AIDA invites our technical community to an AIDA-day on Zoom where we will deep dive into hot topics in AI training. Our keynote speaker, Veronika Cheplygina, IT University Copenhagen DK, is invited to present her recent paper on methodological failures in ML for medical imaging and to discuss her interesting work on tackling limited access to labelled data. […]
Presented by AMD in collaboration with ENCCS. This four half-day online workshop will cover how to develop and port applications to run on AMD GPU and CPU hardware on top AMD-powered supercomputers. Participants will learn about the ROCm software development languages, libraries, and tools. They will also get a developer's view of the hardware that […]
Welcome to this SciML GPU Bootcamp! This online event will take place during two half-days on 21-22 February 2023 and is designed to teach researchers and engineers how scientific machine learning (SciML) can address domain-specific data challenges and extract insights from scientific datasets. The Bootcamp is co-organised by ENCCS, OpenACC.org and NVIDIA. SciML is an […]
About the event Dardel is a Swedish flagship supercomputer operated by PDC at KTH in Stockholm. It is an HPE Cray EX system with AMD EPYC™ 64 core CPUs and AMD Instinct MI250X GPUs. Compute time on Dardel is available for academic research via NAISS. This hackathon is for teams of research software developers who want to […]
This is a two day online course given on Friday 9th and Monday 12th of June. On June 16 there will additionally be an optional mini-hackathon event where you are invited to bring your own code, that you want to port to GPUs, and get expert help from mentors. Graphical processing units (GPUs) are the […]
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.
Registrations are closed for this event. 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 […]
Registrations are closed for this event. 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 […]
Overview Graphics Processing Units (GPUs) power many of the world’s high-performance computing (HPC) systems. Today, most of the computing capacity available to researchers and engineers in HPC comes from GPUs or similar accelerators. As a result, learning how to program GPUs has become increasingly important for developers working on HPC software. At the same time, […]
Overview Graphics Processing Units (GPUs) are the workhorses of many high-performance computing (HPC) systems worldwide. Today, the majority of HPC computing power available to researchers and engineers comes from GPUs or other accelerators. As a result, programming GPUs has become increasingly important for developers working on HPC software. At the same time, the GPU ecosystem […]