February 14, 2023
UTC timezone

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This course is dedicated to the supercomputer LUMI. EuroHPC Joint Undertaking’s LUMI supercomputer reached the third spot on the Top500 list of the world’s fastest supercomputers released at the SC22 conference in Dallas, USA, on 14 November 2022. LUMI reached a measured High-Performance Linpack (HPL) performance of 309 petaflops. This makes LUMI the fastest supercomputer in Europe.

Participants will learn about its architecture and key parameters, how to access LUMI resources, how to run jobs, and how to use the GPU accelerated partition for AI applications. 

The course will be delivered in hybrid mode. You can attend the course at IT4Innovations in Ostrava or online. 


Mgr. Branislav Jansík, Ph.D. - Supercomputing Services Director of IT4Innovations

Jan Vicherek - LUMI Support Team, IT4Innovations

Georg Zitzlsberger - trainer and researcher at the Advanced Data Analysis and Simulations Lab, IT4Innovations

Matias Jääskeläinen - Training Coordinator, CSC, Finland

Detailed agenda

9:00 – 9:30 About LUMI (B. Jansík) 30 mins

9:30 – 10:15 Introduction of LUMI supercomputer (J. Vicherek) 45 mins

  • Architecture and key parameters
  • LUMI-C partition
  • LUMI-G partition
  • Scratch and Project storage

 10:15 – 10:30 Break

 10:30 – 11:30 How to access the LUMI supercomputer (B. Jansík + M. Jääskeläinen + J. Vicherek) 30 mins + 30 mins

In this part, the participants will be split into two groups. The access mechanism for users from the Czech Republic will be described in the first and the access mechanisms for users from other EU countries will be discussed in the second group.

  • Access mechanisms
  • How to submit an application for computational resources
  • Evaluation of application
  • Account creation request
  • First login to the LUMI (guided examples)
  • How to run jobs (guided examples)

 11:30 – 12:30 Lunch Break

 12:30 – 13:30 The use of LUMI supercomputer (J. Vicherek) 60 mins

  • Computing environment and available software libraries and tools 
  • HPC resources allocation, SLURM (guided examples)
  • Scratch and Project storages (guided examples)

13:30 – 14:30 Efficient multi-GPU and multi-node execution of Deep Learning frameworks (G. Zitzlsberger) 60 mins

  • Introduction to Data Parallel Deep Learning with Horovod
  • Multi-node/-GPU aware Data Processing Pipelines
  • Demonstration of Multi-node/-GPU Examples using Tensorflow/Keras

 14:30 – 15:00 Q&A and closing


This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903. The JU receives support from the Digital Europe Programme and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg, Slovakia, Norway, Türkiye, Republic of North Macedonia, Iceland, Montenegro, Serbia. This project has received funding from the Ministry of Education, Youth and Sports of the Czech Republic.

This course was supported by the Ministry of Education, Youth and Sports of the Czech Republic through the e-INFRA CZ (ID:90254).



Registration is obligatory. 

After the number of registrations for onsite has reached its maximum or the registration form has been closed, you may want to send us an email stating that you are interested to be put on the waiting list. (Vacancies may occur due to cancellations, etc.) E-mail to training@it4i.cz


This training will be an hybrid event. The online training will be held using Zoom. Link will be sent to the accepted registrants before the event.  

Capacity and Fees

The capacity is limited to 30 participants onsite and unlimited number of online participants.

The course is free of charge for all participants.