Explicit parallelism: Difference between revisions

Revision as of 21:45, 1 September 2006

Revision as of 21:34, 13 September 2006

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of concurrent computations by means of primitives

in the form of special-purpose directives or function calls. Most parallel primitives are related to process sinchronization, communication or task partitioning. As they seldom contribute to actually carry out the

intendend computation of the program, their computational cost is often contabilizedcondsidered

as [[parallelization overhead]].

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very efficient code. However, programming with explicit parallelism is often difficult, especially for

non computing specialists, because of the extra work involved in planning

the task division and sinchronizationsynchronization of concurrent processes.

In some instances, explicit parallelism may be avoided with the use of an optimizing compiler that automatically extracts the parallelism inherent to computations (see [[implicit parallelism]]).