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  • 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

  • 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

  • Exploring the horizons of computational Science – Quantum Computing and beyond
  • Building strong relationships between research and industry to advance innovation and develop the UK’s computing capabilities
  • Architecting secure and easy to access networks and harnessing cloud to allow for greater use of HPC facilities
  • Understanding the latest advances in infrastructure and hardware to improve power, speed and energy efficiency

  • Adopting modern practices in big data analytics to deliver more accurate models and more precise results
  • Examining the power of Machine and Deep learning solutions to harness the power of artificial intelligence
  • Disambiguating big data and rich data – mapping the intersection between data’s value and volume

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3:30 pm
4:00 pm
Exploring How The European Space Agency Mines, Monitors And Harnesses Big Data To Develop AI Tools
  • Hosting data from 15 missions with each one of them outputting roughly 1.3 Terabytes of uncompressed data to Earth
  • Managing the continual flow of satellite data to monitor crafts’ status and behaviour in real time to identify causes and effects while anomalies occur
  • Using machine learning, and embedding AI for early detection of changes in mission behavior to streamline feedback to operators
4:00 pm
4:30 pm
Stream Sponsor
4:30 pm
5:00 pm
Turning Comments into Data: Using Natural Language Processing to Interrogate Survey Results
  • Analysing responses Civil Service People’s Survey sent out to 400,000 civil servants
  • Using LDA natural language processing methods to analyse open-text comments
  • Aggregating data to identify underlying themes within participant’s responses.
  • Creating focused data to enable targeted actions and changes
  • Using the R Shiny package to facilitate data visualisation
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3:30 pm
4:00 pm
The Future is Parrallel: Assessing the Impact of Hierarchical Memory on the Design of Parallel Algorithms and the Expression of Parallelism

• Identifying the recurring properties of memory that we need to reason in a proof-carrying code system
• Reviewing the interplay of application design, the expression of parallelism, and data movement across hierarchical memory
• Exploring the findings of a brief survey of parallel programming paradigms and algorithms, and how these might change in the era of exascale computing

4:00 pm
4:30 pm
Stream Sponsor
4:30 pm
5:00 pm
Insights into Hypeflux’s Design: Using High Order Methods (HOMS) to Speed up the Design Cycle, Reduce Costs and Improve Products
  • Using High-order methods to provide a potential solution, providing higher fidelity solutions than currently achievable with low-order schemes on unstructured grids
  • Creating a prototype software for industrial evaluation, Hyperflux will be a shared software tool that will embody the latest in HPC
  • Working with technical specialists at the Centre for Modelling & Simulation (CFMS) and cloud high performance computing (HPC) specialists to create a prototype software base for industrial evaluation
5:00 pm
Drinks Reception