GeantV: Results from the prototype of concurrent vector particle transport simulation in HEP
Abstract
Full detector simulation was among the largest CPU consumer in all CERN experiment software stacks for the first two runs of the Large Hadron Collider (LHC). In the early 2010's, the projections were that simulation demands would scale linearly with luminosity increase, compensated only partially by an increase of computing resources. The extension of fast simulation approaches to more use cases, covering a larger fraction of the simulation budget, is only part of the solution due to intrinsic precision limitations. The remainder corresponds to speeding-up the simulation software by several factors, which is out of reach using simple optimizations on the current code base. In this context, the GeantV R&D project was launched, aiming to redesign the legacy particle transport codes in order to make them benefit from fine-grained parallelism features such as vectorization, but also from increased code and data locality. This paper presents extensively the results and achievements of this R&D, as well as the conclusions and lessons learnt from the beta prototype.
Keywords
Cite
@article{arxiv.2005.00949,
title = {GeantV: Results from the prototype of concurrent vector particle transport simulation in HEP},
author = {G. Amadio and A. Ananya and J. Apostolakis and M. Bandieramonte and S. Banerjee and A. Bhattacharyya and C. Bianchini and G. Bitzes and P. Canal and F. Carminati and O. Chaparro-Amaro and G. Cosmo and J. C. De Fine Licht and V. Drogan and L. Duhem and D. Elvira and J. Fuentes and A. Gheata and M. Gheata and M. Gravey and I. Goulas and F. Hariri and S. Y. Jun and D. Konstantinov and H. Kumawat and J. G. Lima and A. Maldonado-Romo and J. Martínez-Castro and P. Mato and T. Nikitina and S. Novaes and M. Novak and K. Pedro and W. Pokorski and A. Ribon and R. Schmitz and R. Seghal and O. Shadura and E. Tcherniaev and S. Vallecorsa and S. Wenzel and Y. Zhang},
journal= {arXiv preprint arXiv:2005.00949},
year = {2020}
}
Comments
34 pages, 26 figures, 24 tables