Allen: A High-Level Trigger on GPUs for LHCb
Тип публикации: Journal Article
Дата публикации: 2020-04-30
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SCImago Q1
Tоп 10% SCImago
БС1
SJR: 2.055
CiteScore: 6.5
Impact factor: —
ISSN: 25102036, 25102044
PubMed ID:
33385105
Computer Science (miscellaneous)
Nuclear and High Energy Physics
Software
Краткое описание
We describe a fully GPU-based implementation of the first level trigger for the upgrade of the LHCb detector, due to start data taking in 2021. We demonstrate that our implementation, named Allen, can process the 40 Tbit/s data rate of the upgraded LHCb detector and perform a wide variety of pattern recognition tasks. These include finding the trajectories of charged particles, finding proton–proton collision points, identifying particles as hadrons or muons, and finding the displaced decay vertices of long-lived particles. We further demonstrate that Allen can be implemented in around 500 scientific or consumer GPU cards, that it is not I/O bound, and can be operated at the full LHC collision rate of 30 MHz. Allen is the first complete high-throughput GPU trigger proposed for a HEP experiment.
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Aaij R. et al. Allen: A High-Level Trigger on GPUs for LHCb // Computing and Software for Big Science. 2020. Vol. 4. No. 1. 7
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Aaij R., Albrecht J., Belous M., Billoir P., Boettcher T., Brea Rodriguez A., Vom Bruch D., Campora Perez D., Casais Vidal A., Craik D., Fernandez Declara P., Funke L., Gligorov V., Jashal B., Kazeev N., Martinez Santos D., Pisani F., Pliushchenko D., Popov S., Quagliani R., Rangel M., Reiss F., Sanchez Mayordomo C., Schwemmer R., Sokoloff M., Stevens H., Ustyuzhanin A., Vilasís Cardona X., Williams M. Allen: A High-Level Trigger on GPUs for LHCb // Computing and Software for Big Science. 2020. Vol. 4. No. 1. 7
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TY - JOUR
DO - 10.1007/s41781-020-00039-7
UR - https://doi.org/10.1007/s41781-020-00039-7
TI - Allen: A High-Level Trigger on GPUs for LHCb
T2 - Computing and Software for Big Science
AU - Aaij, R.
AU - Albrecht, J
AU - Belous, M
AU - Billoir, P.
AU - Boettcher, T.
AU - Brea Rodriguez, A.
AU - Vom Bruch, Dorothea
AU - Campora Perez, D. H.
AU - Casais Vidal, A.
AU - Craik, D. C.
AU - Fernandez Declara, P.
AU - Funke, L.
AU - Gligorov, V. V.
AU - Jashal, B
AU - Kazeev, N.
AU - Martinez Santos, D.
AU - Pisani, F.
AU - Pliushchenko, D
AU - Popov, S.
AU - Quagliani, R.
AU - Rangel, M.
AU - Reiss, F
AU - Sanchez Mayordomo, C.
AU - Schwemmer, R.
AU - Sokoloff, M.
AU - Stevens, H.
AU - Ustyuzhanin, A.
AU - Vilasís Cardona, X
AU - Williams, Matthew
PY - 2020
DA - 2020/04/30
PB - Springer Nature
IS - 1
VL - 4
PMID - 33385105
SN - 2510-2036
SN - 2510-2044
ER -
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BibTex (до 50 авторов)
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@article{2020_Aaij,
author = {R. Aaij and J Albrecht and M Belous and P. Billoir and T. Boettcher and A. Brea Rodriguez and Dorothea Vom Bruch and D. H. Campora Perez and A. Casais Vidal and D. C. Craik and P. Fernandez Declara and L. Funke and V. V. Gligorov and B Jashal and N. Kazeev and D. Martinez Santos and F. Pisani and D Pliushchenko and S. Popov and R. Quagliani and M. Rangel and F Reiss and C. Sanchez Mayordomo and R. Schwemmer and M. Sokoloff and H. Stevens and A. Ustyuzhanin and X Vilasís Cardona and Matthew Williams},
title = {Allen: A High-Level Trigger on GPUs for LHCb},
journal = {Computing and Software for Big Science},
year = {2020},
volume = {4},
publisher = {Springer Nature},
month = {apr},
url = {https://doi.org/10.1007/s41781-020-00039-7},
number = {1},
pages = {7},
doi = {10.1007/s41781-020-00039-7}
}
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