Dear ASC users and friends,

this week we offer two quite different events - the good news: registration is still possible! And if you are up to learning parallel programming with OpenMP and/or MPI don't forget to sign up for our upcoming courses - there are still seats available.

• MATLAB and AI on HPC (AI:AT webinar) on Wednesday
   

  • MATLAB Day (not-only) for Austria: AI Workflows for Academia & Industry
    29 Oct 2025, 14:00-16:00 (CET), online
    Free of charge for all participants from EU and/or EuroHPC JU member countries.
    

    Enhancing traditional first-principle models in mechanical and electrical engineering remains challenging. AI workflows offer efficient solutions to build & train neural networks, enabling complex models to achieve real-time performance.
    

    In this webinar, experts from both industry and academia showcase available resources, demonstrating the advantages of adopting AI-driven workflows in research & development, highlighting their potential to accelerate innovation.
    

    Event Highlights:
    - Access HPC Resources: Use ASC‘s clusters or the EuroHPC systems for your projects
    - Industry applications: Discover how AI impacts engineering
    - Demo: Achieve real-time simulation with data-driven models
    - Q&A: Your questions answered by experts

    For more details & registration:
    Registration will be open until the end of the webinar, the Zoom link is in the confirmation mail:
    MATLAB Day (not-only) for Austria: AI Workflows for Academia & Industry (29 Oct 2025)
    
    
    
• Optimizing Parallel Codes – Linaro Forge on Thursday 

  • Debugging and Optimizing Parallel Codes with Linaro Forge
    30 Oct 2025, 10:00-15:00 (CET), online
    Free of charge for all participants from EU and/or EuroHPC JU member countries.
    

    This course provides an overview of Linaro Forge, a cross platform, integrated environment for debugging and optimizing parallel codes at any scale. It will provide hands-on demonstrations and exercises of how Linaro Forge reduces development time, simplifies debugging, and eases application performance enhancement on HPC systems.
    

    This course is on intermediate level. Participants should be familiar with submitting jobs, understand MPI applications, and know at least one of the programming languages C, C++, Fortran, or Python. In addition, they should already have a basic grasp on debugging and performance engineering.
    
    Lecturer: Rudy Shand (Principal field application engineer, Linaro Forge)

    For more details & registration - registration deadline is TODAY 28 Oct 2025:
    Debugging and Optimizing Parallel Codes with Linaro Forge (30 Oct 2025)
    
    

• Upcoming: Parallel Programming – OpenMP & MPI
  
  

  • Shared-Memory Parallelization with OpenMP
    3-4 Nov 2025, online
    Free of charge for all participants from EU and/or EuroHPC JU member countries.
    

    The focus of this 2-days course is on shared-memory parallelization with OpenMP for multi-core, shared-memory, and ccNUMA platforms. This course teaches OpenMP starting from a beginners level and will cover OpenMP and CPUs only. Hands-on sessions (in C and Fortran) will allow users to immediately test and understand the OpenMP directives, environment variables, and library routines. Race-condition debugging tools are also presented.

    No prior OpenMP knowledge is required, but you should have basic programming skills in either C/C++ or Fortran and you should be able to work on the Linux command line.
    
    Lecturer: Philipp Gschwandtner (Head of the Research Center HPC, University of Innsbruck) 

    For more details & registration - registration deadline is 30 Oct 2025:
    OpenMP (3-4 Nov 2025)
    
    

  • Parallelization with MPI
    17-20 Nov 2025, hybrid at TU Wien & online
    Free of charge for ASC users and students and members of Austrian universities.
    Others can participate with a small fee (180 € academia/research, 600 € industry).
    

    HPC and MPI could not be without each other. No matter if it‘s large-scale HPC simulations or training large AI models, the backbone that makes this possible is MPI or one of it's derivatives. It lets you run code across many nodes at once unlocking performance gains and making huge problems solvable.
    

    On clusters and distributed memory architectures, parallel programming with the Message Passing Interface (MPI) is the dominating programming model. This 4 half-days course teaches parallel programming with MPI starting from a beginners level. Hands-on sessions (in C, Fortran, and Python) allow to immediately test and understand the basic constructs of the Message Passing Interface (MPI).

    No prior MPI knowledge is required, but you should have basic programming skills in either C/C++ or Fortran or Python.
    
    Lecturer: Claudia Blaas-Schenner (Member of the MPI Forum; ASC Research Center, TU Wien) 

    For more details & registration - registration deadline is 10 Nov 2025:
    MPI (17-20 Nov 2025)
    
    

  • Lecture ASC-School I – students can earn ECTS
    As every autumn, we would like to highlight the lecture ASC-School I during the upcoming winter semester that allows students of TU Wien and of other Austrian universities via a co-registration at TU Wien to earn ECTS (please check out the deadlines for registration and co-registration at TU Wien) – the only mandatory part for ASC-School I is MPI (17-20 Nov 2025) – and if you'd like to swap it for a different topic/course please get in touch!
    
    
    
• All training events of ASC (including EuroCC and AI:AT funded courses and webinars)
  • https://events.asc.ac.at/category/4/

• Please pass on the information to your colleagues or students who do not receive this newsletter directly.