Visualisation

Scientific data visualisation allows researchers to better understand their raw data and translate it into meaningful forms.

Applying visualisation techniques to complicated datasets can require specialist hardware, such as high-end graphics cards for handling large datasets in real time, novel display technologies to fully exploit the human visual system and user interface devices to facilitate the interaction. 

The Pawsey Supercomputing Centre Visualisation team provides a package of hardware, software and expertise, to tackle the whole range of visualisation activities.

The team offers the following services to our researchers:

  • Linux-based Remote visualisation on Topaz
  • Windows-based Remote visualisation
  • Visualisation expertise

For more details and documentation, please visit visualisation documentation or contact help@pawsey.org.au.

Technical specifications

Remote Visualisation Topaz Nodes (20):

  • Dual Intel Xeon Silver 4215 2.5 GHz 8-core processors
  • 192 GB RAM
  • RTX5000 16GB GPU

Windows Workstations (2): 

Intel(R) Xeon(R) CPU E5-2697 V2 @ 2.70GHz 2.70 GHz

  • Dual Intel Xeon Silver E5-2697 V2 2.7 GHz 12-core processors
  • 256 GB RAM
  • Quadro K5000 4GB GPU
  • Tesla K20c 5GB GPGPU Accelerator
Scientific data visualisation allows researchers to better understand their raw data and translate it into meaningful forms.
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