SoftWare InFrastructure and Technology for High Energy Physics experiments (SWIFT-HEP)
Lead Research Organisation:
University of Warwick
Department Name: Physics
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
People |
ORCID iD |
| Ben Morgan (Principal Investigator) | |
| Timothy Martin (Researcher) |
Publications
Amadio G
(2023)
Offloading electromagnetic shower transport to GPUs
in Journal of Physics: Conference Series
Apostolakis J
(2022)
Detector Simulation Challenges for Future Accelerator Experiments
in Frontiers in Physics
| Description | ExaTEPP: Theoretical and Experimental Particle Physics at the Exascale Frontier |
| Amount | £161,026 (GBP) |
| Funding ID | EP/X019349/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2022 |
| End | 11/2024 |
| Description | HEP community collaboration on R&D for detector simulation on GPU accelerators |
| Organisation | European Organization for Nuclear Research (CERN) |
| Department | Physics Department |
| Country | Switzerland |
| Sector | Academic/University |
| PI Contribution | Design and development of algorithms for data flow and electromagnetic physics processes for detector simulation on GPU accelerators. |
| Collaborator Contribution | Design and development of algorithms for data flow and electromagnetic physics processes for detector simulation on GPU accelerators. |
| Impact | Demonstrator code and applications for benchmarking physics and throughput performance. |
| Start Year | 2020 |
| Description | HEP community collaboration on R&D for detector simulation on GPU accelerators |
| Organisation | Fermilab - Fermi National Accelerator Laboratory |
| Country | United States |
| Sector | Public |
| PI Contribution | Design and development of algorithms for data flow and electromagnetic physics processes for detector simulation on GPU accelerators. |
| Collaborator Contribution | Design and development of algorithms for data flow and electromagnetic physics processes for detector simulation on GPU accelerators. |
| Impact | Demonstrator code and applications for benchmarking physics and throughput performance. |
| Start Year | 2020 |
| Description | HEP community collaboration on R&D for detector simulation on GPU accelerators |
| Organisation | Oak Ridge National Laboratory |
| Country | United States |
| Sector | Public |
| PI Contribution | Design and development of algorithms for data flow and electromagnetic physics processes for detector simulation on GPU accelerators. |
| Collaborator Contribution | Design and development of algorithms for data flow and electromagnetic physics processes for detector simulation on GPU accelerators. |
| Impact | Demonstrator code and applications for benchmarking physics and throughput performance. |
| Start Year | 2020 |
| Title | Celeritas |
| Description | Celeritas is a new Monte Carlo transport code designed for high-performance simulation of high-energy physics detectors. |
| Type Of Technology | Software |
| Year Produced | 2022 |
| Open Source License? | Yes |
| Impact | Demonstrates feasibility of running HEP detector simulation workflows on GPU accelerators. Studies underway by CMS and ATLAS experiments of use of the toolkit in their simulation workflows and potential throughput improvements. |
| URL | https://www.osti.gov/doecode/biblio/94866 |
| Description | HSF Detector Simulation on GPU Community Meeting |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | Engagement with HEP experiment stakeholders to report on status of R&D on detector simulation on GPUs and gather input and feedback on their requirements. Valuable information and discussion on experiment specific topics, which lead to further interest and involvement with/by experiment members to test and develop the software towards production capability. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://indico.cern.ch/event/1123314/ |