Difference between revisions of "Parallel computing"

Latest revision as of 19:31, 25 April 2016

Parallel computing is a form of computation in which many calculations are carried out simultaneously, operating on the principle that large problems can often be divided into smaller ones, which are then solved at the same time.

Description

There are several different forms of parallel computing:

• Bit-level
• Instruction level
• Data
• Task parallelism

Parallelism has been employed for many years, mainly in high-performance computing, but interest in it has grown lately due to the physical constraints preventing frequency scaling. As power consumption (and consequently heat generation) by computers has become a concern in recent years, parallel computing has become the dominant paradigm in computer architecture, mainly in the form of multi-core processors.

Concurrent computing

Parallel computing is closely related to concurrent computing.

They are frequently used together, and often conflated, though the two are distinct: it is possible to have parallelism without concurrency (such as bit-level parallelism), and concurrency without parallelism (such as multitasking by time-sharing on a single-core CPU).

• In parallel computing, a computational task is typically broken down in several, often many, very similar subtasks that can be processed independently and whose results are combined afterwards, upon completion.

• In concurrent computing, the various processes often do not address related tasks; when they do, as is typical in distributed computing, the separate tasks may have a varied nature and often require some inter-process communication during execution.

See also

• Calculation
• Computation
• Computational complexity theory
• Computing
• Concurrent computing
• Grid computing
• Programming paradigm

External links

• Parallel computing @ Wikipedia