Global climate change, brain research or the prediction of solar radiation, air pollution or forest fire–the challenges for science, technology, industry, and public service show rising complexity. It is necessary to provide decision makers with tools that allow long-term risk analysis, improvements or even optimization and control.
Thus, solution processes require a holistic approach. Mathematical modelling, simulation and optimization (MSO) algorithms and computational techniques are increasingly used in these fields. They are based on big data and require both, cloud computing and HPC.
To combine these two approaches and to ensure fast prototyping as well as good scalability of the resulting codes belongs to the key challenges of project MSO4SC. Its mission is to design, build, test and deliver an e-infrastructure for hosting, developing and provisioning on demand, high performance math-supported software packages and end-user applications, based on HPC and cloud computing.