parallel processing, the concurrent or simultaneous execution of two or more parts of a single computer program, at speeds far exceeding those of a conventional computer. Parallel processing requires two or more interconnected processors, each of which executes a portion of the task; some supercomputer parallel-processing systems have hundreds of thousands of microprocessors. The processors access data through shared memory. The efficiency of parallel processing is dependent upon the development of programming languages that optimize the division of the tasks among the processors.

Parallel processing is also another term for parallel computing.

Parallel processing is the ability of the brain to simultaneously process incoming stimuli. This becomes most important in vision, as the brain divides what it sees into four components: color, motion, form, and depth. These are individually analysed and then compared to stored memories, which helps the brain identify what you are viewing. The brain then combines all of these into one image that you see and comprehend. This is a continual and seamless operation.

The advantage of parallel processing is that it allows the brain to simultaneously identify different stimuli and allow for quick and decisive action.

This is one of the reasons that the human brain is much more powerful than the computer. While a computer is a million times faster than a human's neural network, it is the fact that we have a large number of processors compared to computers. As Donald Hoffman said (1998, p.xiii) "You can buy a chess machine that beats a master but can't yet buy a vision machine that beats a toddler's vision." The technology known as computer vision, however, allows computers to recognize objects visually.

Parallel Processing in Computers

The simultaneous use of more than one CPU to execute a program. Ideally, parallel processing makes a program run faster because there are more engines (CPUs) running it. In practice, it is often difficult to divide a program in such a way that separate CPUs can execute different portions without interfering with each other. Most computers have just one CPU, but some models have several. There are even computers with thousands of CPUs. With single-CPU computers, it is possible to perform parallel processing by connecting the computers in a network. However, this type of parallel processing requires very sophisticated software called distributed processing software.

Note that parallel processing differs from multitasking, in which a CPU provides the illusion of simultaneously executing instructions from multiple different programs by rapidly switching between them, or "interleaving" their instructions.

Parallel processing is also called parallel computing.In the quest of cheaper computing alternatives parallel processing provides a viable option.The idle time of processor cycles across network can be used effectively by sophisticated distributed computing software.

References

• Myers, David G. Psychology. 6th ed. New York: Worth, 2001.
• Parallel Processing via MPI & OpenMP, M. Firuziaan, O. Nommensen. Linux Enterprise, 10/2002
• www.webopedia.com (HBTB)