High-performance computing (HPC) is now one of the fundamental research methods in many scientific disciplines. High-performance computers have been reaching the exaflop performance class (at least 10¹⁸ operations per second) since this year. For applications to efficiently exploit the power of exascale systems, scalability must be improved on very large and heterogeneous systems. A variety of components are required for modern high-performance computing: from processors to data storage and file systems to software and algorithms. All these components also require new technologies and adaptations to specific applications and interfaces.

The aim of the MExMeMO project is to develop a multi-scale model for the manufacturing processes of soft materials. These applications pose a major challenge for HPC, as complex processes are coupled at very different scales and the associated simulation techniques place very different demands on the hardware. The new, innovative multi-scale model, which uses a special polymer membrane as an example, includes different size and time scales so that flexible computer architectures can be realized. Furthermore, it builds on the concept of modular supercomputer architecture for exascale computing.

Using the example of a complex particle simulation, a multiscale model is developed which, in conjunction with the modular architecture, efficiently utilizes the potential of modern supercomputers. This enables significant energy savings in innovative manufacturing processes for materials and products.