gpu Archives

GPU programming: when, why and how?

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 […]

[Webinars] Introduction to GPU programming

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 […]

ENCCS Supports Development of BCPNNSim2.0: Advancing Brain-Like Machine Learning and Neuroscience Research

ENCCS is collaborating with researchers from KTH Royal Institute of Technology to support the development and optimisation of BCPNNSim2.0, an advanced software tool for brain-like machine learning and neural simulations. […]

42labs accesses MareNostrum 5 to develop a Swedish LLM

AI consultancy company 42 Labs accesses EuroHPC JU supercomputer MareNostrum 5 to train a Swedish large language model (LLM). They applied using the Benchmark Access Call which is continuously open […]

GPU programming using Julia – A practical intro webinar

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 […]

GPU programming using Python – A practical intro webinar

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 […]

N-ways to GPU Programming Bootcamp

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.