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Emerging Requirements for High Performance Algorithms

Exascale software and algorithms are being developed across the programme, yet, the impact that these codes will have go beyond disciplines currently represented in the programme to those across the UK research landscape. These disciplines include, but are not limited to computational biomedicine, computational biology and digital humanities and social sciences. This tranche will introduce the potential of exascale software, identify community requirements and enable knowledge exchange between these communities and the scientific code developed within the programme.

Emerging Requirements for High Performance Algorithms will deliver an increased capability within the UK research landscape by working with communities with new and emerging requirements to: 

  • Champion the potential of exascale software and algorithms. 
  • Identify requirements for scientific codes at exascale in communities that will pioneer the uptake of this technology. 
  • Enable two-way knowledge exchange with these communities, sharing the developments within the programme and the requirements for future codes. 
  • Drive the importance of training and skills to prepare for faster and powerful supercomputers of the mid-20s.  

The UK research landscape is well versed in the efficiency and capability of current software and HPC architecture, however the ExCALIBUR programme has set out to prepare researchers and skilled staff on the potential of exascale and the benefit this will have on their science and expertise. 

A series of activities will take place during the year, which will contribute towards the scope of a future funding opportunity.  

Computational biomedicine  
Modelling biomedical processes across all scales within the human body to improve scientific understanding in medicine, healthcare and clinical practice. 

Computational biology 
Computational biology using HPC for accurate simulations of molecules and cells. 

Digital humanities and social sciences 
Increased ability to model and analyse data recording human life, behaviour and society, enabling improved public policy and supporting creative industries. 

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