Task parallelism: Difference between revisions

Revision as of 19:56, 1 July 2024

Revision as of 16:49, 5 July 2024

Line 1:

{{More footnotes|date=May 2011}}

{{short description|Form of parallelization of computer code}}

'''Task parallelism''' (also known as '''function parallelism''' and '''control parallelism''') is a form of [[parallelization]] of [[Source code|computer code]] across multiple [[Central processing unit|processor]]s in [[parallel computing]] environments. Task parallelism focuses on distributing [[Task (computing)|tasks]]—concurrently performed by [[Process (computing)|processes]] or [[Thread (computing)|threads]]—across different processors. In contrast to [[data parallelism]] which involves running the same task on different components of data, task parallelism is distinguished by running many different tasks at the same time on the same data.<ref>{{cite news|last1=Reinders|first1=James|title=Understanding task and data parallelism {{!}} ZDNet|url=httphttps://www.zdnet.com/article/understanding-task-and-data-parallelism-3039289129/|access-date=8 May 2017|work=ZDNet|date=10 September 2007|language=en}}</ref> A common type of task parallelism is [[Pipeline (computing)|pipelining]], which consists of moving a single set of data through a series of separate tasks where each task can execute independently of the others.

==Description==