Allen: A High-Level Trigger on GPUs for LHCb

R. Aaij; J. Albrecht; M. Belous; P. Billoir; T. Boettcher; A. Brea Rodríguez; D. vom Bruch; D. H. Cámpora Pérez; A. Casais Vidal; D. C. Craik; P. Fernandez Declara; L. Funke; V. V. Gligorov; B. Jashal; N. Kazeev; D. Martínez Santos; F. Pisani; D. Pliushchenko; S. Popov; R. Quagliani; M. Rangel; F. Reiss; C. Sánchez Mayordomo; R. Schwemmer; M. Sokoloff; H. Stevens; A. Ustyuzhanin; X. Vilasís Cardona; M. Williams

doi:10.1007/s41781-020-00039-7

Allen: A High-Level Trigger on GPUs for LHCb

R. Aaij, J. Albrecht, M. Belous, P. Billoir, T. Boettcher, A. Brea Rodríguez, D. vom Bruch, D. H. Cámpora Pérez, A. Casais Vidal, D. C. Craik, P. Fernandez Declara, L. Funke, V. V. Gligorov, B. Jashal, N. Kazeev, D. Martínez Santos, F. Pisani, D. Pliushchenko, S. Popov, R. QuaglianiM. Rangel, F. Reiss, C. Sánchez Mayordomo, R. Schwemmer, M. Sokoloff, H. Stevens, A. Ustyuzhanin, X. Vilasís Cardona, M. Williams

Facultad Internacional de Comercio y Economía Digital La Salle

Producción científica: Artículo en revista indizada › Artículo › revisión exhaustiva

40 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Número de artículo	7
Publicación	Computing and Software for Big Science
Volumen	4
N.º	1
DOI	https://doi.org/10.1007/s41781-020-00039-7
Estado	Publicada - dic 2020

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Aaij, R., Albrecht, J., Belous, M., Billoir, P., Boettcher, T., Brea Rodríguez, A., vom Bruch, D., Cámpora Pérez, D. H., Casais Vidal, A., Craik, D. C., Fernandez Declara, P., Funke, L., Gligorov, V. V., Jashal, B., Kazeev, N., Martínez Santos, D., Pisani, F., Pliushchenko, D., Popov, S., ... Williams, M. (2020). Allen: A High-Level Trigger on GPUs for LHCb. Computing and Software for Big Science, 4(1), Artículo 7. https://doi.org/10.1007/s41781-020-00039-7

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title = "Allen: A High-Level Trigger on GPUs for LHCb",

abstract = "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.",

keywords = "GPU, LHCb, Real-time data selection, Trigger",

author = "R. Aaij and J. Albrecht and M. Belous and P. Billoir and T. Boettcher and {Brea Rodr{\'i}guez}, A. and {vom Bruch}, D. and {C{\'a}mpora P{\'e}rez}, {D. H.} and {Casais Vidal}, A. and Craik, {D. C.} and {Fernandez Declara}, P. and L. Funke and Gligorov, {V. V.} and B. Jashal and N. Kazeev and {Mart{\'i}nez Santos}, D. and F. Pisani and D. Pliushchenko and S. Popov and R. Quagliani and M. Rangel and F. Reiss and {S{\'a}nchez Mayordomo}, C. and R. Schwemmer and M. Sokoloff and H. Stevens and A. Ustyuzhanin and {Vilas{\'i}s Cardona}, X. and M. Williams",

note = "Publisher Copyright: {\textcopyright} 2020, The Author(s).",

year = "2020",

month = dec,

doi = "10.1007/s41781-020-00039-7",

language = "English",

volume = "4",

journal = "Computing and Software for Big Science",

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Aaij, R, Albrecht, J, Belous, M, Billoir, P, Boettcher, T, Brea Rodríguez, A, vom Bruch, D, Cámpora Pérez, DH, Casais Vidal, A, Craik, DC, Fernandez Declara, P, Funke, L, Gligorov, VV, Jashal, B, Kazeev, N, Martínez Santos, D, Pisani, F, Pliushchenko, D, Popov, S, Quagliani, R, Rangel, M, Reiss, F, Sánchez Mayordomo, C, Schwemmer, R, Sokoloff, M, Stevens, H, Ustyuzhanin, A, Vilasís Cardona, X & Williams, M 2020, 'Allen: A High-Level Trigger on GPUs for LHCb', Computing and Software for Big Science, vol. 4, n.º 1, 7. https://doi.org/10.1007/s41781-020-00039-7

TY - JOUR

T1 - Allen

T2 - A High-Level Trigger on GPUs for LHCb

AU - Aaij, R.

AU - Albrecht, J.

AU - Belous, M.

AU - Billoir, P.

AU - Boettcher, T.

AU - Brea Rodríguez, A.

AU - vom Bruch, D.

AU - Cámpora Pérez, 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 - Martínez Santos, D.

AU - Pisani, F.

AU - Pliushchenko, D.

AU - Popov, S.

AU - Quagliani, R.

AU - Rangel, M.

AU - Reiss, F.

AU - Sánchez Mayordomo, C.

AU - Schwemmer, R.

AU - Sokoloff, M.

AU - Stevens, H.

AU - Ustyuzhanin, A.

AU - Vilasís Cardona, X.

AU - Williams, M.

PY - 2020/12

Y1 - 2020/12

N2 - 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.

AB - 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.

KW - GPU

KW - LHCb

KW - Real-time data selection

KW - Trigger

UR - http://www.scopus.com/inward/record.url?scp=85086986766&partnerID=8YFLogxK

U2 - 10.1007/s41781-020-00039-7

DO - 10.1007/s41781-020-00039-7

M3 - Article

AN - SCOPUS:85086986766

SN - 2510-2044

VL - 4

JO - Computing and Software for Big Science

JF - Computing and Software for Big Science

IS - 1

M1 - 7

ER -

Allen: A High-Level Trigger on GPUs for LHCb

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