MPI's Support for Libraries

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The corresponding concepts that MPI provides, specifically to support robust libraries, are as follows:

Communicators (see [(ref communicator),(ref zipcode1),(ref Skj93b)]) encapsulate all of these ideas in order to provide the appropriate scope for all communication operations in MPI. Communicators are divided into two kinds: intra-communicators for operations within a single group of processes, and inter-communicators, for point-to-point communication between two groups of processes.

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:

[] Advice to users.

The current 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 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 need collective operations via inter-communicators must layer it on top of MPI. Users who require inter-communication between overlapping groups must also layer this capability on top of MPI.

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