Review of Architecture and Model for Parallel Programming

Abstract

Parallel programming has become a critical aspect of modern computer systems and applications. With the increasing demand for faster and more efficient computing, it is essential to have multiple parallel architectures and parallel models to choose from. Different parallel architectures, like SISD and MIMD, perform differently and offer different benefits. It is essential to have an understanding of these architectures to select the appropriate one for the specific application being developed. Similarly, different parallel models such as OpenMP allow developers to write parallel programs using high-level constructs. By leveraging these models, developers can focus on the algorithmic aspects of the program rather than giving attention to low-level details. In conclusion, understanding the different parallel architectures and parallel models available is necessary to develop efficient parallel programs and improve the performance of modern computer systems.