Completed Physics & Astronomy Computing & AI

DiRAC BlueGene/Q Upgrade

In plain English

AI plain-English summary

The BlueGene/Q supercomputer serving the UK’s DiRAC Consortium is getting a 50% boost in computing power to keep it internationally competitive for particle physics and astrophysics simulations. This matters because the most demanding calculations in fundamental science—simulating the strong force that binds quarks and gluons inside protons, or modelling the hot, dense matter of the early universe—require machines that can crunch numbers at an extreme scale. Without this upgrade, UK researchers would lose the ability to run high-precision simulations of Standard Model processes, which are essential for comparing theory against experimental data from particle colliders. Those comparisons are how physicists hunt for signs of new physics beyond current understanding. The upgrade is purely for fundamental science. It will not directly change a product or service tomorrow. But the same kind of large-scale simulation work has historically underpinned advances in materials design, climate modelling, and data-analysis techniques that later found their way into industry. If the simulations succeed, they could sharpen the search for undiscovered particles and deepen understanding of how galaxies, stars, and the masses of elementary particles arise—knowledge that often seeds unexpected applications decades later.

View original technical description
The BlueGene/Q computer that serves the DiRAC Consortium will be upgraded to increase its compute capability by 50% to ensure that it remains an internationally competitive supercomputer for as long as possible, enabling UK scientists to carry out the most demanding simulations in particle physics and astrophysics. The BlueGene/Q architecture has been designed to enable highly energy-efficient and compute-intensive simulations of the strong force between quarks and gluons, and it will be used primarily for high precision calculations of Standard Model processes that can be compared with experimental measurements to search for signals of new physics. It will also be used to explore nuclear matter at high temperatures and densities, to understand the origin of the masses of elementary particles, and for a range of astrophysics simulations related to cosmology, galaxy and star formation.

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Researchers

Peter Boyle (Co-Investigator)Richard Kenway (Principal Investigator)

Related Research

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DiRAC-2.5 DC - Operations 2017-2020

Original classification

Research Grant

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