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LUMI Profiling and Optimization Workshop

TalTech University, Tallinn, Estonia

This comprehensive advanced level 3-day on-site course in Tallinn, Estonia provides an in-depth exploration of the LUMI supercomputer architecture and programming environment. Designed for experienced HPC users, the course combines theoretical knowledge with practical hands-on exercises to maximize your efficiency on both CPU and GPU partitions.

Event Details

Location: TalTech University, Tallinn, Estonia
Format: Onsite
Cost: Free
Registration link
Registration deadline: October 14, 2025 at 16:00 CEST / 17:00 EEST

Prerequisites

  • Solid knowledge of HPC cluster computing
  • Familiarity with Linux command line
  • Programming experience in C, Fortran, or Python
  • Good understanding of LUMI supercomputer, as obtained from, e.g., the LUMI introductory courses and some active experience
  • Active LUMI project or application in progress

Requirements: Participants must join the course-specific training project and set up a LUMI account (instructions provided after registration)

Instructors: HPE experts and AMD specialists

What You’ll Learn

  • LUMI Architecture: Deep dive into system design and components
  • Performance Tools: Compiler optimization, performance analysis, and profiling
  • Environment variables: Understanding Cray MPI on Slingshot, GPU support and
    rank reordering
  • I/O Optimization: Efficient data handling and storage strategies
  • HPE tools for profiling
  • AMD GPU Tools: Specialized profiling and optimization for GPU workloads

Resources

Important

  • Participants arrange their own travel and accommodation
  • Please cancel promptly if plans change to free seats for the waiting list
  • This is an advanced, comprehensive course. The intro course is in Tallinn right before, 20-21.10.25. See the details: LUMI Intro Course