Scientific discussion meeting organised by Professor Nicholas Higham, Laura Grigori and Professor Jack Dongarra.
A computer visualisation of Hurricane Ike shows the storm developing in the Gulf of Mexico before making landfall at the Texas coast. In times of emergency, the Texas Advanced Computing Center (TACC) serves as a hub for hazard forecasting, response and recovery.
As computer architectures evolve, numerical algorithms for high-performance computing struggle to cope with the high resolution and data intensive methods that are now key to many research fields. This meeting brings together computer and computational scientists who are developing innovative scalable algorithms and software with application scientists who need to explore and adopt the new algorithms in order to achieve peta/exascale performance.
More information on the programme and speakers will be available soon. Speaker abstracts will be available closer to the meeting. Recorded audio of the presentations will be available on this page after the meeting has taken place. Meeting papers will be published in a future issue of Philosophical Transactions of the Royal Society A.
Poster session
There will be a poster session on Monday 8 April. If you would like to apply to present a poster please submit your title, proposed abstract (not more than 200 words and in third person), author list, name of the proposed presenter and authors' institutions to the Scientific Programmes team no later than Monday 4 February 2019. Please include the text 'Poster abstract submission' and the meeting title in the subject line. Please note that places are limited and are selected at the scientific organisers' discretion. Poster abstracts will only be considered if the presenter is registered to attend the meeting.
Attending this event
This meeting is intended for researchers in relevant fields.
- Free to attend
- Limited places, advance registration essential
- An optional lunch is available to purchase during registration
Enquiries: contact the Scientific Programmes team