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#!CNavyBlue #!N #!Rall271 Parallelism using Distributed Processing #!N
#!EC #!N #!N Data Explorer provides the capability of distributing the
execution of a visual program or a program generated using the
scripting language over multiple workstations on a network. Distributing the execution
provides parallelism and enhanced resource utilization. Parallelism is achieved by the
simultaneous execution of different portions of the visualization on each of
the workstations. Enhanced resource utilization can be achieved, for example, by
assigning computationally intensive portions of the visualization to the more powerful
workstations, or transformation and realization functions that are applied to data
located remotely can be distributed to the remote workstations, reducing the
amount of data transfer. #!N #!N Distributed processing is achieved in
two ways: using "outboard" modules or placing groups of tools into
"execution groups." These two methods can be used independently or in
combination. An outboard module is a user-written module controlled by the
Data Explorer executive but is external to the Data Explorer server
program. They can be invoked from either a visual program or
a script program. Execution groups are a set of tools that
can be assigned to a workstation. Once groups are created, they
can be assigned to the workstations over which the visualization is
to be distributed. More than one group can be assigned to
each workstation. (See also #!Ldistcmp,dxall484 h Using Distributed Computation #!EL .) #!N #!N #!N #!F-adobe-times-medium-i-normal--18* Next
Topic #!EF #!N #!N #!Lall272,dxall273 h Parallelism for Data Explorer SMP #!EL #!N #!F-adobe-times-medium-i-normal--18* #!N
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