Name: SCynergy 2025
Start: 2025-04-28T12:00:00+02:00
End: 2025-04-29T15:00:00+02:00

All Sessions

Please note that you must be registered for the event before signing up for the training sessions.

Dates

Apr 28Apr 29

Training Session

Introduction to LLMs on MeluXina Supercomputer + AI use case with MLFlow on MeluXina

This session explores how to leverage the MeluXina supercomputer for training and deploying open-source Large Language Models (LLMs). Participants will also learn about MLFlow, an essential tool for...

Loizos Koutsantonis

LuxHPC Software Engineer

Farouk Mansouri

LuxprovideSenior Solution Engineer

Room C3

Apr 29, 2025

10:20 AM12:00 PM

Presentation of the EUMaster4HPC

Get an in-depth overview of the EUMaster4HPC program, designed to equip Europe's next generation of high-performance computing leaders.

Régis Beck

Université du LuxembourgCommunication Officer

Room C3

Apr 29, 2025

1:00 PM2:40 PM

Improving Performance with Python Parallel Packages

Discover Python’s parallel programming tools to boost execution speed and optimize performance for computationally demanding tasks.

OJCL

Oscar J. Castro Lopez

University of LuxembourgResearch associate

Room F36

Apr 29, 2025

1:00 PM2:40 PM

Profiling scientific applications

This hands-on session demonstrates various tools and best practices for profiling scientific applications. Participants will gain insights into optimizing performance for HPC workloads.

Marco Magliulo

LuxprovideHPC Software Engineer

Alban ROUSSET

LuxProvideScientific Advisor

Room C3

Apr 29, 2025

3:30 PM5:00 PM

HPC in Physics: Enabling Simulations and Accelerating Data Processing

Explore how HPC is revolutionizing materials science and pharmaceutical research by enabling complex simulations, speeding up data analysis, and solving key scientific challenges

Matteo Barborini

University of LuxembourgResearch scientist

Ariadni Boziki

University of LuxembourgPostdoctoral researcher

Room F36

Apr 29, 2025

3:30 PM5:00 PM

Multi-GPU data analysis using RAPIDS

A practical session focused on multi-node, multi-GPU data analysis using Dask and NVIDIA RAPIDS. Attendees will learn how to scale data analytics workflows efficiently.

Emmanuel Kieffer

LuxprovideHPC Software Engineer

Getting Started With HPC: Connecting, Submitting Jobs, and Running Applications

Quantum computing in action

Programing Parallel Applications on HPC systems

Quantum simulators in action

Introduction to LLMs on MeluXina Supercomputer + AI use case with MLFlow on MeluXina

Presentation of the EUMaster4HPC

Improving Performance with Python Parallel Packages

Profiling scientific applications

HPC in Physics: Enabling Simulations and Accelerating Data Processing

Multi-GPU data analysis using RAPIDS