X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/book_gpu.git/blobdiff_plain/5dadaa83fd77112c7c6ace09f8ec840af2109d3e..ecd01808b5702d940bd77107a2bf829d3832179b:/BookGPU/Chapters/chapter17/ch17.tex?ds=sidebyside

diff --git a/BookGPU/Chapters/chapter17/ch17.tex b/BookGPU/Chapters/chapter17/ch17.tex
index bec01e3..93204ce 100755
--- a/BookGPU/Chapters/chapter17/ch17.tex
+++ b/BookGPU/Chapters/chapter17/ch17.tex
@@ -48,7 +48,7 @@ and grids are often identified as the main solution to increase
 simulation performance but GPUs are also a promising technology with
 an attractive performance/cost ratio.
 
-Conceptually a MAS\index{Multi-Agent System} is a distributed system
+Conceptually a MAS\index{multi-agent system} is a distributed system
 as it favors the definition and description of large sets of
 individuals, the agents, that can be run in parallel. As a large set
 of agents could have the same behavior, a Single Instruction Multiple
@@ -298,7 +298,7 @@ collembolas in fields and forests. It is based on a diffusion
 algorithm which illustrates the case of agents with a simple behavior
 and few synchronization problems.
 
-\subsection{The Collembola model\index{Collembola model}}
+\subsection{The Collembola model\index{collembola model}}
 \label{ch17:subsec:collembolamodel}
 
 The Collembola model is an example of multi-agent system using GIS
@@ -658,7 +658,7 @@ 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}
+\lstinputlisting[caption=main MIOR kernel,label=ch17:listing:mior_kernels]{./Chapters/chapter17/code/mior_kernels.cl}
 
 From the sequential algorithm (Algorithm~\ref{ch17:seqalgo}) where all
 the agents share the same data, we have developed a parallel algorithm