Auflistung nach Schlagwort "HPC"
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- ZeitschriftenartikelEfficient Model Points Selection in Insurance by Parallel Global Optimization Using Multi CPU and Multi GPU(Business & Information Systems Engineering: Vol. 62, No. 1, 2020) Ferreiro-Ferreiro, Ana Maria; GarcÌa-RodrÌguez, JosÈ Antonio; Souto, Luis A.; V·°zquez, CarlosIn the insurance sector, Asset Liability Management refers to the joint management of the assets and liabilities of a company. The liabilities mainly consist of the policies portfolios of the insurance company, which usually contain a large amount of policies. In the article, the authors mainly develop a highly efficient automatic generation of model points portfolios to represent much larger real policies portfolios. The obtained model points portfolio must retain the market risk properties of the initial portfolio. For this purpose, the authors propose a risk measure that incorporates the uncertain evolution of interest rates to the portfolios of life insurance policies, following Ferri (Optimal model points portfolio in life, 2019, arXiv:1808.00866 ). This problem can be formulated as a minimization problem that has to be solved using global numerical optimization algorithms. The cost functional measures an appropriate distance between the original and the model point portfolios. In order to solve this problem in a reasonable computing time, sequential implementations become prohibitive, so that the authors speed up the computations by developing a high performance computing framework that uses hybrid architectures, which consist of multi CPUs together with accelerators (multi GPUs). Thus, in graphic processor units (GPUs) the evaluation of the cost function is parallelized, which requires a Monte Carlo method. For the optimization problem, the authors compare a metaheuristic stochastic differential evolution algorithm with a multi path variant of hybrid global optimization Basin Hopping algorithms, which combines Simulated Annealing with gradient local searchers (Ferreiro et al. in Appl Math Comput 356:282-298, 2019a). Both global optimizers are parallelized in a multi CPU together with a multi GPU setting.
- Conference paperEnhancing Parallel Programming Education with High-Performance Clusters Utilizing Performance Analysis(Proceedings of DELFI 2024, 2024) Roth, Anna-Lena; James, David; Kuhn, Michael; Konert, JohannesThe use of high-performance clusters in parallel programming education is not trivial. Not only working on a cluster can be a challenge. Using clusters requires the development of complex parallel programs that are executed with many processes. This increases the necessity for performance analysis to determine bottlenecks, identify optimization opportunities, and evaluate scalability. For learners, performance analysis is a crucial aspect of understanding parallel programs and systems. However, due to its complexity and the prior knowledge required, learners are often overwhelmed by the analysis and interpretation of performance metrics. We conducted a usability test to identify barriers and issues of using a high-performance cluster in parallel programming education in conjunction with professional performance analysis using the tools Score-P, Scalasca, and Cube. At the same time, we tested EduMPI, a novel learning support tool that simplifies the process of executing parallel programs and automates performance analysis at runtime.
- KonferenzbeitragGeographic Grid-Computing and HPC empowering Dynamical Visualisation for Geoscientific Information Systems(Grid service engineering and management – the 4th international conference on grid service engineering and management – GSEM 2007, 2007) Rückemann, Claus-PeterThis paper gives an overview of the potential of the cur- rent implementation of portable components for Geoscientific Information Systems (GIS) within the GISIG actmap-project. The computing problems addressed are multifold and for the first time presented here: With Active Source having extended the framework for conventional GIS, new features have been enabled like the use of Grid Computing and clus- ter resources, dynamical visualisation, and High Performance Computing (HPC) in order to be used for Geographic Grid Computing. Base of scientific content can for example be geophysical information like environmental or seismological data, geographical and spatial information using Geographic Data Infrastructures (GDI), as well as data from industrial, economic, cultural, and social sources. An integrated solution for moni- toring, accounting, billing supporting the geo-information market can be incorporated into this context. An outlook is given for Geographic Grid Computing e.g. for the extended use of Web Services and GDI in the future.
- TextdokumentNachhaltigkeit und Abwärmenutzung an HPC-Zentren(INFORMATIK 2021, 2021) Conrad, Norbert; Resch, MichaelManagementsysteme helfen Rechenzentren, Ziele wie die Minimierung von Umweltauswirkungen zu erreichen. Abwärmenutzung trägt dabei wesentlich zur V Verbesserung der Ökobilanz von Rechenzentren bei.
- TextdokumentVSC-3 – a summary of the experiences with an HPC system immersed in oil(INFORMATIK 2021, 2021) Zabloudil, Jan; Haunschmid, ErnstThe electric energy consumed by computer systems is fully converted into heat, which needs to be removed from the system. As the internal temperature of processor chips is typically 80°C in operation and the temperature of the outside air hardly exceeds 45°C, a physicist would not easily understand, why heat pumps, consuming extra energy, are needed to remove heat to the outside. Traditional computer centers nevertheless consume copious amounts of extra electric energy to operate heat pumps. Consequently, various options for the efficient cooling of computers have been considered for several decades. Immersion cooling is an intriguingly simple option. You just find the right fluid and submerge the whole system in it. Then you only cool the fluid, which should be simple. There are, however, challenges to be met, which will be discussed. After several years of experiments with a small system, VSC-3 was procured as a full-scale immersion cooled system. Already at installation, several issues needed to be addressed, mostly concerning the compatibility of various submerged components with the fluid. Nevertheless, with some adaptions, the system got up and running. Due to the very simple hardware surrounding the nodes, the system had a very good price/performance ratio and, from a point of view of energy efficiency, the whole installation surpassed the expectations with an average PoE of 1.03. Additionally, roughly 10% of the energy consumption of a conventional system were saved by the absence of cooling fans. There were, however, serious downsides. First and foremost, the maintenance of VSC-3 was challenging to say the least. While compute nodes had hardly any problem, many other components suffered from the prolonged contact with hot fluid. Cables became stiff and some wicked oil outside the containers. Legions of InfiniBand switches failed for reasons, that will probably never be fully understood. Also, the containers and the oil installation were prototypes, leading to leakage. Ultimately, the question of the future of immersion cooled systems remains. Let’s assume, engineering problems can be solved without destroying the economic appeal of immersion cooling. The energy efficiency aspect will become more important in a greener future. The main problem, which remains to be solved, is the compatibility of computing components with the immersion fluid. Looking at VSC-3 as our main system for several years, we must however say, it served us very well. During it’s 6.5 years it delivered more than 1.25 billion core-hours to more than 700 projects.