Extreme-Scale Visualisation

Exascale-class systems will generate huge data sets that are impossible to comprehend without further processing. Visualisation and analysis tools, techniques and algorithms have undergone a rapid evolution in recent decades to accommodate the increasing volume and complexity of modern data sets. Nonetheless, producing real-time, high-quality graphics of extreme-scale data sets presents many technical issues that are only now becoming surmountable with emerging hardware and software solutions.

Once new post-processing and visualisation techniques have been developed and integrated into data-analysis tools and problem-solving environments, the future discoveries dependent on the ready visualisation of big data can be realised.

Aims

At the Exascale Lab, we are designing solid-state storage test beds that will be combined with large-scale rendering compute engines and leading graphical software to render extreme-scale data sets in real time.
We are experimenting with different modes of in-situ visualisation and refining different visualisation working environments in collaboration with researchers at the University of Cambridge.
Our visualisation techniques will be documented and packaged, resulting in simple, flexible tools. These tools will allow for an interactive, three-dimensional visualisation of data stored by a remote service provider. Researchers will be able to manipulate and inspect data, as well as transform it into high-quality outreach material.
At the Exascale Lab, our ambition is to host a remote-access implementation of these tools. We aim to make visualisation technology accessible to working scientists, engineers and clinicians, helping them to gain further insight into their data.