ExCALIBUR International Extreme Data (EIED) Workshop

The First ExCALIBUR International Extreme Data (EIED) Workshop taking place from July 18 – 21 in Cambridge, UK. It is held in collaboration with ExCALIBUR, DiRAC and ESCAPE.


18 Jul 2023 - 21 Jul 2023


Cambridge, UK



The first two days of the event (18 – 19) will take the form of US exascale data tutorials. The goal of the tutorials will be to train UK scientists on two US exascale technologies: I/O and visualisation.

The I/O tutorial will be on July 18 and will be led by Scott Klasky (ORNL). The visualisation tutorial will be on July 19 and will be led by Dave Pugmire (ORNL).

The EIED Workshop from July 20 – 21 brings together experts from the communities of fusion science, accelerator physics, high energy physics, radio astronomy, climate, weather, computer science and data science to discuss data intensive science and possible software solutions for extreme scale science.

The desired outcome of the workshop is to share knowledge from community leaders and understand

  • central software solutions which can be used across multiple disciplines to aid in knowledge discovery
  • data requirements for next generation science
  • how new collaborations across disciplines can help us with sustainable software requirements to tackle mission critical scientific problems

We will integrate many of the ideas together in a workshop report to illustrate the critical need to bring core software technologies together to solve exascale data science.

The workshop will be in person and will feature speakers from the UK on the first day, and from several key international participations on the second day.

Registration for this event is now closed.

The tutorials will be held at the West Hub in Cambridge. The workshop will be held at the Møller Institute in Cambridge.

Catering will be provided. Accommodation can be booked at the nearby Turing Locke Hotel, Hyatt Centric Cambridge, or Møller Institute.

Some onsite parking is available. Please contact Tricia Cooper in advance at pmc47@uis.cam.ac.uk

Funder / Partner