The Impact of MPI on High-Performance Parallel Computing

Title: The Impact of MPI on High-Performance Parallel Computing

Abstract: This research study investigates the significance of MPI (Message Passing Interface) in high-performance parallel computing. MPI is a widely used programming model that allows separate processes to communicate and work together on parallel computers. The study explores the key factors that contributed to MPI's success, despite initial criticisms about its complexity and performance issues. The research highlights the importance of portability and performance in a parallel programming model, and how MPI addresses these requirements. The findings suggest that MPI's success can be attributed to its ability to address all the essential properties of a parallel programming model, making it a popular choice for high-performance parallel computing.

Main Research Question: What factors contributed to the success of MPI in high-performance parallel computing?

Methodology: The study conducted a literature review and analysis of the research articles related to MPI and high-performance parallel computing. The research focused on understanding the criticisms and challenges faced by MPI, and how it overcame these obstacles to achieve widespread adoption.

Results: The research found that MPI's success can be attributed to its ability to address the six necessary properties of a parallel programming model. These properties include portability, performance, and the ability to handle complex communication patterns and large message sizes. The study also found that MPI's design allows for the use of performance-enhancing features without compromising portability, which further contributed to its success.

Implications: The research suggests that the success of MPI in high-performance parallel computing can serve as a model for other parallel programming models. The study highlights the importance of addressing the key requirements of a parallel programming model, such as portability and performance, to ensure widespread adoption and success. The findings also emphasize the importance of designing programming models that can adapt to different hardware capabilities and operating systems, while still maintaining performance.

Conclusion: In conclusion, the research study found that the success of MPI in high-performance parallel computing can be attributed to its ability to address the necessary properties of a parallel programming model. The study suggests that MPI's design and features can serve as a model for other programming models, and that the key to success lies in addressing portability and performance requirements.

Link to Article: https://arxiv.org/abs/0109017v1 Authors: arXiv ID: 0109017v1