ch1

[book_gpu.git] / BookGPU / Chapters / chapter17 / ch17.tex

diff --git a/BookGPU/Chapters/chapter17/ch17.tex b/BookGPU/Chapters/chapter17/ch17.tex
index 75762846ef5e964df2088d29d39a7ffa4f733a6d..d6e3a314b80676b8f715167c02acc01b2976cbcc 100755 (executable)
--- a/BookGPU/Chapters/chapter17/ch17.tex
+++ b/BookGPU/Chapters/chapter17/ch17.tex
@@ -374,6 +374,7 @@ the total numbers of access needed to updated those populations.
 
 %\lstinputlisting[language=C,caption=Collembola OpenCL
 %kernels,label=fig:collem_kernels]{Chapters/chapter17/code/collem_kernels.cl}
+\pagebreak
 \lstinputlisting[caption=Collembola OpenCL Diffusion kernel,label=ch17:listing:collembola-diffuse]{Chapters/chapter17/code/collem_kernel_diffuse.cl}
 
 The reproduction, diffusion and culling steps are implemented on GPU
@@ -646,6 +647,7 @@ implementation by enforcing a quasi-sequential execution. It is
 necessary, in the case of MIOR as well as for other ABM, to ensure
 that each work-item is not too constrained in its execution.
 
+\pagebreak
 \lstinputlisting[caption=Main MIOR kernel,label=ch17:listing:mior_kernels]{Chapters/chapter17/code/mior_kernels.cl}
 
 From the sequential algorithm 1 where all the agents share the same