GeantV: Results from the Prototype of Concurrent Vector Particle Transport Simulation in HEP

Journal Article · 03 January 2021 · Computing and Software for Big Science

DOI: https://doi.org/10.1007/s41781-020-00048-6 · OSTI ID:1755443

Amadio, G.; Ananya, A.; Apostolakis, J.; Bandieramonte, M.; Banerjee, S.; Bhattacharyya, A.; Bianchini, C.; Bitzes, G.; Canal, P.; Carminati, F.; Chaparro-Amaro, O.; Cosmo, G.; De Fine Licht, J. C.; Drogan, V.; Duhem, L.; Elvira, D.; Fuentes, J.; Gheata, A.; Gheata, M.; Gravey, M. ; Goulas, I.; Hariri, F.; Jun, S. Y.; Konstantinov, D.; Kumawat, H.; Lima, J. G.; Maldonado-Romo, A.; Martínez-Castro, J.; Mato, P.; Nikitina, T.; Novaes, S.; Novak, M.; Pedro, K.; Pokorski, W.; Ribon, A.; Schmitz, R.; Seghal, R.; Shadura, O.; Tcherniaev, E.; Vallecorsa, S.; Wenzel, S.; Zhang, Y.

Full detector simulation was among the largest CPU consumers in all CERN experiment software stacks for the first two runs of the Large Hadron Collider. In the early 2010s, it was projected that simulation demands would scale linearly with increasing luminosity, with only partial compensation from increasing computing resources. The extension of fast simulation approaches to cover more use cases that represent a larger fraction of the simulation budget is only part of the solution, because of intrinsic precision limitations. The remainder corresponds to speeding up the simulation software by several factors, which is not achievable by just applying simple optimizations to the current code base. In this context, the GeantV R&D project was launched, aiming to redesign the legacy particle transport code in order to benefit from features of fine-grained parallelism, including vectorization and increased locality of both instruction and data. This paper provides an extensive presentation of the results and achievements of this R&D project, as well as the conclusions and lessons learned from the beta version prototype.

• Research Organization: Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
• Sponsoring Organization: FUNDUNESP; USDOE Office of Science (SC), High Energy Physics (HEP)
• Grant/Contract Number: AC02-07CH11359
• OSTI ID: 1755443
• Report Number(s): FERMILAB-PUB--20-200-SCD; 3; PII: 48
• Journal Information: Computing and Software for Big Science, Journal Name: Computing and Software for Big Science Journal Issue: 1 Vol. 5; ISSN 2510-2036
• Publisher: SpringerCopyright Statement
• Country of Publication: Germany
• Language: English