🟤DanGPU Computing
DAN HPC System Overview
The DAN System is a High-Performance Computing (HPC) environment owned by reNEW (The Novo Nordisk Foundation Center for Stem Cell Medicine, SUND, University of Copenhagen) and designed to support computational experts who require access to large-scale datasets stored on KU-IT storage for advanced processing.
The platform is optimized for genomics and image data analysis workflows, enabling researchers to leverage powerful CPU and GPU resources for intensive computational tasks.
The system includes:
1 GPU computing node for image data analysis
2 high-capacity CPU computing nodes for genomics data analysis
Resources contributed by reNEW collaborators:
CGEN – Center for Gene Expression
CPR – Novo Nordisk Foundation Center for Protein Research
Integration with KU-IT storage for direct access to large datasets
Managed using SLURM Workload Manager for efficient job scheduling
Co-administered with KU to ensure optimal uptime and performance
This shared HPC infrastructure enhances computational capacity across the Faculty of Health and Medical Sciences (SUND), accelerating research requiring large-scale data processing.
DAN HPC System Specifications
Head Nodedanhead01fl
6 virtual CPUs
—
12 GB
Red Hat Enterprise Linux 8 + SLURM
Login/control node
GPU Nodedangpu01fl
4 × Intel Xeon Platinum 8280 @ 2.70 GHz224 cores/threads (Hyper-threading)
4 × NVIDIA Quadro RTX 8000
4 TB
Red Hat Enterprise Linux 8 + SLURM
Compute node, Jupyter/RStudio server
CPU Node 01dancmpn01fl
2 × AMD EPYC 7763 @ 2.45 GHz256 cores/threads (Hyper-threading)
—
4 TB
Red Hat Enterprise Linux 8 + SLURM
Compute node
CPU Node 02dancmpn02fl
2 × AMD EPYC 9454 @ 2.75 GHz192 cores/threads (Hyper-threading)
—
768 GB
Red Hat Enterprise Linux 8 + SLURM
Compute node
For more information: Contact Sen Li or visit the DanGPU website.
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