Description:
The workshop introduces students to the extensive computing resources of the SLING network, which are essential for advanced engineering tasks. Participants will gain access to a supercomputing cluster, learn basic principles, and explore practical examples of parallel programming in the C language.
Extended description:
Modern computational algorithms often require significant computing power. For certain engineering problems, even a powerful workstation quickly becomes insufficient or cannot support fast experimentation. However, Slovenian researchers—including doctoral students—have access to several high-performance computing clusters (supercomputers) connected through the Slovenian supercomputing network SLING. In this workshop, you will (if you wish) obtain user accounts on one of the clusters in the SLING network, learn the basic principles of working with a supercomputer, and compile your first parallel program in C.
Date: 19 November, 16:00–19:00
Language: English
Prerequisites: Putty and PuttyGen for Windows (free download - please install before start of the workshop). Linux and Mac users don't need any downloads.
Location: Zoom
Target audience: Doctoral students.
Format:
The workshop is organized as an online Zoom session. Participants will access the supercomputing cluster via SSH.
Skills gained:
• Architecture of supercomputers, with emphasis on systems in the SLING network
• Differences between working on a workstation (personal computer) and a supercomputer
• Tips for effective use of supercomputer resources
• Example of simple parallelization (matrix multiplication, processor communication via MPI)
Organizator:
Predavatelja:
| Assoc. prof. dr. Janez Perš |
|
Associate professor at the Faculty of Electrical Engineering, University of Ljubljana, and a member of the Laboratory for Machine Intelligence (LMI). His research and teaching span computer vision, machine intelligence, and embedded systems, with a strong focus on applying artificial intelligence to real-world problems such as autonomous vehicles, robotics, and precision agriculture. He has been an early and active adopter of AI-assisted tools in research, teaching, and academic communication, exploring how systems like ChatGPT can augment productivity, creativity, and critical thinking in academic contexts. |
| janez.pers@fe.uni-lj.si |
| as. dr. Janez Križaj |
| Janez Križaj is a researcher at the Faculty of Electrical Engineering at the University of Ljubljana. His research areas are deep learning, computer vision, biometrics, face recognition, pattern recognition, and image processing. |
| janez.krizaj@fe.uni-lj.si |
