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ExCALIBUR-HEP

Lead Research Organisation: Imperial College London
Department Name: Physics

Abstract

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Description The resources provided were used to design and develop a working group that will help towards the software challenges expected in the next decade for particle physics experiments. Particle physics experiments have a large software and computing infrastructure that is needed to collect, store, curate and analyse the data collected and to simulate the experiment behaviour to compare it with theory. One area the wider proposal addressed was the challenge of writing software for FPGAs using high level languages and developing more complex algorithms for particle reconstruction. A production level workload was benchmarked and the computationally intensive areas identified. These were studied very carefully and a deep and quantitative understanding of the challenges was obtained. As part of the project we also engaged with the Intel FPGA group, including receiving a briefing on new technologies and discussions on joint areas of work for the future.
Exploitation Route Existing techniques do not appear to offer a ready solution and avenues for further study, for example using Artificial Intelligence techniques (Graph Neural Networks), have been identified and will be pursued in the context of future applications.
Sectors Digital/Communication/Information Technologies (including Software)

 
Description SoftWare InFrastructure and Technology for High Energy Physics experiments (2020) at Imperial
Amount £57,173 (GBP)
Funding ID ST/V005936/1 
Organisation Science and Technologies Facilities Council (STFC) 
Sector Public
Country United Kingdom
Start 09/2020 
End 03/2022
 
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
 
Description Parallel computing training school 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Postgraduate students
Results and Impact We organised a training school on parallel programming and data parallelism, in collaboration with another working group in the ExCalibur project and The Hartree Centre. The school was primarily for post-graduate students and early career researchers, but open to all. It was advertised widely in the UK particle physics and lattice QCD communities. A bespoke set of courses and exercises was developed addressing techniques of particular relevance to the two fields of the working groups. Due to the Covid pandemic the school was held by video conference. Feedback was very good, with those who completed the course finding it very helpful. This is a key area looking forward to data processing with accelerators (GPUs, FPGAs etc.) especially and we aim to build on this for the future. Around 10-20 people attended.
Year(s) Of Engagement Activity 2021