EuroCC@Greece announced the 16th Course of HPC Training Series with the subject \u201cCompute at Scale: Concepts and Spotlight on AI, IoT, Simulations\u201d, that took place online on\u00a0 September 29th, 2025.<\/p>\n
Presentation language<\/strong>: Greek<\/p>\n Audience<\/strong>: Suitable for students, researchers, and engineers interested in gaining an understanding of essential concepts of parallelism and a practical grasp of its role in data-intensive domains of HPC.<\/p>\n Location<\/strong>: Online via Zoom<\/p>\n This course provided an introduction to essential parallelism concepts that underpin modern HPC and reviewed how these principles underlie some of the most popular real-world use cases of high-performance computing (HPC) in the domains of AI, streaming systems, and scientific computing. The goal of the course was to help the participants take a step towards becoming well-informed users of technologies and frameworks that exploit parallelism, and to be introduced to the aspects they should consider when\u00a0 gauging which set-ups may be suitable for their needs, as well as what benefits they can expect. To bridge theory with practice, the webinar concluded with two demo sessions: an introductory tutorial on PyTorch with Distributed Data Parallel (DDP), and a demo of the YOLOv8 model for scalable computer vision.<\/p>\n Learning Objectives<\/strong>:<\/p>\n Learning Outcome<\/strong>:<\/p>\n Use of interactive methods<\/strong>:<\/p>\n The course contained lectures dedicated to practical demonstrations of popular AI-related tools (the Pytorch DDP module, the YOLO v8 computer vision model), which also provided code snippets to the audience. Furthermore, the course included a dedicated Q&A session in order to foster interaction between trainers and trainees.<\/p>\n Presentation Material of the Course can be found here<\/a>.<\/p>\n\n
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