SoftWare InFrastructure and Technology for High Energy Physics experiments (2020) at Imperial
Lead Research Organisation:
Imperial College London
Department Name: Physics
Abstract
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Publications
Barbone M
(2023)
Demonstration of FPGA Acceleration of Monte Carlo Simulation
in Journal of Physics: Conference Series
Que Z
(2024)
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics
in ACM Transactions on Embedded Computing Systems
| Description | Collaboration with Intel UK |
| Organisation | Intel Corporation |
| Department | Intel Corporation (UK) Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | We explained the challenges that experimental particle physics faces in coming decade with new and upgraded experiments generating significantly increased volumes of data and in particular the realtime processing challenge associated with this data. Giving Intel insight into an expanding market, in particular for their FPGA offerings which are not widely used in our field. In the last year we have identified four areas of collaboration with Intel: 1. Training in OneAPI -- we have worked together to produce and present training material for CDT and MRes students. 2. Acceleration of MaCh3 neutrino oscillation analysis code. Intel have provided a hardware board for prototyping and engineering effort to port the analysis package to use the hardware. 3. Initial discussions on high-speeds links for a custom smart switch have started. This links with the DRD7 project in the UK and internationally. 4. Initial discussions on working with Intel on quantum computing applications for particle physics have started. Intel will offer training sessions from engineers in the US. |
| Collaborator Contribution | Intel UK briefed us on their newest FPGA technology and plans. They also made available their beta-cloud facility for prototyping and made engineers available to assist. Recently Intel have engaged with us in the areas listed above. |
| Impact | The main outcome is the establishing of a connection between the partners and briefing each other on challenges and potential solutions and joint participation in workshops. In the future we intend to collaborate more closely via hackathons to drive the collaboration forward to concrete results. |
| Start Year | 2021 |