Short Essay On Parallel Processing

Parallel processing is the concurrent use of multiple processor cores to run a program or multiple computational threads. Parallel processing executes program at a faster rate as there are more processors running a program hence it results in higher throughput. The need for fast computation have been in a number of contexts involving Partial Differential equations, such as computational fluid dynamics, weather prediction, image processing etc. such applications involve large number of numerical computations.

Parallel processing is a form of data processing in which many calculations are carried out in parallel, where larger programs can be divided into smaller ones and then solved concurrently. Parallelism is used from many years for high- performance computing, but interest in it has grown due to the physical constraints preventing frequency scaling. As the interest on power consumption by computers is increasing in recent years, parallel computing is one of the dominant paradigms in computer architecture, primarily in the form of multiple core processors parallel machines.

Sequential processing is running a single task to completion on a single processor. The computation in sequential computing is represented by uniform stream of

A problem is split into different parts that can be solved concurrently. There are different forms of parallel computing: bit-level, instruction level, data and task parallelism. In principle, any program expressed as a parallel composition can be converted to a sequential composition that interleaves the execution of the various program components appropriately. The use of parallel composition can enhance scalability and locality. For example, if two program components can execute concurrently then mapping them to disjoint sets of processors increases scalability by providing additional opportunities for parallel