given problem you don't really want to implement.
If you want to use DAGs, have a look at the \ref SD_API programming
environment.
- If you want to get a real (but experimental) implementation of your solution, have a look
- at the \ref GRAS_API one. If you want to study an existing MPI program,
+ If you want to study an existing MPI program,
have a look at the \ref SMPI_API one. If none of those programming
environments fits your needs, you may consider implementing your own
directly on top of \ref SURF_API (but you probably want to contact us
*/
-/** \defgroup GRAS_API GRAS
- \brief Realistic programming environment (Grid Reality And Simulation)
-
- GRAS provides a complete API to implement distributed application on top
- of heterogeneous plateforms. In addition to the SimGrid implementation
- of this interface (allowing you to work on your application within the
- comfort of the simulator), an implementation suited to real platforms is
- also provided (allowing you to really use your application once you're
- done with developing it). It may still contain rought corners as
- GRAS is not the most used part of SimGrid, however.
-
- GRAS thus constitute a complete grid application developement framework,
- encompassing both developer helping tools (the simulator and associated
- tools) and an efficient while portable execution runtime.
-
- \section GRAS_who Who should use this (and who shouldn't)
-
- You should use this programming environment if you want to develop real
- applications, ie if the final result of your work is a program which
- may eventually be distributed. Rember however that GRAS is
- considered as experimental at this point. Help would be welcomed
- to improve this sorry situation...
-
- If you just want to study some heuristics for a given problem you don't
- want to implement really (ie, if your result would be a theorem), have a
- look at the \ref MSG_API one, or the \ref SD_API one if you need to use DAGs.
- If you want to study an existing MPI program, have a look at the
- \ref SMPI_API one.
- If none of those programming environments fits your needs, you may
- consider implementing your own directly on top of \ref SURF_API (but you
- probably want to contact us before).
-*/
-
-/** \defgroup AMOK_API AMOK
- \brief Distributed toolkit built over \ref GRAS_API (Advanced Metacomputing Overlay Kit)
-
- AMOK provides several tools useful to most applications built on top of GRAS,
- but yet not belonging to GRAS itself. It is planned that those modules will be
- changed to real plugins one day, allowing users to load only the needed parts at
- run time. For now, they live in another library against which you should link your
- programs explicitly.
-*/
-
/** \defgroup SMPI_API SMPI
\brief Programming environment for the simulation of MPI applications
\section SMPI_who Who should use SMPI (and who shouldn't)
You should use this programming environment of the SimGrid suite if
-you want to study existing MPI applications. If you want to create a
-distributed application, you may be interested in the \ref GRAS_API
-environment instead (but note that GRAS is not very actively
-maintained nowadays). If you want to study some heuristics for a given
-problem (and if your goal is to produce theorems and publications, not
-code), have a look at the \ref MSG_API environment, or the \ref SD_API
-one if you need to use DAGs. If none of those programming environments
-fits your needs, you may consider implementing your own directly on
-top of \ref SURF_API (but you probably want to contact us before).
+you want to study existing MPI applications. If you want to study
+some heuristics for a given problem (and if your goal is to produce
+theorems and publications, not code), have a look at the \ref MSG_API
+environment, or the \ref SD_API one if you need to use DAGs. If none
+of those programming environments fits your needs, you may consider
+implementing your own directly on top of \ref SURF_API (but you
+probably want to contact us before).
\section SMPI_what What can run within SMPI?
to study algorithms and heuristics with DAGs of parallel tasks.
If you don't need to use DAGs for your simulation, have a look at the
\ref MSG_API programming environment.
- If you want to implement a real distributed application, have a look at the
- \ref GRAS_API programming environment.
If you want to study an existing MPI program, have a look at the
\ref SMPI_API one.
If none of those programming environments fits your needs, you may
