Projects

To develop hardware such as microprocessors, field-programmable gate arrays (FPGAs) are typically used. However, optimizing the interconnection of these logic devices is itself a difficult problem for Turing machines (the so-called Quadratic Assignment Problem or QAP). Quantum or quantum-inspired hardware seems to be a better way to solve this problem. The approach in the QuantumQAP project is to combine quantum hardware and theoretical solution approaches that are applied in the two application fields of FPGA interconnection and post-quantum cryptography.

The "Artificial Intelligence Learning Lab" is being set up at the Fraunhofer Institute Center Schloss Birlinghoven in Sankt Augustin. It supports small and medium-sized enterprises (SMEs) in particular in getting started in artificial intelligence (AI), learning about concrete applications, and qualifying employees.

The dynamic optimization of logistics and production processes in real time is at the top of the wish list of many small and large companies in order to gain a significant reduction of costs while improving machine utilization, workload distribution and product delivery times. Using the example of a fictitious warehouse, it can be shown which optimization measures interlock with each other and how complex processes become manageable even for small companies.

The project "OpenMP for Reconfigurable Heterogeneous Architectures" (ORKA-HPC) aims to support the use of field programmable gate arrays (FPGAs) in heterogeneous HPC architectures. The parallel programming interface for the productive use of the FPGAs will be OpenMP. FPGAs are reconfigurable and allow very efficient implementation of algorithms; but their programming is currently very time-consuming. The developments in ORKA-HPC will significantly reduce the porting effort on FPGAs.

In the RoKoRa project, the aim is to exclude hazards of humans by robots. For this purpose, compact radar systems are used. They offer many advantages: radars operate independently of any lighting and are largely insensitive to environmental conditions. In addition, radar sensors can measure not only the distance to the sensor, but also the motion vector of the detected targets. The sensor system to be developed significantly improves personnel safety in human-robot collaboration, resulting in new degrees of freedom for a safe cooperation with larger robots and at higher distance-dependent execution speeds. In the project, SCAI develops a software component for environmental perception for situational analysis and decision-making using methods of machine learning.

Aim of the project WAVE funded by the BMBF is the development and implementation of new approaches for the reverse time migration method.

The project FAST (Find a Suitable Topology for exascale Applications) funded by the BMBF will improve the initial job distribution of a scheduler and the re-scheduling on the basis of key performance indicators.

The project MACH funded by the BMBF deals with the research for and development of concepts for the application of DSLs for the improvement of development and maintainability of computationally intensive algorithms on a multitude of hardware sytems.

Extensible Simulation Package for Research on Soft Matter

The project GASPI (Global Address Space Programming Interface) addresses a challenge­ in the software industry, known as the “Multicore Challenge”. The aim of the project is to stimulate the development­ of new programming models and programming­ languages that lead to new ways for mathematical modeling, algorithm­s, and their implementation­ in software.