SWIFT-HEP Phase 1.5
Lead Research Organisation:
University of Warwick
Department Name: Physics
Abstract
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Organisations
- University of Warwick (Lead Research Organisation)
- Rutherford Appleton Laboratory (Collaboration)
- Argonne National Laboratory (Collaboration)
- European Organization for Nuclear Research (CERN) (Collaboration)
- Lawrence Berkeley National Laboratory (Collaboration)
- Oak Ridge National Laboratory (Collaboration)
- Fermilab - Fermi National Accelerator Laboratory (Collaboration)
People |
ORCID iD |
| Ben Morgan (Principal Investigator) |
| Description | ACTS Project |
| Organisation | European Organization for Nuclear Research (CERN) |
| Country | Switzerland |
| Sector | Academic/University |
| PI Contribution | Development and profiling of Track Finding algorithms utilising the Alpaka software for portability across GPU/Accelerator devices |
| Collaborator Contribution | Co-working on profiling, feedback and training, general support for the underlying software. |
| Impact | Integration of Alpaka-based algorithms into traccc component of ACTS |
| Start Year | 2023 |
| Description | ACTS Project |
| Organisation | Rutherford Appleton Laboratory |
| Department | Particle Physics Department |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Development and profiling of Track Finding algorithms utilising the Alpaka software for portability across GPU/Accelerator devices |
| Collaborator Contribution | Co-working on profiling, feedback and training, general support for the underlying software. |
| Impact | Integration of Alpaka-based algorithms into traccc component of ACTS |
| Start Year | 2023 |
| Description | HEP community collaboration on R&D for detector simulation on GPU accelerators |
| Organisation | Argonne 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. AdePT and Celeritas software for GPU transport of EM particles on NVIDIA/AMD GPUs. Particle Physics, Computer Science, Nuclear Engineering. |
| Start Year | 2020 |
| 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. AdePT and Celeritas software for GPU transport of EM particles on NVIDIA/AMD GPUs. Particle Physics, Computer Science, Nuclear Engineering. |
| 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. AdePT and Celeritas software for GPU transport of EM particles on NVIDIA/AMD GPUs. Particle Physics, Computer Science, Nuclear Engineering. |
| Start Year | 2020 |
| Description | HEP community collaboration on R&D for detector simulation on GPU accelerators |
| Organisation | Lawrence Berkeley 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. AdePT and Celeritas software for GPU transport of EM particles on NVIDIA/AMD GPUs. Particle Physics, Computer Science, Nuclear Engineering. |
| 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. AdePT and Celeritas software for GPU transport of EM particles on NVIDIA/AMD GPUs. Particle Physics, Computer Science, Nuclear Engineering. |
| Start Year | 2020 |
| Title | AdePT : Accelerated demonstrator of electromagnetic Particle Transport |
| Description | Implementation of particle transport algorithms for electrons, positrons and photons on NVIDIA GPU accelerators targeting detector simulation of HEP experiments. |
| Type Of Technology | Software |
| Year Produced | 2023 |
| Open Source License? | Yes |
| Impact | Software is currently in R&D, with testing by the CMS, ATLAS and LHCb experiments for future use in production. Alongside Celeritas project, has increased interest in use of GPUs and SIMT methods for detector simulation in HEP. |
| URL | https://github.com/apt-sim/adept |
| 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 |
| Title | acts-project/acts: v33.0.0 |
| Description | Experiment-independent toolkit for (charged) particle track reconstruction in (high energy) physics experiments implemented in modern C++ |
| Type Of Technology | Software |
| Year Produced | 2024 |
| Open Source License? | Yes |
| Impact | Implemented Alpaka-based tracking finding algorithms in the traccc subcomponent of ACTS |
| URL | https://zenodo.org/doi/10.5281/zenodo.10784831 |