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A Bridge for Exchanging Data within and between Parallel Applications,
NPACI enVision, Volume 15, Number 1, January - March 1999.
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Parallel Program Interoperability
We are currently developing techniques that will allow parallel compute and data
objects to offer their services to near and remote clients. Our goal is to
develop techniques that will allow users to compose programs running on any
combination of distributed memory, shared memory or networked microcomputers or
workstations. This research is motivated by two important classes of
applications -- sensor data processing and integration, and complex physical
simulations. An important early result of this work is the development of
runtime support (Meta-Chaos) which allows communication between diverse runtime
libraries. The ability to use multiple libraries is needed in several
application areas, such as multidisciplinary complex physical simulations and
remote-sensing applications. In these scenarios, an application can consist of a
single program or multiple programs that use a variety of runtime libraries for
partitioning the data-sets and/or inter-process communication.
Another important part is the control language which specifies the range and
frequency of information exchange between programs being coupled. It uses a set
of mappings between data regions belonging to different programs -- each mapping
identifies the regions of interest and the frequency at which they are to be
kept consistent. Our implementation allows the mappings to specified either at
initialization time or later during actual execution of the program. We used
early prototypes of these systems to demonstrate the ability to couple High
Performance Fortran applications with other HPF applications as well as with
applications developed using the Maryland CHAOS and Multiblock Parti libraries.
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