We are excited to invite you to a dynamic three-day workshop and hackathon focused on two powerful tools for high-performance computing: alpaka and openPMD. This event will bring together developers, researchers, and enthusiasts […]
About the webinar In the past decade, Graphics Processing Units (GPUs) have ignited the dynamic evolution of data science. But GPUs can do a lot more than machine learning - […]
Python for scientific computing is a medium-advanced course in Python tools such as NumPy, SciPy, Matplotlib, and Pandas. It is suitable for people who know basic Python and want to […]
About the workshop This workshop is based on a multilateral collaboration between GPU programming specialists from the Nordic countries. It is meant to help both software developers and decision-makers navigate […]
About the webinar In this webinar, we focus on GPU-accelerated computing with Julia, one of the most popular high-level, general-purpose dynamic programming languages for science, engineering, data analytics, and deep […]
Overview This interactive workshop is designed to provide a comprehensive introduction or refresher on the fundamental concepts of quantum computing, ensuring a solid foundation for participants to engage with the […]
ENCCS joins forces again this year with NordIQuEst, to deliver a three-day quantum autumn school in early December 2024! The quantum autumn school will be held in Stockholm in hybrid […]
Overview Welcome to the online workshop on Julia for High-Performance Scientific Computing on Dec. 9-12 (2024). In this four-half-day course, we will start with the basic features of Julia, and […]
The 12th code of the month public session will be on December 11th, 2024 with a presentation by MaX CoE, about "SIESTA: a DFT code for large-scale computational material science in HPC environments" Please register using the link below.https://attendee.gotowebinar.com/register/2449943246926877273After registering, you […]
This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 951732. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and its associated countries .
