Parallel Algorithm Models

The need for a parallel algorithm model arises in order to understand the strategy that is used for the partitioning of data and the ways in which these data are being processed. Therefore every model being used provides proper structuring based on two techniques. They are as follows:

1. Selection of proper partitioning and mapping techniques.

2. Proper use of strategy in order to reduce the interaction.

Parallel Computing is defined as the process of distributing a larger task into a small number of independent tasks and then solving them using multiple processing elements simultaneously. Parallel computing is more efficient than the serial approach as it requires less computation time.