A computing strategy well known among geeks and gurus is about to burst into mainstream consumer electronics, as teams of researchers work to improve speed and efficiency with what is known as parallel computing.

Parallel computing involves breaking a large complex problem or task into smaller discrete components, using multiple computers or processors to address those separate components simultaneously (or "in parallel"), then assembling those disparate results back into unified a solution or outcome, instead of using a single processor to complete each task one after another--thereby allowing computers to work faster and more efficiently.  Ideally, parallel computing makes processing faster, because more "engines" are working at the same time.



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