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The hybrid models are mostly tailormade models suiting to exact applications. Actually these fall in the category of mixed models. Such type of application-oriented models keep cropping up. Other parallel programming models also to be, and will carry on evolving corresponding to new applications.
In these types of models, any two or more parallel programming models are combined. Presently, a common example of a hybrid model is the combination of the message passing model (MPI) with either the shared memory model (OpenMP) or the threads model (POSIX threads). This hybrid model lends itself well to the increasingly common hardware environment of networked SMP machines.
One more common example of a hybrid model is combining data parallel model with message passing model. As mentioned previously in the data parallel model, data parallel executions (F90, HPF) on distributed memory architectures actually use message passing to transfer data transparently among tasks and the programmer.
Necessary features of an algorithm: 1.Input: The algorithm should take zero or more input. 2. Output: The algorithm should generate one or more outputs. 3. Definiteness:
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