suite

[book_gpu.git] / BookGPU / Chapters / chapter3 / ch3.tex

diff --git a/BookGPU/Chapters/chapter3/ch3.tex b/BookGPU/Chapters/chapter3/ch3.tex
index 83bb339aa5b82758ac064c9c4facb472005d00b8..e04a36ccb522e86badd570bbd206cd9f73ac0667 100755 (executable)
--- a/BookGPU/Chapters/chapter3/ch3.tex
+++ b/BookGPU/Chapters/chapter3/ch3.tex
@@ -115,15 +115,15 @@ However, so as to propose concise and more readable code, we will assume the fol
 
 \begin{algorithm}
 \SetNlSty{}{}{:}
- allocate and populate CPU memory \textbf{h\_in}\;\\
- allocate CPU pinned-memory \textbf{h\_out}\;\\
- allocate GPU global memory \textbf{d\_out}\;\\
- declare GPU texture reference \textbf{tex\_img\_in}\;\\
- allocate GPU array in global memory \textbf{array\_img\_in}\;\\
- bind GPU array \textbf{array\_img\_in} to texture \textbf{tex\_img\_in}\;\\
- copy data from \textbf{h\_in} to \textbf{array\_img\_in}\label{algo:memcopy:H2D}\;\\
- kernel\kl gridDim,blockDim\kr()\tcc*[f]{outputs to d\_out}\label{algo:memcopy:kernel}\;\\
- copy data from \textbf{d\_out} to \textbf{h\_out} \label{algo:memcopy:D2H}\;\\
+ allocate and populate CPU memory \textbf{h\_in}\;
+ allocate CPU pinned-memory \textbf{h\_out}\;
+ allocate GPU global memory \textbf{d\_out}\;
+ declare GPU texture reference \textbf{tex\_img\_in}\;
+ allocate GPU array in global memory \textbf{array\_img\_in}\;
+ bind GPU array \textbf{array\_img\_in} to texture \textbf{tex\_img\_in}\;
+ copy data from \textbf{h\_in} to \textbf{array\_img\_in}\label{algo:memcopy:H2D}\;
+ kernel\kl gridDim,blockDim\kr()\tcc*[f]{outputs to d\_out}\label{algo:memcopy:kernel}\;
+ copy data from \textbf{d\_out} to \textbf{h\_out} \label{algo:memcopy:D2H}\;
 \caption{Global memory management on CPU and GPU sides.}
 \label{algo:memcopy}
 \end{algorithm}
@@ -238,13 +238,13 @@ On the GPU's side, we note high dependence on window size due to the redundancy
  %\SetNlSty{}{}{:} 
   % \SetLine
   %\linesnumbered
-  copy data from CPU to GPU texture memory\label{algoMedianGeneric:memcpyH2D}\;\\ 
+  copy data from CPU to GPU texture memory\label{algoMedianGeneric:memcpyH2D}\; 
   \ForEach(\tcc*[f]{in parallel}){pixel at position $(x, y)$}{
-    Read gray-level values of the n$\times$n neighborhood\label{algoMedianGeneric:cptstart}\;\\
-    Selects the median value among those n$\times$n values\;\\
-    Outputs the new gray-level value \label{algoMedianGeneric:cptend}\;\\
+    Read gray-level values of the n$\times$n neighborhood\label{algoMedianGeneric:cptstart}\;
+    Selects the median value among those n$\times$n values\;
+    Outputs the new gray-level value \label{algoMedianGeneric:cptend}\;
   }
-copy data from GPU global memory to CPU memory\label{algoMedianGeneric:memcpyD2H}\;\\
+copy data from GPU global memory to CPU memory\label{algoMedianGeneric:memcpyD2H}\;
 \caption{\label{algoMedianGeneric}generic n$\times$n median filter}
 \end{algorithm}