7/figures/standingwavespenalty-eps-converted-to.pdf}

 % Nx = 480, 6th order, vertical clustering, Nz=6;
 }
 \subfigure[Wave generation and absorption of steep finite-amplitude waves.]{
 % Script : MainLaplace2D_ex03penalityNONLINEAR_GENERATEWAVES.m
 % Nx = 480, 6th order, vertical clustering, Nz=6;
 }
 \subfigure[Wave generation and absorption of steep finite-amplitude waves.]{
 % Script : MainLaplace2D_ex03penalityNONLINEAR_GENERATEWAVES.m

-\includegraphics[width=0.98\textwidth]{Chapters/chapter7/figures/nonlinearwavespenalty.eps}
+\includegraphics[width=0.98\textwidth]{Chapters/chapter7/figures/nonlinearwavespenalty-eps-converted-to.pdf}

 % Nx = 540, 6th order, vertical clustering, Nz=6;
 }
 \caption{Snapshots at intervals $T/8$ over one wave period in time of computed a) small-amplitude $(kh,kH)=(0.63,0.005)$ and b) finite-amplitude $(kh,kH)=(1,0.41)$ stream function waves elevations having reached a steady state after transient startup. Combined wave generation and absorption zones in the western relaxation zone of both a) and b). In b) an absorption zone is positioned next to the eastern boundary and causes minor visible reflections. }
 % Nx = 540, 6th order, vertical clustering, Nz=6;
 }
 \caption{Snapshots at intervals $T/8$ over one wave period in time of computed a) small-amplitude $(kh,kH)=(0.63,0.005)$ and b) finite-amplitude $(kh,kH)=(1,0.41)$ stream function waves elevations having reached a steady state after transient startup. Combined wave generation and absorption zones in the western relaxation zone of both a) and b). In b) an absorption zone is positioned next to the eastern boundary and causes minor visible reflections. }


@@ -681,10 +681,11 @@ where $m$ is one of the scalar functions $\phi,u,w$ describing kinematics, $c$ i
 \begin{figure}[!htb]
 \begin{center}
 \subfigure[Uniform vertical grid.]{
 \begin{figure}[!htb]
 \begin{center}
 \subfigure[Uniform vertical grid.]{

-\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/lineardispersion_Nx30-HL90-p6-vergrid0_Linear.eps}
+%\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/lineardispersion_Nx30-HL90-p6-vergrid0_Linear.eps}
+\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/lineardispersion_Nx30-HL90-p6-vergrid0_Linear-eps-converted-to.pdf}

 }
 \subfigure[Cosine-clustered vertical grid.]{
 }
 \subfigure[Cosine-clustered vertical grid.]{

-\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/lineardispersion_Nx30-HL90-p6_Linear.eps}
+\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/lineardispersion_Nx30-HL90-p6_Linear-eps-converted-to.pdf}

 }
 \end{center}
 \caption{The accuracy in phase celerity $c$ determined by \eqref{ch7:errdisp} for small-amplitude (linear) wave.
 }
 \end{center}
 \caption{The accuracy in phase celerity $c$ determined by \eqref{ch7:errdisp} for small-amplitude (linear) wave.


@@ -696,16 +697,16 @@ $N_z\in[6,12]$. Sixth order scheme.}
 \begin{figure}[!htb]
 \begin{center}
 \subfigure[Linear]{
 \begin{figure}[!htb]
 \begin{center}
 \subfigure[Linear]{

-\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/kinematicsPHI_Nx30-HL90-p6_Linear.eps}
+\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/kinematicsPHI_Nx30-HL90-p6_Linear-eps-converted-to.pdf}

 }
 \subfigure[Linear]{
 }
 \subfigure[Linear]{

-\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/kinematicsW_Nx30-HL90-p6_Linear.eps}
+\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/kinematicsW_Nx30-HL90-p6_Linear-eps-converted-to.pdf}

 }
 \subfigure[Nonlinear]{
 }
 \subfigure[Nonlinear]{

-\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/kinematicsPHI_Nx30-HL90-p6_Nonlinear.eps}
+\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/kinematicsPHI_Nx30-HL90-p6_Nonlinear-eps-converted-to.pdf}

 }
 \subfigure[Nonlinear]{
 }
 \subfigure[Nonlinear]{

-\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/kinematicsW_Nx30-HL90-p6_Nonlinear.eps}
+\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/kinematicsW_Nx30-HL90-p6_Nonlinear-eps-converted-to.pdf}

 }
 \end{center}
 \caption{Assessment of kinematic error is presented in terms of the depth-averaged error determined by \eqref{ch7:errkin} for a) scalar velocity potential and b) vertical velocity for a small-amplitude (linear) wave, and c) scalar velocity potential and d) vertical velocity for a finite-amplitude (nonlinear) wave with wave height $H/L=90\%(H/L)_\textrm{max}$.
 }
 \end{center}
 \caption{Assessment of kinematic error is presented in terms of the depth-averaged error determined by \eqref{ch7:errkin} for a) scalar velocity potential and b) vertical velocity for a small-amplitude (linear) wave, and c) scalar velocity potential and d) vertical velocity for a finite-amplitude (nonlinear) wave with wave height $H/L=90\%(H/L)_\textrm{max}$.


@@ -730,10 +731,10 @@ Previously reported performance results for the wave model can be taken a step f
 \begin{center}
 % MainLaplace2D_ex025nonlinearLaplaceSINGLE.m
 \subfigure[Single precision.]{
 \begin{center}
 % MainLaplace2D_ex025nonlinearLaplaceSINGLE.m
 \subfigure[Single precision.]{

-\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/PrecisionSINGLE.eps}
+\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/PrecisionSINGLE-eps-converted-to.pdf}

 }
 \subfigure[Double precision.]{
 }
 \subfigure[Double precision.]{

-\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/PrecisionDOUBLE.eps}
+\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/PrecisionDOUBLE-eps-converted-to.pdf}

 }
 \end{center}
 \caption{Comparison between convergence histories for single and double precision computations using a PDC method for the solution of the transformed Laplace problem. Very steep nonlinear stream function wave in intermediate water $(kh,H/L)=(1,0.0903)$. Discretizaiton based on $(N_x,N_z)=(15,9)$ with 6'$th$ order stencils.}
 }
 \end{center}
 \caption{Comparison between convergence histories for single and double precision computations using a PDC method for the solution of the transformed Laplace problem. Very steep nonlinear stream function wave in intermediate water $(kh,H/L)=(1,0.0903)$. Discretizaiton based on $(N_x,N_z)=(15,9)$ with 6'$th$ order stencils.}


@@ -758,16 +759,16 @@ Results from numerical experiments are presented in figure \ref{ch7:filtering} a
 \begin{center}
 % DriverWavemodelDecomposition.m
 \subfigure[Direct solve without filter.]{
 \begin{center}
 % DriverWavemodelDecomposition.m
 \subfigure[Direct solve without filter.]{

-\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/ComparisonLUNoFiltering.eps}
+\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/ComparisonLUNoFiltering-eps-converted-to.pdf}

 }
 \subfigure[Direct solve with filter.]{
 }
 \subfigure[Direct solve with filter.]{

-\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/ComparisonLUWithFiltering.eps}
+\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/ComparisonLUWithFiltering-eps-converted-to.pdf}

 } \\
 \subfigure[Iterative PDC solve without filter.]{
 } \\
 \subfigure[Iterative PDC solve without filter.]{

-\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/ComparisonDCNoFiltering.eps}
+\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/ComparisonDCNoFiltering-eps-converted-to.pdf}

 }
 \subfigure[Iterative PDC solve with filter.]{
 }
 \subfigure[Iterative PDC solve with filter.]{

-\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/ComparisonDCWithFiltering.eps}
+\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/ComparisonDCWithFiltering-eps-converted-to.pdf}

 }
 \end{center}
 \caption{Comparison between accuracy as a function of time for double precision calculations vs. single precision with and without filtering. The double precision result are unfiltered in each comparison and shows to be less sensitive to roundoff-errors. Medium steep nonlinear stream function wave in intermediate water $(kh,H/L)=(1,0.0502)$. Discretization is based on $(N_x,N_z)=(30,6)$, A courant number of $C_r=0.5$ and 6'$th$ order stencils.}
 }
 \end{center}
 \caption{Comparison between accuracy as a function of time for double precision calculations vs. single precision with and without filtering. The double precision result are unfiltered in each comparison and shows to be less sensitive to roundoff-errors. Medium steep nonlinear stream function wave in intermediate water $(kh,H/L)=(1,0.0502)$. Discretization is based on $(N_x,N_z)=(30,6)$, A courant number of $C_r=0.5$ and 6'$th$ order stencils.}


@@ -894,10 +895,10 @@ The modified numerical model can still be based on flexible-order finite differe
 \begin{figure}[!htb]
 \begin{center}
 \subfigure[Hydrodynamic force calculations.]{
 \begin{figure}[!htb]
 \begin{center}
 \subfigure[Hydrodynamic force calculations.]{

-\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/figSeries60CB06Type7Resistance.eps}
+\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/figSeries60CB06Type7Resistance-eps-converted-to.pdf}

 }
 \subfigure[Kelvin pattern.]{
 }
 \subfigure[Kelvin pattern.]{

-\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/figSeries60CB06Type7kelvin.eps}
+\includegraphics[width=0.45\textwidth]{Chapters/chapter7/figures/figSeries60CB06Type7kelvin-eps-converted-to.pdf}

 }
 \end{center}
 \caption{Computed results. Comparison with experiments for hydrodynamics force calculations confirming engineering accuracy for low Froudes numbers.}
 }
 \end{center}
 \caption{Computed results. Comparison with experiments for hydrodynamics force calculations confirming engineering accuracy for low Froudes numbers.}

diff --git a/BookGPU/Chapters/chapter7/figures/lineardispersion_Nx30-HL90-p6-vergrid0_Linear-eps-converted-to.pdf b/BookGPU/Chapters/chapter7/figures/lineardispersion_Nx30-HL90-p6-vergrid0_Linear-eps-converted-to.pdf
index f9412ea314e06ac5e4eb1c8ac7636d8c110c7202..c84ebef783add62f20da256b79e7e72d539a3b5c 100644 (file)
Binary files a/BookGPU/Chapters/chapter7/figures/lineardispersion_Nx30-HL90-p6-vergrid0_Linear-eps-converted-to.pdf and b/BookGPU/Chapters/chapter7/figures/lineardispersion_Nx30-HL90-p6-vergrid0_Linear-eps-converted-to.pdf differ