Proceedings of the 7th bwHPC Symposium

In modern science, there is an ever-increasing demand for a more powerful, flexible and globally connected research infrastructure to tackle computational challenges in simulation, modeling and data analysis. The bwHPC initiative, founded by the Ministry of Science, Research and the Arts and the uni...

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Published in:Bulletin of the American Meteorological Society
Main Authors: Mosch, Christian, Salk, Jürgen, Wagner, Frank W.
Format: Conference Object
Language:English
Published: Universität Ulm 2022
Subjects:
HPC
DIC
Online Access:https://doi.org/10.18725/OPARU-46164
http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-46240-7
id ftunivulm:oai:oparu.uni-ulm.de:123456789/46240
record_format openpolar
institution Open Polar
collection OPARU (OPen Access Repository of Ulm University)
op_collection_id ftunivulm
language English
topic bwHPC
bwHPC-S5
HPC
Data Intensive Computing
DIC
Federated Support
Large Scale Scientific Data Management
High performance computing
Hochleistungsrechnen
spellingShingle bwHPC
bwHPC-S5
HPC
Data Intensive Computing
DIC
Federated Support
Large Scale Scientific Data Management
High performance computing
Hochleistungsrechnen
Mosch, Christian
Salk, Jürgen
Wagner, Frank W.
Proceedings of the 7th bwHPC Symposium
topic_facet bwHPC
bwHPC-S5
HPC
Data Intensive Computing
DIC
Federated Support
Large Scale Scientific Data Management
High performance computing
Hochleistungsrechnen
description In modern science, there is an ever-increasing demand for a more powerful, flexible and globally connected research infrastructure to tackle computational challenges in simulation, modeling and data analysis. The bwHPC initiative, founded by the Ministry of Science, Research and the Arts and the universities in Baden-Württemberg, is a state-wide federated approach to assist scientists with mastering these challenges. At the 7th bwHPC Symposium in November 2021, scientific users, technical operators and government representatives came together for a one-day online event. The symposium provided not only an opportunity for researchers to present their scientific results aided by bwHPC resources, but also served as a platform for discussion and exchange of ideas about the large-scale computing and data infrastructure in Baden-Württemberg and their further development.
format Conference Object
author Mosch, Christian
Salk, Jürgen
Wagner, Frank W.
author_facet Mosch, Christian
Salk, Jürgen
Wagner, Frank W.
author_sort Mosch, Christian
title Proceedings of the 7th bwHPC Symposium
title_short Proceedings of the 7th bwHPC Symposium
title_full Proceedings of the 7th bwHPC Symposium
title_fullStr Proceedings of the 7th bwHPC Symposium
title_full_unstemmed Proceedings of the 7th bwHPC Symposium
title_sort proceedings of the 7th bwhpc symposium
publisher Universität Ulm
publishDate 2022
url https://doi.org/10.18725/OPARU-46164
http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-46240-7
genre Arctic
genre_facet Arctic
op_relation Barthel, Robert u.a. (2022): bwHPC-S5 - Scientific Simulation and Storage Support Services. http://dx.doi.org/10.18725/OPARU-46056
Akermann, Kevin u.a. (2022): Simulation of turbulent particle deposition in rough pipes using an Euler-Lagrange approach. http://dx.doi.org/10.18725/OPARU-46057
Allen, Nathaniel u.a. (2022): Automated mapping and identification of shrub individuals in South Africa's Fynbos biome using drone imagery and deep learning. http://dx.doi.org/10.18725/OPARU-46058
Groß, Axel (2022): Quantum chemistry and machine learning in computational materials and interface chemistry. http://dx.doi.org/10.18725/OPARU-46060
Herrmann, Maximilian u.a. (2022): Numerical Simulation of Tropospheric Ozone Depletion Events in the Arctic Spring of the Year 2019. http://dx.doi.org/10.18725/OPARU-46061
Hörmann, Johannes L. u.a. (2022): Lightweight research data management with dtool : a use case. http://dx.doi.org/10.18725/OPARU-46062
Koblauch, Andreas u.a. (2022): Improving Learning of Neural Networks for Classification, Segmentation, and Associative Memory. http://dx.doi.org/10.18725/OPARU-46063
Kroboth, Stefan u.a. (2022): Opportunistic extension of a local compute cluster with NEMO resources for HEP workflows. http://dx.doi.org/10.18725/OPARU-46064
Kügele, Simon u.a. (2022): Numerical flow simulation for the investigation of complex structures in heat exchanger pipes. http://dx.doi.org/10.18725/OPARU-46065
Mathlouthi, Gino u.a. (2022): Numerical validation of cutting simulations for complex heat exchangers using 3D reverse engineered surfaces. http://dx.doi.org/10.18725/OPARU-46066
Peeters, Ralph u.a. (2022): Integrating Product Data using Deep Learning. http://dx.doi.org/10.18725/OPARU-46067
Sammel, Dirk u.a. (2022): How to bring HTC data to HPC resources : A caching solution for the ATLAS computing environment in Freiburg. http://dx.doi.org/10.18725/OPARU-46068
Schilling, Marcel P. u.a. (2022): A Computational Workflow for Interdisciplinary Deep Learning Projects utilizing bwHPC Infrastructure. http://dx.doi.org/10.18725/OPARU-46069
Vidal-Villarejo, Mireia u.a. (2022): Population genomic analysis of the rapid expansion of the fungal pathogen Setosphaeria turcica in Europe. http://dx.doi.org/10.18725/OPARU-46070
http://dx.doi.org/10.18725/OPARU-46164
http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-46240-7
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.18725/OPARU-4616410.18725/OPARU-4605610.18725/OPARU-4605710.18725/OPARU-4605810.18725/OPARU-4606010.18725/OPARU-4606110.18725/OPARU-4606210.18725/OPARU-4606310.18725/OPARU-4606410.18725/OPARU-4606510.18725/OPARU-4606610.18725/OPARU-4606
container_title Bulletin of the American Meteorological Society
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spelling ftunivulm:oai:oparu.uni-ulm.de:123456789/46240 2024-09-15T17:52:02+00:00 Proceedings of the 7th bwHPC Symposium Mosch, Christian Salk, Jürgen Wagner, Frank W. 2022-11-29 application/pdf https://doi.org/10.18725/OPARU-46164 http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-46240-7 eng eng Universität Ulm Barthel, Robert u.a. (2022): bwHPC-S5 - Scientific Simulation and Storage Support Services. http://dx.doi.org/10.18725/OPARU-46056 Akermann, Kevin u.a. (2022): Simulation of turbulent particle deposition in rough pipes using an Euler-Lagrange approach. http://dx.doi.org/10.18725/OPARU-46057 Allen, Nathaniel u.a. (2022): Automated mapping and identification of shrub individuals in South Africa's Fynbos biome using drone imagery and deep learning. http://dx.doi.org/10.18725/OPARU-46058 Groß, Axel (2022): Quantum chemistry and machine learning in computational materials and interface chemistry. http://dx.doi.org/10.18725/OPARU-46060 Herrmann, Maximilian u.a. (2022): Numerical Simulation of Tropospheric Ozone Depletion Events in the Arctic Spring of the Year 2019. http://dx.doi.org/10.18725/OPARU-46061 Hörmann, Johannes L. u.a. (2022): Lightweight research data management with dtool : a use case. http://dx.doi.org/10.18725/OPARU-46062 Koblauch, Andreas u.a. (2022): Improving Learning of Neural Networks for Classification, Segmentation, and Associative Memory. http://dx.doi.org/10.18725/OPARU-46063 Kroboth, Stefan u.a. (2022): Opportunistic extension of a local compute cluster with NEMO resources for HEP workflows. http://dx.doi.org/10.18725/OPARU-46064 Kügele, Simon u.a. (2022): Numerical flow simulation for the investigation of complex structures in heat exchanger pipes. http://dx.doi.org/10.18725/OPARU-46065 Mathlouthi, Gino u.a. (2022): Numerical validation of cutting simulations for complex heat exchangers using 3D reverse engineered surfaces. http://dx.doi.org/10.18725/OPARU-46066 Peeters, Ralph u.a. (2022): Integrating Product Data using Deep Learning. http://dx.doi.org/10.18725/OPARU-46067 Sammel, Dirk u.a. (2022): How to bring HTC data to HPC resources : A caching solution for the ATLAS computing environment in Freiburg. http://dx.doi.org/10.18725/OPARU-46068 Schilling, Marcel P. u.a. (2022): A Computational Workflow for Interdisciplinary Deep Learning Projects utilizing bwHPC Infrastructure. http://dx.doi.org/10.18725/OPARU-46069 Vidal-Villarejo, Mireia u.a. (2022): Population genomic analysis of the rapid expansion of the fungal pathogen Setosphaeria turcica in Europe. http://dx.doi.org/10.18725/OPARU-46070 http://dx.doi.org/10.18725/OPARU-46164 http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-46240-7 https://creativecommons.org/licenses/by/4.0/ bwHPC bwHPC-S5 HPC Data Intensive Computing DIC Federated Support Large Scale Scientific Data Management High performance computing Hochleistungsrechnen doc-type:conferenceObject Text 2022 ftunivulm https://doi.org/10.18725/OPARU-4616410.18725/OPARU-4605610.18725/OPARU-4605710.18725/OPARU-4605810.18725/OPARU-4606010.18725/OPARU-4606110.18725/OPARU-4606210.18725/OPARU-4606310.18725/OPARU-4606410.18725/OPARU-4606510.18725/OPARU-4606610.18725/OPARU-4606 2024-07-30T23:44:49Z In modern science, there is an ever-increasing demand for a more powerful, flexible and globally connected research infrastructure to tackle computational challenges in simulation, modeling and data analysis. The bwHPC initiative, founded by the Ministry of Science, Research and the Arts and the universities in Baden-Württemberg, is a state-wide federated approach to assist scientists with mastering these challenges. At the 7th bwHPC Symposium in November 2021, scientific users, technical operators and government representatives came together for a one-day online event. The symposium provided not only an opportunity for researchers to present their scientific results aided by bwHPC resources, but also served as a platform for discussion and exchange of ideas about the large-scale computing and data infrastructure in Baden-Württemberg and their further development. Conference Object Arctic OPARU (OPen Access Repository of Ulm University) Bulletin of the American Meteorological Society