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DTSTART;TZID=Europe/Berlin:20221018T090000
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DTSTAMP:20260425T195356
CREATED:20220919T095056Z
LAST-MODIFIED:20220919T120008Z
UID:6102-1666083600-1666098000@blog.rwth-aachen.de
SUMMARY:[:de]Training: Process Mining and Scientific Workflows running on the HPC cluster[:en]Training: Process Mining and Scientific Workflows Running on the HPC cluster[:]
DESCRIPTION:Name: Training: Process Mining and Scientific Workflows running on the HPC cluster \nEvent type: Workshop \nDate: October 18\, 2022\n \nTime:  9am – 1pm \nFormat: Online\n \nTarget Audience: HPC users\n \nContact Person: Zahra Sadeghibogar \n*More information* \n \n\n  \nDesciption  \nThe goal of process mining is to turn event data into insights and actions. On the other side\, there exist scientific workflows running on HPC clusters. \nNow\, how can we combine process mining and scientific workflows running on HPC clusters? The first idea is „Process mining on logs of execution of scientific workflows on HPC“. Process mining on previous executions of a workflow on an HPC system can be used to deduce certain parallel execution parameters such as the number of tasks\, number of cores\, dedicated memory\, etc. So\, here we can provide valuable insights and offer optimization ideas for running the tasks on the HPC cluster. \nCurrently\, based on the analysis of the extracted event log\, there is limited usage of SLURM as the workflow management system\, which means that only a small fraction of accounts declare interdependencies between tasks. So here comes the second idea\, which is implementing a workflow engine that runs workflow steps (jobs) on SLURM with correct interdependencies. The third idea could be enabling efficient and distributed execution of process mining operators on HPC clusters. That is to allow users to run process mining workflows on an HPC cluster. \n\n  \nAgenda \n8:45 – 9:00\nWelcome \n9:00 – 9:30\nTalk 1: Introduction to Process Mining \n9:30 – 10:00\nTalk 2: Introduction to HPC challenges to process mining \n10:00 – 10:30\nTalk 3: Introduction to scientific workflows and workflow management systems \n10:30 – 11:00\nBreak \n11:00 – 11:30\nTalk 3: The first idea: Process mining on logs of execution of scientific workflows on HPC \n11:30 – 12:00\nTalk 4: The second idea: Building a workflow engine to run workflow steps on the HPC cluster with correct interdependencies \n12:00 – 12:30\nDiscussion \n12:30 – 12:45\nConclusion
URL:https://blog.rwth-aachen.de/itc-events/en/event/training-process-mining-and-scientific-workflows-running-on-the-hpc-cluster/
LOCATION:Online\, Deutschland
CATEGORIES:Einmalig,HPC Events
ATTACH;FMTTYPE=image/jpeg:https://blog.rwth-aachen.de/itc-events/files/2022/09/NHR4CES_RGB.jpg
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DTSTART;TZID=Europe/Berlin:20221018T100000
DTEND;TZID=Europe/Berlin:20221018T160000
DTSTAMP:20260425T195356
CREATED:20220919T095743Z
LAST-MODIFIED:20220919T115950Z
UID:6104-1666087200-1666108800@blog.rwth-aachen.de
SUMMARY:Training: Parallelization in OpenFOAM for HPC Deployment
DESCRIPTION:Name: Training: Parallelization in OpenFOAM for HPC Deployment \nEvent type: Workshop \nDate: October 18\, 2022\n \nTime:  10am – 4pm \nFormat: Online\n \nTarget Audience: HPC users\n \nRequirements (required knowledge/experience):  \nThe participants are required to have a working operation system (Linux) and the most recent version of OpenFOAM installed. For more details and instructions\, please refer to \n\nhttps://develop.openfoam.com/Development/openfoam/-/blob/master/doc/Build.md\nhttps://develop.openfoam.com/Development/openfoam/-/wikis/precompiled/\nhttps://www.openfoam.com/documentation/system-requirements\n\nTo take full advantage of the course offering it would be advisable to have a standing knowledge of using Linux\, as it is used for all exercises. Basics in C++ programming will be required for some of the exercises as well as some insights into CFD theory (finite volume method\, basic concepts of discretization). \nContact Person: Mohammed Elwardi Fadeli and Dr. Holger Marschall \n*More information* \n \n\n  \nDesciption  \nOpenFOAM is an open source\, mature and established C++ library for computational continuum mechanics (CCM) including Computational Fluid Dynamics (CFD). For leveraging its full potential\, it is crucial to efficiently use the high-performance computing (HPC) resources on modern distributed-memory parallel computer architectures. This must be based on a sound understanding of parallelization in OpenFOAM and HPC techniques available. \nThe training will be concerned with introducing the participants to the different concepts of parallelization\, along with code examples for illustration. Moreover\, we will provide hands-on exercises to further deepen and solidify the transferred knowledge. The participants will further gain an overview over the distinct techniques and dedicated tools involved to run a massively parallel computation using OpenFOAM\, as well as over ongoing HPC-related activities in research and development.
URL:https://blog.rwth-aachen.de/itc-events/en/event/training-parallelization-in-openfoam-for-hpc-deployment/
LOCATION:Online\, Deutschland
CATEGORIES:Einmalig,HPC Events
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