Parallel processing relies on several different computers hooked up so that each one actually only does a part of the processing (the math) so several different techniques or stages of development get done at the same time (close enuff) hence the name Parallel computers, they run in parallel, at the same time. 10 computers for one hour of computer processing then only takes one tenth of the time or 6 minutes.
It may also be a single computer using number of processors undertaking similar processing simultaneously to complete the task in limited time. For example a radar tracker has one set of estimated or calculated parameters or fore casted parameters of expected target, other set of parameters is directly recorded from the target , advance correction is to be given for estimating next parameters hence parallel processing is vital to reduce the time of processing. Second example is getting hold of terrorists or criminals by using quick parallel processing using facilities like database banking ticketing reservations security entry records property and other such records of the gang . This may be a proposed solution requiring more research.
The programs have to be developed that way, to use the libraries supporting parallel processing. It isn't automatic.
Parallel processing allows the computer to process 2 things at once. However on it's own it doesn't help, computer programs have to be written to use it. Many operating systems are written to take advantage of parallel processing between seperate processes, and some programs are setup to use parallel processing withing their own process.
Parallelism or Parallel processing
What good did Parallel processing do to Computer Science and Business What good did Parallel processing do to Computer Science and Business?
Parallel Processing Letters was created in 1991.
The ad-hoc parallel data processing is data are formed,arranged or done dynamic or parallel processing for a particular purpose only is called in a ad-hoc parallel data processing.
Wherever it is needed for rapid data processing and programmers have coded correctly to use this feature of processors.
James L. McClelland has written: 'Explorations in parallel distributed processing' -- subject(s): Distributed processing, Electronic computers, Electronic data processing, Parallel processing, Parallel processing (Electronic computers)
To get processing done faster.
Parallel processing
Dale J. Arpasi has written: 'Automating the multiprocessing environment' -- subject(s): Parallel processing (Electronic computers) 'Parallel processing of a rotating shaft simulation' -- subject(s): Rotating shafts, Computerized simulation, Parallel processing (Computers) 'Partitioning and packing mathematical simulation models for calculation on parallel computers' -- subject(s): Computation, Computerized simulation, Parallel processing (Computers), Parallel processing (Electronic computers)
Parallel processing