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Opening remarks delivered by the Chair.

  • Deploying the right analytical tools to help UK businesses prosper by identifying trends
  • Informing and empowering the public on the collection and use of personal data, so they are willing participants in the new age
  • Developing a world class education division to deliver a skills base to give the UK a leading role in the worldwide use and exploitation of data

  • Using ARCHER, the UK’s national HPC service, and working in collaboration with a British software company to enable the study of the blood flow within a connecting system of arteries that sits at the base of the brain
  • Upgrading HemeLB, a modern code with well-designed test and verification processes, to be able to make the best use of ARCHER
  • Getting HemeLB to scale to 50,000 ARCHER cores to perform 153 billion site updates per second

The Evolution from Industrial Facilities to Industrial Computing 

  • Providing efficient access to industrial scale compute to facilitate new innovations in HPC and big data analytics
  • Using scalable computing solutions that keep their focus on innovation, not on infrastructure, as part of the evolution of enterprise companies and research institutions
  • Helping institutions ensure access to the most optimised compute for their applications by choosing the right infrastructure options.

Sponsored By :

  • Exploring the future of Horizon 2020 and PRACE project funding during Britain’s departure from the European Union
  • Considering the opportunities that remain open to UK-based research from public and private sources
  • Fostering the growth of small to medium size enterprises in the High Performance Computing Supply Chain
  • Managing long-term projects in a changing funding landscape


  • Gaining insights from the new Data and Analytics Facility for National Infrastructure (DAFNI) programme
  • Conducting long-term decision analysis in interdependent infrastructure systems
  • Developing risk modelling techniques focusing upon environmental factors to minimise the impact of Geohazards and climate change on transport networks
  • Big data analysis of the use of infrastructure systems and gaining a new understanding of pressures on national infrastructure

  • Using ARCHER super-computing service to model the Ganges river delta in order to understand how water levels and salinity could be affected by climate change
  • Examining the process of developing an integrated model which could take into human factors into account alongside those of the physical environment
  • Illustrating the benefits of simulation to researchers examining the future of level, salinity and make up of river channels in the delta

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3:30 pm
4:00 pm
Ethical Analytics: Using Data without Breaching Privacy
  • Considering the challenges of working with new kinds of data; including consent, privacy and patient privilege
  • Practicing good governance in the mining, management and analysis of user-created data
  • Exploring the growing use of health records for research purpose
  • Devising actionable recommendations for ethical research practice
4:00 pm
4:10 pm
Questions and Answers
4:10 pm
4:40 pm
Towards Visual Intelligence: Exploring the Application of Modern Machine Learning Methods in Computer Vision Research
  • Asking what is (and what is not) visual data: machine versus human perspective
  • How do we teach computers ‘to see’? Working towards systems which can learn concepts from visual data with a human teacher
  • Considering how deep-learning methods can be employed to enhance a systems’ capacity to recognised objects, context, actions and emotions
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3:30 pm
4:00 pm
The Future is Parallel: Assessing the Impact of Hierarchical Memory on the Design of Parallel Algorithms and the Expression of Parallelism

• Providing an overview of past and recent trends in the landscape of high performance computing
• Reviewing the interplay of application design, the expression of parallelism, and data movement across hierarchical memory
• Exploring parallel programming paradigms and algorithms, and how these might change in the era of exascale computing

4:00 pm
4:10 pm
Questions and Answers
4:10 pm
4:40 pm
Towards Green Aviation with Python at Petascale
  • Accurate simulation of unsteady turbulent flow in the vicinity of complex geometric configurations is critical for improved design of e.g. turbine stages, and hence ‘greener’ aircraft that are more fuel-efficient.
  • Will demonstrate application of PyFR, a high-order accurate Python based computational fluid dynamics solver, to petascale simulation of flow over low-pressure turbine linear cascades.
  • Rationale behind algorithmic choices, which offer increased levels of accuracy and enable sustained computation at up to 13.7 DP-PFLOP/s on unstructured grids, will be discussed in the context of modern hardware.
  • A range of software innovations will also be detailed, including use of runtime code generation, which enables PyFR to efficiently target multiple platforms, including heterogeneous systems, via a single implementation.