X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/book_gpu.git/blobdiff_plain/ed20d271e0c4a028423b481170c4d31311494721..177d75ae3d1a1061fb9caa43de9afca760ca0d1a:/BookGPU/Chapters/chapter17/ch17.tex diff --git a/BookGPU/Chapters/chapter17/ch17.tex b/BookGPU/Chapters/chapter17/ch17.tex index 9b1c611..4aa06b8 100755 --- a/BookGPU/Chapters/chapter17/ch17.tex +++ b/BookGPU/Chapters/chapter17/ch17.tex @@ -1,9 +1,9 @@ \chapterauthor{Guillaume Laville}{Femto-ST Institute, University of Franche-Comte, France} \chapterauthor{Christophe Lang}{Femto-ST Institute, University of Franche-Comte, France} -\chapterauthor{Kamel Mazouzi}{Femto-ST Institute, University of Franche-Comte, France} -\chapterauthor{Nicolas Marilleau}{Femto-ST Institute, University of Franche-Comte, France} +\chapterauthor{Kamel Mazouzi}{Franche-Comte Computing Center, University of Franche-Comte, France} +\chapterauthor{Nicolas Marilleau}{UMMISCO, Institut de Recherche pour le Développement (IRD), France} \chapterauthor{Bénédicte Herrmann}{Femto-ST Institute, University of Franche-Comte, France} -%\chapterauthor{Laurent Philippe}{Femto-ST Institute, University of Franche-Comte, France} +\chapterauthor{Laurent Philippe}{Femto-ST Institute, University of Franche-Comte, France} \newlength\mylen \newcommand\myinput[1]{% @@ -11,7 +11,7 @@ \setlength\hangindent{\mylen}% \hspace*{\mylen}#1\\} -\chapter{Implementing MAS on GPU} +\chapter{Implementing Multi-Agent Systems on GPU} \label{chapter17} @@ -47,7 +47,7 @@ solution to increase simulation performance but Graphical Processing Units (GPU) are also a promising technology with an attractive performance/cost ratio. -Conceptually a MAS is a distributed system as it favors the definition +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 SIMD model should fit the simulation execution. Most of the @@ -299,7 +299,7 @@ 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} +\subsection{The Collembola model\index{Collembola model}} \label{ch17:subsec:collembolamodel} The Collembola model is an example of multi-agent system using GIS (Geographical Information System)