X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/book_gpu.git/blobdiff_plain/177d75ae3d1a1061fb9caa43de9afca760ca0d1a..5dadaa83fd77112c7c6ace09f8ec840af2109d3e:/BookGPU/Chapters/chapter3/ch3.aux

diff --git a/BookGPU/Chapters/chapter3/ch3.aux b/BookGPU/Chapters/chapter3/ch3.aux
index a5fefc8..69d76c6 100644
--- a/BookGPU/Chapters/chapter3/ch3.aux
+++ b/BookGPU/Chapters/chapter3/ch3.aux
@@ -19,11 +19,11 @@
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 \newlabel{lst:chronos}{{3.4}{28}}
 \@writefile{lol}{\contentsline {lstlisting}{\numberline {3.4}Time measurement technique using cutil functions}{28}}
+\@writefile{toc}{\author{Gilles Perrot}{}}
 \@writefile{loa}{\addvspace {10\p@ }}
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 \@writefile{toc}{\contentsline {section}{\numberline {4.1}Introduction}{31}}
 \@writefile{toc}{\contentsline {section}{\numberline {4.2}Median filtering}{32}}
 \@writefile{toc}{\contentsline {subsection}{\numberline {4.2.1}Basic principles}{32}}
@@ -36,7 +36,7 @@
 \newlabel{sub@img:sap_example_med5}{{(c)}{33}}
 \newlabel{img:sap_example_med3_it2}{{4.1(d)}{33}}
 \newlabel{sub@img:sap_example_med3_it2}{{(d)}{33}}
-\@writefile{lof}{\contentsline {figure}{\numberline {4.1}{\ignorespaces Exemple of median filtering, applied to salt \& pepper noise reduction.\relax }}{33}}
+\@writefile{lof}{\contentsline {figure}{\numberline {4.1}{\ignorespaces Example of median filtering, applied to salt \& pepper noise reduction.\relax }}{33}}
 \@writefile{lof}{\contentsline {subfigure}{\numberline{(a)}{\ignorespaces {Airplane image, corrupted by salt and pepper noise of density 0.25}}}{33}}
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 \@writefile{lof}{\contentsline {subfigure}{\numberline{(c)}{\ignorespaces {Image denoised by a $5\times 5$ median filter}}}{33}}
@@ -44,6 +44,8 @@
 \newlabel{fig:sap_examples}{{4.1}{33}}
 \newlabel{lst:medianGeneric}{{4.1}{34}}
 \@writefile{lol}{\contentsline {lstlisting}{\numberline {4.1}Generic CUDA kernel achieving median filtering}{34}}
+\@writefile{lof}{\contentsline {figure}{\numberline {4.2}{\ignorespaces Example of 5x5 median filtering\relax }}{35}}
+\newlabel{fig:median_1}{{4.2}{35}}
 \newlabel{algoMedianGeneric}{{2}{35}}
 \newlabel{algoMedianGeneric:memcpyH2D}{{1}{35}}
 \newlabel{algoMedianGeneric:cptstart}{{3}{35}}
@@ -51,8 +53,6 @@
 \newlabel{algoMedianGeneric:memcpyD2H}{{7}{35}}
 \@writefile{loa}{\contentsline {algocf}{\numberline {2}{\ignorespaces generic n$\times $n median filter\relax }}{35}}
 \@writefile{toc}{\contentsline {section}{\numberline {4.3}NVidia GPU tuning recipes}{35}}
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-\newlabel{fig:median_1}{{4.2}{35}}
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@@ -64,9 +64,9 @@
 \@writefile{toc}{\contentsline {subsection}{\numberline {4.4.2}Further optimization}{38}}
 \@writefile{lof}{\contentsline {figure}{\numberline {4.4}{\ignorespaces Comparison of pixel throughputs on GPU C2070 and CPU for generic median, 3$\times $3 median register-only and \textit  {libJacket}.\relax }}{39}}
 \newlabel{fig:compMedians1}{{4.4}{39}}
-\@writefile{lof}{\contentsline {figure}{\numberline {4.5}{\ignorespaces Forgetful selection with the minimal element register count. Illustration for 3$\times $3 pixel window represented in a row and supposed sorted.\relax }}{39}}
-\newlabel{fig:forgetful_selection}{{4.5}{39}}
 \@writefile{toc}{\contentsline {subsubsection}{\numberline {4.4.2.1}Reducing register count }{39}}
+\@writefile{lof}{\contentsline {figure}{\numberline {4.5}{\ignorespaces Forgetful selection with the minimal element register count. Illustration for 3$\times $3 pixel window represented in a row and supposed sorted.\relax }}{40}}
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 \@writefile{lof}{\contentsline {figure}{\numberline {4.6}{\ignorespaces Determination of the Median value by the forgetful selection process, applied to a $3\times 3$ neighborhood window.\relax }}{41}}
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 \newlabel{lst:medianForget1pix3}{{4.3}{41}}
@@ -81,10 +81,10 @@
 \newlabel{fig:compMedians2}{{4.8}{44}}
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 \@writefile{toc}{\contentsline {subsection}{\numberline {4.5.1}A register-only 5$\times $5 median filter }{44}}
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+\@writefile{lof}{\contentsline {figure}{\numberline {4.9}{\ignorespaces Reducing register count in a 5$\times $5 register-only median kernel outputting 2 pixels simultaneously.}}{45}}
 \newlabel{fig:median5overlap}{{4.9}{45}}
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-\newlabel{fig:median5overlap}{{4.10}{45}}
+\@writefile{lof}{\contentsline {figure}{\numberline {4.10}{\ignorespaces First iteration of the $5\times 5$ selection process, with $k_{25}=14$, which shows how Instruction Level Parallelism is maximized by the use of an incomplete sorting network.}}{45}}
+\newlabel{fig:bitonic}{{4.10}{45}}
 \newlabel{lst:medianForget2pix5}{{4.5}{46}}
 \@writefile{lol}{\contentsline {lstlisting}{\numberline {4.5}kernel 5$\times $5 median filter processing 2 output pixel values per thread by a combined forgetfull selection.}{46}}
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@@ -100,7 +100,7 @@
 \newlabel{sub@img:sap_example_sep_med5}{{(c)}{49}}
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 \newlabel{sub@img:sap_example_sep_med3_it2}{{(d)}{49}}
-\@writefile{lof}{\contentsline {figure}{\numberline {4.11}{\ignorespaces Exemple of separable median filtering (smoother), applied to salt \& pepper noise reduction.\relax }}{49}}
+\@writefile{lof}{\contentsline {figure}{\numberline {4.11}{\ignorespaces Example of separable median filtering (smoother), applied to salt \& pepper noise reduction.\relax }}{49}}
 \@writefile{lof}{\contentsline {subfigure}{\numberline{(a)}{\ignorespaces {Airplane image, corrupted with by salt and pepper noise of density 0.25}}}{49}}
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 \newlabel{fig:sap_examples2}{{4.11}{49}}
 \newlabel{lst:medianSeparable}{{4.6}{50}}
 \@writefile{lol}{\contentsline {lstlisting}{\numberline {4.6}generic pseudo median kernel.}{50}}
-\@writefile{toc}{\contentsline {section}{Bibliography}{51}}
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