1–6 Jun 2025
Taipei International Convention Center (TICC)
Asia/Taipei timezone

Performance improvements and code integration of ACE3P with Geant4 and LUME

WEPS127
4 Jun 2025, 16:00
2h
Exhibiton Hall A _Salmon (TWTC)

Exhibiton Hall A _Salmon

TWTC

Poster Presentation MC5.D11 Code Developments and Simulation Techniques Wednesday Poster Session

Speaker

David Bizzozero (SLAC National Accelerator Laboratory)

Description

The Advanced Computational Electromagnetic 3D Parallel simulation suite (ACE3P), developed by SLAC National Accelerator Laboratory, is a state-of-the-art multi-physics toolkit designed for virtual prototyping of accelerator and RF components. Leveraging over two decades of development, ACE3P integrates advanced physics modeling, including thermal and structural modeling, capabilities with scalable numerical algorithms to deliver cutting-edge simulations. The suite, comprised of seven application modules, utilizes high-order curved finite element methods to achieve high accuracy while enabling fast simulations for large-scale problems.
Two recent advancements include the integration with Geant4, for radiation studies and positron source generation, and the development of LUME-ACE3P, built on the Python framework of the LUME project*, which streamlines parameter sweeps and optimization tasks. Furthermore, recent code optimizations have increased the performance of ACE3P for large-scale computations on modern supercomputers. We present a real accelerator project study with ACE3P to demonstrate its scalability and efficiency conducted on NERSC supercomputers.

Funding Agency

This work is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.

Footnotes

  • C. E. Mayes et al, “Lightsource unified modeling environment (LUME), a start-to-end simulation ecosystem”, Proc. of IPAC 2021.
Region represented America
Paper preparation format Word

Author

David Bizzozero (SLAC National Accelerator Laboratory)

Co-authors

Cho-Kuen Ng (SLAC National Accelerator Laboratory) Liling Xiao (SLAC National Accelerator Laboratory) Lixin Ge (SLAC National Accelerator Laboratory) Mohamed Othman (SLAC National Accelerator Laboratory) Zenghai Li (SLAC National Accelerator Laboratory)

Presentation materials

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