With the upcoming LUMI supercomputer (https://www.lumi-supercomputer.eu/) arriving this year in Finland, as well as the Dardel supercomputer (https://www.pdc.kth.se/hpc-services/computing-systems/dardel) arriving this and next year to PDC in Stockholm, ENCCS and CSC are providing a series of training events for future users of these new systems. The main partitions of both LUMI and Dardel will be based […]
GPU hackathons offer a unique opportunity for domain scientists and research software engineers to accelerate and optimize their applications on GPUs. Teams of researchers are paired with experienced GPU mentors to learn and apply the accelerated and parallel computing skills needed by the scientific community. Both current or prospective users of large hybrid CPU/GPU HPC clusters who develop applications that could benefit from GPU acceleration are encouraged to participate!
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 […]
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, […]
This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903. The JU receives support from the Digital Europe Programme and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg, Slovakia, Norway, Iceland.
