The corresponding concepts that MPI provides, specifically to support robust libraries, are as follows:
Caching. Communicators (see below) provide a ``caching'' mechanism that allows one to associate new attributes with communicators, on a par with MPI built-in features. This can be used by advanced users to adorn communicators further, and by MPI to implement some communicator functions. For example, the virtual-topology functions described in Chapter Process Topologies are likely to be supported this way.
Groups. Groups define an ordered collection of processes, each with a rank, and it is this group that defines the low-level names for inter-process communication (ranks are used for sending and receiving). Thus, groups define a scope for process names in point-to-point communication. In addition, groups define the scope of collective operations. Groups may be manipulated separately from communicators in MPI, but only communicators can be used in communication operations.
Intra-communicators. The most commonly used means for message passing in MPI is via intra-communicators. Intra-communicators contain an instance of a group, contexts of communication for both point-to-point and collective communication, and the ability to include virtual topology and other attributes. These features work as follows:
The practice in many communication libraries is that there is
a unique, predefined communication universe that includes all
processes available when the parallel program is initiated; the processes are
assigned consecutive ranks. Participants in a point-to-point
communication are identified by their rank; a collective communication
(such as broadcast) always involves all processes. This practice can be
followed in MPI by using the predefined communicator
MPI_COMM_WORLD. Users who are satisfied with this practice
can plug in MPI_COMM_WORLD wherever a communicator argument
is required, and can consequently disregard the rest of this chapter.
( End of advice to users.)
Inter-communicators. The discussion has dealt so far with intra-communication: communication
within a group. MPI also supports inter-communication: communication
between two non-overlapping groups. When an application is built by composing
several parallel modules, it is convenient to allow one module to communicate
with another using local ranks for addressing within the second module. This
is especially convenient in a client-server computing paradigm, where either
client or server are parallel. The support of inter-communication
also provides a mechanism for the extension of MPI to a dynamic model where
not all processes are preallocated at initialization time. In such a
situation, it becomes necessary to support communication across ``universes.''
Inter-communication is supported by objects called inter-communicators.
These objects bind two groups together with communication contexts shared by
both groups.
For inter-communicators, these features work as follows:
MPI provides mechanisms for creating and manipulating inter-communicators.
They are used for point-to-point
and collective
communication in an related manner to
intra-communicators. Users who do not need inter-communication
in their applications can safely ignore this extension.
Users
who require inter-communication between overlapping groups
must layer
this capability on top of MPI.
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