\title{Gridification of a Radiotherapy Dose Computation Application with the XtremWeb-CH Environment}
-\author{Nabil Abdennhader\inst{1} \and Mohamed Ben Belgacem\inst{1} \and Raphaël Couturier\inst{2} \and
+\author{Nabil Abdennadher\inst{1} \and Mohamed Ben Belgacem\inst{1} \and Raphaël Couturier\inst{2} \and
David Laiymani\inst{2} \and Sébastien Miquée\inst{2} \and Marko Niinimaki\inst{1} \and Marc Sauget\inst{3}}
\institute{
\ref{fig:neurad_grid}):
\begin{enumerate}
\item We first send the learning application and its data to the
- middleware (more precisely on warehouses (DW)) and create the
- computation module;
+ middleware. In a first time, we send the application to data
+ warehouses (DW), and the create an "application module" on the
+ coordinator (Coord.) including references retrieved from the
+ previous sending operation. In a second time, we apply the same
+ process to application data.
\item When a worker (W) is ready to compute, it requests a task to
execute to the coordinator (Coord.);
-\item The coordinator assigns the worker a task. This last one retrieves the
-application and its assigned data and so can start the computation;
-\item At the end of the learning process, the worker sends the result to a warehouse.
+\item The coordinator assigns the worker a task. This last one
+ retrieves the application and its assigned data, by requesting them
+ to DW with references sent by the coordinator, and so can start the
+ computation;
+\item At the end of the learning process, the worker sends the result
+ to a warehouse.
\end{enumerate}
The last step of the application is to retrieve these results (some
weighted neural networks) and exploit them through a dose distribution
-process.
+process. This last step is out of the scope of this paper.
