Description: OpenHPC is a collaborative effort to create a community-driven open-source software stack for High-Performance Computing. This project aims to provide a solid and coherent foundation for implementing supercomputing systems, facilitating the integration of various tools and technologies necessary for the efficient operation of these platforms. OpenHPC includes a variety of essential components, such as operating systems, software libraries, resource management tools, and development environments, all designed to work together and optimize the performance of scientific and engineering applications. The modularity of OpenHPC allows users to customize their supercomputing environment according to their specific needs, making it an attractive option for academic institutions, research centers, and organizations requiring intensive computing capabilities. Additionally, being an open-source project, OpenHPC encourages collaboration and knowledge sharing among developers and users, contributing to innovation and continuous improvement in the field of high-performance computing.
History: OpenHPC was launched in 2015 as an initiative to unify and standardize the software used in supercomputers. Since its inception, it has evolved to include a wide range of tools and libraries, adapting to the changing needs of the high-performance computing community. Over the years, it has received contributions from various institutions and companies, allowing for its growth and continuous improvement.
Uses: OpenHPC is primarily used in research and development environments where intensive computing capabilities are required. It is commonly employed in scientific simulations, big data analysis, computational modeling, as well as in artificial intelligence and machine learning applications.
Examples: An example of OpenHPC usage is at the National Supercomputing Center in Spain, where it is used to run complex simulations across various scientific disciplines. Another case is the use of OpenHPC in universities to facilitate research in areas such as computational biology and physics.
