\brief The core toolbox of SimGrid, containing usefull datatypes,
portability support and so on.
-
*/
/** \defgroup SURF_API SURF
platform. It is very low-level and is not intended to be used as
such but rather to serve as a basis for higher-level simulators.
We're still working on it and the structure is a little bit
- complex. So we'll document it only when we'll be completely satisfied of
- the way it is organized.
+ complex.
It is where platform models are encoded. If you need a model that is not
encoded yet, please tell me (<arnaud.legrand@imag.fr>) and we'll
\section MSG_who Who should use this (and who shouldn't)
You should use this module if you want to study some heuristics for a
- given problem you don't really want to implement. If you want to get a
- real implementation of your solution, have a look at the \ref GRAS_API
- programming environment. If you want to study an existing MPI program,
+ 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 implementation of your solution, have a look
+ at the \ref GRAS_API one. 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 GRAS_API GRAS
\ingroup SimGrid_API
\brief Realistic programming environment (Grid Reality And Simulation)
may eventually be distributed.
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.
+ 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
\ref GRAS_API environment.
If you want to study some heuristics for a given problem (and if your
goal is to produce theorems, not code), have a look at the \ref MSG_API
- environment.
+ 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).
*/
+
+
+/** \defgroup SD_API SimDag
+ \ingroup SimGrid_API
+ \brief Programming environment for DAG applications
+
+ SimDag provides some functionnalities to simulate parallel task scheduling
+ with DAGs models (Direct Acyclic Graphs).
+ The old versions of SimGrid were based on DAGs. But the DAG part (named SG)
+ was removed in SimGrid 3 because the new kernel (\ref SURF_API) was implemented. \ref SURF_API
+ was much faster and more flexible than SG and did not use DAGs.
+ SimDag is a new implementation of DAGs handling and it is built on top of \ref SURF_API.
+
+ \section SD_who Who should use this (and who shouldn't)
+
+ You should use this programming environment of the SimGrid suite if you want
+ 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
+ consider implementing your own directly on top of \ref SURF_API (but you
+ probably want to contact us before).
+
+*/
