The N-Ways to GPU Programming Bootcamp covers the basics of how to use GPUs and provides an overview of different methods for porting scientific application to GPUs using NVIDIA® CUDA®, OpenACC, standard languages, OpenMP offloading, and/or CuPy and Numba.
🗓️ 16, 23 April & 7, 14 May 2024 Do you use supercomputers in your research work? Are you curious about making your computing faster and more efficient? Join us for TTT4HPC: four self-contained episodes on tools and techniques for supercomputing. It is a great chance to enhance your computational skills. What you will learn […]
Welcome to the 4th Baltic HPC and Cloud Conference! About The conference will feature a lot of topics, including talks on innovative uses of HPC and Cloud computing and presentations about HPC/Cloud computing services ranging from EuroHPC supercomputers to Quantum Computing. Historically, the conference was organised by Riga Technical University, HPCEuropa3 project, University of Tartu, […]
ENCCS comes together with NAISS to organise the VASP/EMTO Best Practices Workshop. During the workshop we will showcase how to run the VASP (Vienna Ab-initio Simulation Package) and the EMTO (Exact Muffin-Tin Orbitals) packages efficiently on supercomputers. Who is this workshop for? The workshop is mostly suitable for material scientists beginners and intermediate users at […]
Life science and supercomputing Powerful GPU supercomputers allow us to carry out large-scale life science experiments in a fraction of the time that it would otherwise take. They also allow us to pursue research projects that would otherwise not be possible. Life science researchers at Swedish universities can apply and make use of the Berzelius […]
Overview Welcome to the Multi-GPU programming bootcamp! Scaling applications to multiple GPUs across multiple nodes requires one to be adept at programming models and optimisation techniques, and proficient at performing root-cause analysis using in-depth profiling to identify and minimise bottlenecks. Topics on GPU programming covers single node multi-GPU (P2P) and multi-Node multi-GPU (GPU Direct) programming, […]
The AI for Science Bootcamp provides a step-by-step overview of the fundamentals of deep neural networks related to scientific computing and physical systems defined by differential equations.
📍 Dansk Industri, H.C. Andersens Boulevard 18, 1553 Copenhagen *All the spots for in-person participation have been filled. Join us at the Nordic Industry Days 2024 in the heart of Copenhagen to discuss the latest developments in Supercomputing, AI, and Quantum Computing and how they can boost your business model. Save costs, become competitive, and […]
September 10-12, 17-19, 2024 09:00-13:30 In this course, you will become familiar with tools and best practices for scientific software development. We don't teach programming, but we teach the tools you need to do programming well and avoid common inefficiency traps. The tools we teach are practically a requirement for any scientist that has to do […]
Supercomputing for AI is for AI developers and entrepreneurs who want to scale up their AI models by using supercomputers.
Join us at the Stockholm Python Group meetup to learn more about Python performance, profiling, and parallelising.
Join us at the Systems Build course and hackathon event designed to equip you with the tools and expertise needed to harness the full potential of modern computing architectures.
The Best Practices in HPC training workshop focuses on helping competent practitioners and experts in various fields teach their knowledge to others. It also serves as a kickstart to teaching available open-source training material from ENCCS and other training providers. The two-half-day online workshop will present best practices in teaching technical topics both online and […]
The EuroHPC Joint Undertaking and the EuroCC Netherlands invite you to attend the EuroHPC User Day 2024. Building on the experience of last year, this event will bring together once again the EuroHPC User community. Attendees will be able to showcase EuroHPC projects that have used European HPC supercomputing resources, share best practices in the development of […]
About the event This event aims to unite HPC training providers and stakeholders to discuss current developments in the growing ecosystem of HPC training. We will share experiences, and identify collaboration opportunities. HPC Training in Europe Training and educating future professionals in advanced HPC practices and digital technologies is crucial for driving scientific research and […]
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 from diverse backgrounds to collaborate, learn, and innovate. Join us for an engaging and productive event where innovation meets collaboration. Whether you are new to […]
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 - these powerful devices can accelerate and massively parallelise any general-purpose computational load in domains involving big data and heavy number crunching. You can use the […]
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 know some internals and important libraries for science - basically, how a typical scientist actually uses Python. Python is a modern, object-oriented programming language, which […]
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 the GPU programming landscape and make more informed decisions on which languages or frameworks to learn and use for their projects. This workshop will cover […]
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 learning applications. Starting from the basic syntax of Julia, we will span topics on multiple-dispatch paradigm, metaprogramming, and then additional special features of Julia for […]
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 .
