Preparing CFD codes for the new exascale HPC systems with the use of Machine Learning.


160 000€

Budget (blueOASIS):

80 000€

Funded by:


exaSIMPLE is a project financed by Inno4scale (European High-Performance Computing Joint Undertaking project), and it aims at preparing CFD flow solvers for the newly deployed exascale HPC systems incorporated state-of-the-art machine learning techniques in traditional SIMPLE-like flow solvers.

Inno4scale is a European initiative, which was started to support the development of innovative algorithms for exascale supercomputers, so their efficient use can be fully exploited. Currently existing codes for high-performance computing will not be able to function efficiently on upcoming exascale systems in the future. Therefore, the project will identify and support the development of applications that have the potential to fully exploit the new upcoming EuroHPC exascale systems. The most successful application will be taken up by science and industry after the project.

The objective of Inno4scale is to support the EuroHPC Joint Undertaking, whose goal it is to achieve the deployment of Exascale supercomputers in Europe. As part of the project, the development of novel algorithms for applications on upcoming European Exascale supercomputers will be efficiently exploited. Used in public administration or industry these supercomputers will be able to solve previously unaffordable computational challenges. Industry, science, as well as public administration will then be able to reduce their time-to-solution for computational simulations and approach larger problems with novel solutions.