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SUMMARY:OpenFOAM: Setting Up and Performing Fluid Dynamics Simulations on 
 HPC Systems
DTSTART:20260713T070000Z
DTEND:20260713T110000Z
DTSTAMP:20260803T202300Z
UID:indico-event-314@events.asc.ac.at
CONTACT:training@asc.ac.at
DESCRIPTION:Start date:  13 July 2026\, 09:00 (CEST)   Entry level:  B
 asicEnd date:  13 July 2026\, 13:00 (CEST)   Subject area:  Computatio
 nal Fluid Dynamics (CFD)Location:  ONLINE (Zoom)     Topics:  OpenFOA
 MLanguage:  English     Target audience:  Industry\, public admin\, a
 cademiaPrice:  Free (for eligible participants)     Organizers:  ASC 
 / EuroCCExplore how to perform scalable CFD simulations with OpenFOAM on H
 PC systems. Set up meshes\, run parallel fluid dynamics simulations\, and 
 analyze complex flow behavior. Understand turbulence models\, solver perfo
 rmance\, and distributed computing workflows and gain practical experience
  in running efficient CFD pipelines on modern multi-node clusters.Computat
 ional Fluid Dynamics (CFD) enables the simulation of fluid flow\, heat tra
 nsfer\, and transport phenomena in complex systems. This course introduces
  efficient and scalable CFD workflows using OpenFOAM on multi-node HPC clu
 sters.Participants will learn how to set up simulation cases\, generate an
 d refine meshes\, define boundary conditions\, and run steady-state and tr
 ansient fluid dynamics simulations. The course covers core CFD concepts in
 cluding incompressible flow\, turbulence modelling\, and numerical discret
 ization methods.Building on these foundations\, participants will perform 
 parallel simulations in OpenFOAM\, exploring domain decomposition\, solver
  configuration\, and scaling behavior on distributed CPU systems. Practica
 l exercises demonstrate how mesh size\, solver choice\, and communication 
 overhead affect runtime and performance.The course also introduces post-pr
 ocessing and visualization workflows using ParaView\, allowing participant
 s to analyze velocity fields\, pressure distributions\, vortices\, and flo
 w stability.By the end of the course\, participants will be able to build 
 and execute complete CFD workflows — from mesh generation and solver set
 up to parallel execution and visualization — and efficiently run fluid d
 ynamics simulations on modern HPC systems.Agenda & ContentFor a detailed t
 imetable and additional information\, please see Agenda & Content in the l
 eft menu.Target audience\, eligibility & pricesEveryone is welcome who wan
 ts to learn how to do computational fluid dynamics with OpenFOAM at scale 
 on HPC systems\, including students\, researchers\, and professionals from
  academia and industry.This course is open and free of charge for all part
 icipants from academia\, industry\, and public administration from EU and/
 or EuroHPC JU member countries.Entry level & prerequisitesBeginner – no 
 prior experience with OpenFOAM or HPC is necessary.Basic knowledge of comp
 utational fluid dynamics is required.Participants should be comfortable wo
 rking with the UNIX/LINUX command line. Course formatThis course will be 
 delivered as a LIVE ONLINE COURSE (using Zoom).Hands-on labsAll participan
 ts will get a temporary user account on one of the ASC systems to do the h
 ands-on labs.You will use your own laptop or workstation to connect conven
 iently from your browser to the ASC Jupyterhub and do the hands-on exercis
 es on a suitable CPU or GPU partition of the ASC.Accepted participants wil
 l be contacted a few days before the course and asked to do a short pre-as
 signment that has to be completed before the course starts.LecturerThomas 
 Haschka (Campus IT / HPC\, TU Wien)                   
     Dr. Thomas Haschka is an Austrian biophysicist and computational s
 cientist specializing in molecular biophysics\, high-performance computing
 \, machine learning and Artificial Intelligence. He currently works as an 
 AI Specialist in the dataLAB of the High-Performance Computing Unit at Cam
 pus IT\, TU Wien\, supporting advanced research infrastructure and data-dr
 iven innovation. With a PhD from Université de Reims Champagne-Ardenne (h
 ighest distinction)\, he has held research positions at institutions such 
 as the Pasteur Institute\, Paris Brain Institute\, and the American Univer
 sity of Beirut. His work spans molecular dynamics\, epidemiological modeli
 ng\, genomics\, and AI evaluation methods\, supported by strong expertise 
 in GPU programming and cloud technologies. He combines academic research e
 xcellence with real-world industrial consulting experience.LanguageEnglish
 Date\, time\, and location13.07.2026\, 09:00 – 13:00 (CEST)\, LIVE ONLIN
 E COURSE (Zoom)RegistrationRegistration is required\, the registration for
 m can be found on top of this page in the menu on the left.Please register
  with your official institutional email address to prove your affiliation.
 You will get an automatic confirmation by email (subject starting with "[I
 ndico] Registration")\, please check your Spam/Junk folders.Following your
  successful registration\, you will receive further information a few days
  before the course.Please do not hesitate to contact us at training@asc.ac
 .at if you have any questions.WaitinglistAfter the number of registrations
  has reached its maximum or the registration form has been closed\, you ma
 y want to send us an email (training@asc.ac.at) stating that you are inter
 ested to be put on the waiting list (vacancies may occur due to cancelatio
 ns\, etc.).To be able to do the hands-on labs on the ASC systems please pr
 ovide your full international mobile-phone number for the two-factor authe
 ntication required to login to the ASC systems.Modification\, withdrawal &
  no-show policyYour registration is binding. Please only register for the 
 course if you are really going to attend.You can update your registration 
 data or withdraw your registration anytime before the registration form ha
 s been closed via the link "Manage my registration" which you can find at 
 the bottom of your automatic email confirmation (subject starting with "[I
 ndico] Registration").Alternatively\, or after the registration form has b
 een closed\, please inform us about your cancelation or any change in your
  registration data (especially your mobile-phone number) via email (traini
 ng@asc.ac.at).No-show policy: If you do not cancel and do not show up at t
 he course you will be blacklisted and excluded from future training events
 .OrganizersThis course is organized by Austrian Scientific Computing ASC (
 aka ASC Research Center\, TU Wien).AcknowledgementsThis course is partiall
 y funded by the EuroCC 3 project.EuroCC 3 has received funding from the Eu
 ropean High-Performance Computing Joint Undertaking (JU) under Grant Agree
 ment No. 101306701. The JU receives support from the European Union‘s Di
 gital Europe Programme and Germany\, Albania\, Austria\, Belgium\, Bosnia 
 and Herzegovina\, Bulgaria\, Croatia\, Cyprus\, Czechia\, Denmark\, Estoni
 a\, Finland\, France\, Greece\, Hungary\, Iceland\, Ireland\, Italy\, Latv
 ia\, Lithuania\, Luxembourg\, Malta\, Montenegro\, the Netherlands\, North
  Macedonia\, Norway\, Poland\, Portugal\, Romania\, Serbia\, Slovakia\, Sl
 ovenia\, Spain\, Sweden\, Türkiye\, and Kosovo.Funded by the European Uni
 on. Views and opinions expressed are however those of the author(s) only a
 nd do not necessarily reflect those of the European Union or EuroHPC Joint
  Undertaking. Neither the European Union nor the EuroHPC Joint Undertaking
  can be held responsible for them.National co-funding for Austria was gran
 ted by Austrian Scientific Computing (ASC).\n\nhttps://events.asc.ac.at/ev
 ent/314/
IMAGE;VALUE=URI:https://events.asc.ac.at/event/314/logo-4053892323.png
LOCATION:Zoom (ONLINE)
URL:https://events.asc.ac.at/event/314/
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