Enabling Large Scale Simulations for Particle Accelerators

International high-energy particle physics research centers, like CERN and Fermilab, require excessive studies and simulations to plan for the upcoming upgrades of the world's largest particle accelerators, and the design of future machines given the technological challenges and tight budgetary...

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Bibliographic Details
Published in:IEEE transactions on parallel and distributed systems 2022-12, Vol.33 (12), p.4425-4439
Main Authors: Iliakis, Konstantinos, Timko, Helga, Xydis, Sotirios, Tsapatsaris, Panagiotis, Soudris, Dimitrios
Format: Article
Language:English
Subjects:
accelerator physics
approximate computing
Computational modeling
Constraint modelling
Design optimization
Distributed systems
Dynamic loads
Dynamics
GPU acceleration
Large Hadron Collider
network traffic optimisation
Particle accelerators
Particle beams
Particle physics
Physics
Radio frequency
Research facilities
Simulation
Synchronism
Synchrotrons
Voltage
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Summary:International high-energy particle physics research centers, like CERN and Fermilab, require excessive studies and simulations to plan for the upcoming upgrades of the world's largest particle accelerators, and the design of future machines given the technological challenges and tight budgetary constraints. The Beam Longitudinal Dynamics (BLonD) simulator suite incorporates the most detailed and complex physics phenomena in the field of longitudinal beam dynamics, required for providing extremely accurate predictions. Modern challenges in beam dynamics dictate for longer, larger and numerous simulation studies to draw meaningful conclusions that will drive the baseline choices for the daily operation of current machines and the design choices of future projects. These studies are extremely time consuming, and would be impractical to perform without a High-Performance Computing oriented simulator framework. In this article, at first, we design and evaluate a highly-optimized distributed version of BLonD. We combine approximate computing techniques, and leverage a dynamic load-balancing scheme to relax synchronization and improve scalability. In addition, we employ GPUs to accelerate the distributed implementation. We evaluate the highly optimized distributed beam longitudinal dynamics simulator in a supercomputing system and demonstrate speedups of more than two orders of magnitude when run on 32 GPU platforms, w.r.t. the previous state-of-art. By driving a wide range of new studies, the proposed high performance beam longitudinal dynamics simulator forms an invaluable tool for accelerator physicists.
ISSN:1045-9219
1558-2183
DOI:10.1109/TPDS.2022.3192707