CEPC-on-Gaussino: an application of Gaussino simulation framework for CEPC experiment
Tao Lin, Weidong Li, Xingtao Huang, Teng Li, Ziyan Deng, Chengdong Fu,, Jiaheng Zou

TL;DR
This paper presents the adaptation of the Gaussino simulation framework, originally from LHCb, for the CEPC experiment to enable parallel computing and improve simulation efficiency.
Contribution
It introduces the application of Gaussino to CEPC, demonstrating the development of a prototype and simulation of a tracker detector.
Findings
Gaussino framework supports parallel computing for CEPC simulations.
A prototype for CEPC-on-Gaussino has been developed.
Simulation of a tracker detector demonstrates feasibility.
Abstract
The Circular Electron Positron Collider (CEPC) is a future Higgs factory to measure the Higgs boson properties. Like the other future experiments, the simulation software plays a crucial role in CEPC for detector designs, algorithm optimization and physics studies. Due to similar requirements, the software stack from the Key4hep project has been adopted by CEPC. As the initial application of Key4hep, a simulation framework has been developed for CEPC based on DD4hep, EDM4hep and k4FWCore since 2020. However, the current simulation framework for CEPC lacks support for the parallel computing. To benefit from the multi-threading techniques, the Gaussino project from the LHCb experiment has been chosen as the next simulation framework in Key4hep. This contribution presents the application of Gaussino for CEPC. The development of the CEPC-on-Gaussino prototype will be shown and the…
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Taxonomy
TopicsDistributed and Parallel Computing Systems · Parallel Computing and Optimization Techniques
