EoCoE Summer School
The Energy-Oriented Center of Excellence (EoCoE) organizes Summer School on June 6-8, which will be hosted remotely..
This two-day event will include in-depths training on the flagship EoCoE codes and solvers, which focus on HPC simulations applied to energy domains, are designed and optimized to run on the latest iteration of European pre-exascale machines, and will ultimately be scaled to the upcoming exascale systems. It will allow you to test your mastery of these codes on the EoCoE Software as a Service Portal, using the computing resources of the Poznan Supercomputing and Networking Center (PSNC).
Team of brilliant researchers, from several prominent European research centers, will host the training sessions and supervise your work.
A strong participation to the EoCoE school will be rewarded with several awards, including money prize, books, full expenses for three-day trips to Naples to join our project’s members for our final consortium meeting in Naples at the end of June, for up to six participants.
This school is a unique opportunity for participants to meet with leading researchers and experts, to try their hand at top domain codes, and to develop their network. We hope many of you will join us for this milestone event, which will conclude the second phase of the EoCoE project with a bang!
Watch the recording of the webinar MATLAB in a Nutshell 9 Oct - Ak ste nestihli septembrový webinár MATLAB v kocke, prinášame vám jeho kompletný záznam. Podujatie predstavilo prostredie MATLAB – výkonný inžiniersky nástroj a interaktívne prostredie určené na vedecké a technické výpočty, analýzu a spracovanie dát, vizualizáciu a tvorbu algoritmov.
All Hands Meeting in Estonia 30 Sep - V dňoch 23. – 25. septembra 2025 sa zástupkyne Národného kompetenčného centra pre HPC Halyna Hyryavets a Lucia Malíčková zúčastnili záverečnej konferencie projektov CASTIEL2, EuroCC2, EuroCC4SEE a Centier excelentnosti (CoEs), ktorá sa konala v Tallinne v Estónsku.
MATLAB WORKSHOP: Scaling Algorithms and Simulations Using Parallel Computing 25 Sep - Computationally intensive tasks, processing large volumes of data, and repeated simulation runs are everyday challenges in both science and industry. Modern approaches make it possible to significantly accelerate these processes by leveraging parallel computing and available hardware resources – from multiple CPU cores to GPU acceleration. MATLAB and Simulink offer a wide range of possibilities to efficiently utilize these resources without the need for specialized knowledge of GPU programming or complex HPC solutions.