Archive of Past Projects and Collaborations
Hits 1 - 8 from 8 Results
Bull Deutschland GmbH
Bull Germany and the IT Center have joined forces to optimize HPC standard applications, such as OpenFOAM, for hybrid cluster architectures. Furthermore, the collaboration seeks to investigate methods and approaches to make high-performance computers more energy-efficient. In this context, the researchers focus on methods such as the application-dependent control of the CPU frequency, but also optimizations on the level of applications. more
The intensification of agriculture causes a high loss of species-rich grasslands. In Central Europe, these semi-natural grasslands belong to the landscapes with the highest biodiversity. Only a well-directed management will maintain these valuable areas. The GraS-Model (Grassland-Succession-Model) was developed as decision support system for the grassland areas of the Eifel National Park. This dynamic, process based, spatially-explicit (raster-based) simulation model predicts the development of grassland areas over 100 years.
A highly detailed spatial resolution is necessary to ensure a realistic simulation, as even small landscape elements are often crucial for the development. Due to its high complexity and the large-scale landscape modeled, the GraS-Model already exceeds the available computer main memory when applied to the Eifel National Park. The Parallelization of the model allows running simulations on a cluster. This high-performance-computing is essential to ensure realistic simulations with a high predictive power, thus allowing the application and refinement of the GraS-Model as decision support system for the landscape management. more.
Parallelization of microstructure simulations based on the phase-field method
The continuous simulation of process chains on a macroscopic and microscopic scale enables the optimization of production processes for the manufacture of metallic components and the fast adaptation of processes to changing framework conditions. The interdisciplinary cooperation of the research center Access e.V., the Jülich Supercomputing Centre (JSC) and the IT Center of RWTH Aachen University in the framework of the Excellence Cluster "Integrative Production Technology for High-Wage Countries" aims at reducing the time that is needed to simulate the microscopic structure within a process chain based on the phase-field method. For this purpose, the software MICRESS®, developed by Access e.V., is parallelized for shared-memory systems by employing the OpenMP programming paradigm. We attach particular importance to the acceleration of the used numerical solvers for partial differential equations and to the handling of dynamic data structures for the description of moving boundary surfaces. more
Performance dynamics of massively parallel codes
The time-dependent behavior of parallel simulation codes -- in particular when adaptive algorithms are employed -- is often irregular, making the understanding of performance dynamics an essential prerequisite for program optimization. While existing performance analysis tools typically provide detailed information along spatial dimensions like processes and nodes, performance dynamics has so far been a neglected aspect.
To support developers of parallel simulation codes with optimizing their codes, the LMAC project aims to extend the established performance analysis tools Vampir, Scalasca and Periscope with new functionality to automatically examine performance dynamics. In addition, the University of Oregon, associated partner, complements the project with corresponding extensions to the performance tool TAU. more
Scalable Infrastructure for the Automated Performance Analysis of Parallel Codes
SILC - Scalable Infrastructure for the Automated Performance Analysis Nowadays applications in the field of high performance computing have to utilize hundreds or thousands of compute cores to make efficient use of modern compute architectures. A variety of performance analysis tools can be used to assist programmers in the process of application tuning to utilize the cores in a good way. These different analysis tools all collect performance data which is then analyzed and presented to the programmer in a different way. For a programmer this means that similar data is collected with different tools using different options. Within the SILC project a uniform measurement infrastructure (Score-P) was developed to support multiple different performance tools. This eliminates the need to measure performance data several times with different tools, but it still allows using all different analysis tools to interpret the data. Tools which can use the data generated by Score-P are Vampir , Scalasca, Periscope and TAU.
Partners of the SILC project, which was funded by the German Ministry for Education and Research (BMBF), are the RWTH Aachen University, TU Dresden, TU Munich, GNS Gesellschaft für numerische Simmulation mbH, Forschungszentrum Jülich and the associated partners University of Oregon and German Research School for Simulation Science. more
Towards Accurate Simulation of the Microstructure in Injection Moulding Processes on Tomorrow’s Supercomputers
The mechanical behavior of semi-crystalline thermoplastic parts is greatly influenced by the microstructure. Therefore the accurate prediction of microstructure is important for part design. Today, simulation programs like the microstructure simulation software SphäroSim which has been developed at the RWTH Institute of Plastics Processing (IKV) restrict the simulation to small areas of the part. In order to develop algorithms that can predict finer structures and to simulate the microstructure in an entire injection moulded part, it is necessary to make use of the compute power from supercomputers.
In this project that was carried out in the period of May 2012 to April 2013, the software
SphäroSim was parallelized with the Message Passing Interface (MPI) and an additional multithreading layer in order to leverage the compute power of a compute cluster for the first time. As Intel’s Xeon Phi architecture was promising
with respect to further performance gain, the parallel application was further ported to this Many Integrated Core (MIC) processor. Overall, this project enables the improvement in scaling from original few threads of a desktop computer to over 1000 cores of today’s supercomputers. This allows calculating almost the entire morphology of complex parts.
Windows High Performance Cluster Competence Center
RWTH Aachen University has entered into a cooperation treaty with Microsoft with the intention of developing here in the IT Center the application of Windows operating system in the range of High Performance Computing (HPC). Engineering should be supported by the use of a highly productive infrastructure under Windows HPC server 2008, as well as by the know-how under OpenMP or with MPI. Microsoft has established the IT Center of the RWTH Aachen University as a european Cluster Competence Center with the focus on Windows High Performance Server 2008. The achieved results should be opened to the public.