New analysis methods improve evaluation of complex engineering data
A further increase in the performance of supercomputers is expected over the next few years. So-called exascale computers will then be able to deliver more accurate simulation results. Fraunhofer SCAI is developing efficient data analysis methods for the much larger amounts of data generated in this way, which will also provide the engineer with detailed insights into the complex technical interrelationships.
Simulations on supercomputers answer important industrial questions, such as how air flows behave in air conditioning systems, on rotor blades or entire aircraft. New approaches to hardware design will make computers with a capacity of one trillion computing operations per second available. So-called exascale computers will have a computing speed a thousand times higher than previous supercomputers and can therefore cope with complex problems that are currently considered unsolvable. In addition, they will deliver more accurate results and thus more economical solutions for industrial tasks. However, exascale simulations also generate considerably larger amounts of data. This creates new challenges in data analysis.