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Prof. Moritz Fleischmann10/23/23, 9:45 AM
We welcome you to the University of Mannheim for the 9th bwHPC-Symposium!
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Dr Raphael Dorn10/23/23, 9:50 AM
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Heiner Stuckenschmidt (University of Mannheim)10/23/23, 10:00 AM
In recent years, users have been asking more and more for support with large-scale machine learning applications leading to a focus on memory and GPU computation. In this talk I argue that the next big thing will be the combination of machine learning and simulation and discuss a number of applications based on this combination and the computational challenges that result from this combination.
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Dr Dörte Sternel (NHR-Verein)10/23/23, 10:30 AMTalk
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Franziska Fritzsche (Gesis - Leibniz-Institute for Social Sciences)10/23/23, 10:45 AMTalk
Today, research data is often stored in many different places, difficult to find and only available for a limited time. Base4NFDI as a joint initiative of all consortia of the German National Research Data Infrastructure (NFDI) aims to create the basis for better findability, accessibility, interoperability and reusability of research data. For this purpose, common, technical services are...
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Robert Barthel (KIT - Steinbuch Centre for Computing)10/23/23, 11:00 AMTalk
The presentation outlines the current status of the user support project bwHPC-S5 for HPC, DIC and LS2DM in the state of Baden-Württemberg, Germany.
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The state-wide project bwHPC-S5 provides federated support for the bwHPC users and coordinates all associated provisions, including development of policies and services. As the connecting body between scientists and HPC systems, bwHPC-S5 has... -
Niklas Baumgarten10/23/23, 11:30 AM
We present a novel variant of the multi-level Monte Carlo method that effectively
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utilizes a reserved computational budget on a high-performance computing system to minimize the
mean squared error. Our approach combines concepts of the continuation multi-level Monte Carlo
method with dynamic programming techniques following Bellman’s optimality principle, and a new
parallelization strategy... -
Dr Feichi Zhang (KIT/ITC)10/23/23, 11:45 AM
Recycling of waste represents one of the major goals to close the carbon cycle and to achieve circular economy concepts. The thermal conversion of plastic waste via pyrolysis to base chemicals for the production of new plastics represents one of the key technologies.
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The talk provides an overview of fundamental research carried out at the Institute for Technical Chemistry (ITC) at KIT, with... -
10/23/23, 12:00 PM
In this work, we investigate the phenomenon of neutron star collapse into a black hole within the framework of modified theories of gravity, exploring the consequences of departures from General Relativity (GR), specifically, under massive scalar-tensor theories that allow for scalarization in order to understand the effect of these modifications in the astrophysical process. To accomplish...
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10/23/23, 12:00 PM
Application Binary Interface (ABI) compliance is important for libraries to adhere to. Open MPI, being used by many applications and using several vendor libraries itself, is an important library by itself.
This poster provides methods to check for ABI compliance in new installations and best practices for library developers to make sure that they adhere to their user's expected interface --...
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10/23/23, 12:00 PM
The hippocampus is considered to be involved in spatial navigation and memory formation; it hosts cells with high firing rates at a given location – place cells (PCs), which allow the construction of the hippocampal cognitive map of space. However, it is not understood how memories are related to the hippocampal place fields. On the one hand, the stability of its neural code may support...
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10/23/23, 12:00 PM
Agent-Based Models (ABMs) allow researchers to describe complex cellular systems in a mechanistic manner but can also abstract over less-known processes.
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It is often desirable to exchange only parts of the model eg. changing the spatial representation of cells from a spherical interaction potential to an elliptical.
Existing tools lack in flexibility and cannot change their internal... -
10/23/23, 12:00 PM
Modern experimental techniques and medical examination methods generate vast amounts of data that must be protected carefully according to the GDPR. At the same time, handling of such data, e.g., human DNA sequences, MRI images, or EEG traces is necessary for medical research and personalized medicine. Especially when performing statistical analyses on many datasets, the amount of data is too...
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10/23/23, 12:00 PM
Gaia-X is an initiative that develops, based on European values, a digital governance that can be applied to any existing cloud/ edge technology stack to obtain transparency, controllability, portability and interoperability across data and services. In this poster, we will present the intermediate results from our ongoing BMWk funded Gaia-X4AI project (https://gaia-x4ki.eu/), developing...
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Prof. Lars Pastewka (University of Freiburg)10/23/23, 1:00 PMNeuroscience, Elementary Particle Physics, Micro Systems Engineering, and Materials ScienceTalk
Friction and lubrication are inherent multiscale problems, particularly when the gap between contacting bodies is on the order of molecular interaction length scales, such as in the boundary lubrication regime. Modelling lubrication across scales beyond purely sequential approaches has so far remained elusive. In this talk, I will present a reformulation of the classical lubrication equations...
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Nikita Schmal (Heidelberg University)10/23/23, 1:15 PMNeuroscience, Elementary Particle Physics, Micro Systems Engineering, and Materials ScienceTalk
The vast amount of data produced at the Large Hadron Collider (LHC), the largest particle collider in the world, is used to study the most fundamental building blocks of nature. Global analyses using LHC data provide ways to constrain signs of new physics within these measurements. In this talk, we present an overview of the uses of the NEMO cluster in these analyses, utilizing its strength to...
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Nils Faltermann10/23/23, 1:30 PMNeuroscience, Elementary Particle Physics, Micro Systems Engineering, and Materials ScienceTalk
The Large Hadron Collider (LHC), located at CERN in Geneva, stands as one of the most monumental scientific experiments in human history. This remarkable machine facilitates approximately 40 million particle collisions every second, generating an astronomical amount of data. Even with rigorous filtering of collision events, the data retained for subsequent analysis remains staggering in...
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Dr Benjamin Rottler (Albert-Ludwigs-Universität Freiburg)10/23/23, 1:45 PMNeuroscience, Elementary Particle Physics, Micro Systems Engineering, and Materials ScienceTalk
For several years, we have been dynamically and opportunistically integrating the computing resources of the HPC cluster NEMO into the HTC cluster ATLAS-BFG using the COBalD/TARDIS software. To increase usage efficiency, we allow the integrated resources to be shared between the various High Energy Physics (HEP) research groups in Freiburg. However, resource sharing also requires accounting....
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Dr Mikhail Suyetin10/23/23, 2:15 PM
Propylene is crucial for the petrochemical industry, and most studies focus on separating it from propane. However, current methods for obtaining pure propylene require complex, energy-intensive desorption processes using propylene-selective porous materials. A more efficient approach is to develop an adsorbent that prefers propane, allowing for one-step high-purity propylene production,...
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Mr Julius Weinmiller (Deutsches Zentrum für Luft- und Raumfahrt (DLR) e. V.)10/23/23, 2:30 PM
Battery performance is strongly influenced by physical and electrochemical processes occurring on the pore scale. Thus, especially the microstructure of battery components is important. Therefore, battery research is highly interested in understanding the interdependence of both. Our work goes into this direction applying computational methods that are used in the field of battery research...
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Moritz René Schäfer (University of Stuttgart)10/23/23, 2:45 PM
Molecular dynamics (MD) plays a crucial role in the field of atomistic simulations for calculating thermodynamic and kinetic quantities of molecules and materials.
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Traditionally descriptions of atomic interactions either rely on classical or quantum mechanical models which are limited in accuracy and simulation speed respectively.
Machine learning potentials (MLPs) have emerged as a useful... -
10/23/23, 3:00 PMPoster
The aim of the German National Research Data Infrastructure (NFDI) is the systematic development of valuable data from science and research in order to link the decentralised and mostly inaccessible data with each other and to make them usable in a sustainable and quality-assured manner. In order to ensure a broad coverage of scientific disciplines, a total of 26 consortia from the cultural...
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10/23/23, 3:00 PMPoster
bwFDM is engaged in various areas of research data management (RDM). The main focus is on establishing networks between stakeholders, providing information on RDM-related topics, offering consultations and training, and hosting the biennial conference series E-Science-Tage. Several of the services offered by bwFDM are relevant to research groups, bwHPC service providers,...
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10/23/23, 3:00 PMPoster
The bwForCluster Helix is a high performance computing system for researchers in Baden-Württemberg. It is designed to be used primarily in the fields of Structural and Systems Biology, Medical Science, Soft Matter, and Computational Humanities as well as for discipline-independent methods development. We present the architecture of the system and the interconnection with other services like...
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10/23/23, 3:00 PMPoster
The state service (Landesdienst) Scientific Data Storage (SDS@hd) has been available for several years to researchers from institutions participating in the federated identity management in Baden-Württemberg (bwIDM). The service is used to store small and large-scale scientific data that is frequently accessed ("hot scientific data"). This poster gives an overview of the main service...
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Mr Sanjay Kumar Srikakulam (Albert-Ludwigs-Universität Freiburg)10/23/23, 3:30 PM
Galaxy is a scientific workflow and data analysis platform transforming data-driven research. It is focused on creating an open infrastructure for computational research that is robust, scalable, and integrated, allowing for federated computational infrastructures and democratization of research data analysis. Galaxy's efficient web-based, intuitive user interface embedded with thousands of...
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Fasil Mequanint Rettie10/23/23, 3:45 PM
Soil-crop modeling plays a pivotal role in modern agricultural research by estimating environmental impacts, optimizing resource use, and predicting crop yields, particularly in the face of climate change.
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Expert-N, an agro-ecosystem model library, provides a versatile framework for soil-plant-atmosphere modeling, leveraging High-Performance Computing (HPC) to enhance model accuracy through... -
Thomas Schwitalla10/23/23, 4:00 PM
Recently, the frequency of droughts, heatwaves and other extreme events like heavy precipitation dramatically increased all over the world. Therefore, it is essential to accurately predict these types of events with a sufficient forecast lead time. As these extreme events are usually triggered by large-scale circulation pattern, this raises the question if the traditional high-resolution...
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