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 […]
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 […]
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 […]
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 […]
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.
