EXALAT School: A pedestrian introduction to executable binaries
Virtual School, Monday-Friday 01-05.03.2021 Course description:Writing efficient code for high-performance computers requires knowledge of the inner workings of computer hardware. In this module attendees will...
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EXALAT School: GPU coding for lattice practitioners
Virtual School Monday and Tuesday, 15-16.02.2021 Course description:This two-day course will provide an introduction to GPU computing with CUDA aimed at researchers in Lattice Quantum...
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Exalat Benchmarking Meeting — 8th of September, 2 – 4 BST
Benchmarking is one of the four strands that in the EXALAT inaugural workshop have emerged as strategically very important for Lattice Gauge Theory towards the...
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Exalat Algorithm Meeting — Wednesday 19.08, 2-3pm BST
One of the work packages identified in our proposal is Algorithms. We invite you to a first dedicated (virtual) discussion that will contribute to the definition of...
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About EXALAT

EXALAT is the EPSRC-funded research project on Lattice Field Theory at the Exascale Frontier.

Lattice Field Theory (LFT) provides the tools to study the dynamics of quantum systems in strongly coupled regimes that are not accessible to the usual perturbative expansions. Applications span a wide range of topics:

  • Quantum Chromodynamics (QCD), the theory describing the strong nuclear force within the Standard Model (SM) of particle physics.
  • theories beyond the Standard Model
  • low-dimensional strongly coupled fermionic models
  • study of new cosmological paradigms.

The advent of pre-Exascale and Exascale systems will allow us to expand the science programme in LFT, increasing the scientific impact of the UK programme. EXALAT will

  • develop a roadmap for a broad community to exploit exascale facilities by the mid-2020s
  • provide benchmarks and identify bottlenecks
  • develop novel algorithms to attack signal-to-noise issues, multigrid inverters, instabilities in current algorithms and new directions based on artificial intelligence.

EXALAT is lead by: