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Mixed methods approaches to detecting and analyzing communities on 4chan/pol/
In Daniel Bach’s Ph.D. research using the advanced computational power of High Performance Computing (HPC) through UCloud, the research is able to delve into the vast textual content found within online communities, such as the anonymous imageboard 4chan’s politically incorrect (/pol/) section. On this platform, myriad posts, numbering into hundreds of millions, are continually generated, […]
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Setting up jupyter-notebook with GPUs on AAU
As a pre-requirement make sure you have a project on UCloud with allocation of CPU and GPU resources on AAU. If this is not the case, please contact your local Front Office, for example by sending an email to escience@ruc.dk. The HW configurations from AAU are described below (per single node): GPU Nvidia T4 [1, […]
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Training and e-Infrastructure for Research Software Development
We teach all the essential tools which are usually skipped in academic education so everyone can make full use of software, computing, and data. We don’t just give courses, but we are a training network that you can join to share the effort and bring better courses to your community. Our standard workshop is well known in Nordic academic circles and […]
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Quick guide on running JupyterLab on UCloud
This guide provides an overview how to access the Interactive HPC also known as UCloud. It may be relevant for researchers and students who needs access to special software avoiding local installation and hardware up to 64CPU cores and 376GB of RAM on UCloud. This platform dramatically reduce processing times during data analysis and therefore […]
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PhD. workshop about High Performance Computing (HPC)
This workshop presents an overview of HPC at RUC, where we introduce different types of HPC. Our main focus is on HPC Type 1 – Interactive also known as UCloud. The slides from the presentation are available under the following link: RUC_eScience_HPC_UCloud.pdf Video recording is available here.