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 o...
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Gespeichert in:
| Autor*in: |
Aaij, R. [verfasserIn] Albrecht, J. [verfasserIn] Belous, M. [verfasserIn] Billoir, P. [verfasserIn] Boettcher, T. [verfasserIn] Brea Rodríguez, A. [verfasserIn] vom Bruch, D. [verfasserIn] Cámpora Pérez, D. H. [verfasserIn] Casais Vidal, A. [verfasserIn] Craik, D. C. [verfasserIn] Fernandez Declara, P. [verfasserIn] Funke, L. [verfasserIn] Gligorov, V. V. [verfasserIn] Jashal, B. [verfasserIn] Kazeev, N. [verfasserIn] Martínez Santos, D. [verfasserIn] Pisani, F. [verfasserIn] Pliushchenko, D. [verfasserIn] Popov, S. [verfasserIn] Quagliani, R. [verfasserIn] Rangel, M. [verfasserIn] Reiss, F. [verfasserIn] Sánchez Mayordomo, C. [verfasserIn] Schwemmer, R. [verfasserIn] Sokoloff, M. [verfasserIn] Stevens, H. [verfasserIn] Ustyuzhanin, A. [verfasserIn] Vilasís Cardona, X. [verfasserIn] Williams, M. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Übergeordnetes Werk: |
Enthalten in: Computing and software for big science - Cham, Switzerland : Springer International Publishing, 2017, 4(2020), 1 vom: 30. Apr. |
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| Übergeordnetes Werk: |
volume:4 ; year:2020 ; number:1 ; day:30 ; month:04 |
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| DOI / URN: |
10.1007/s41781-020-00039-7 |
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| Katalog-ID: |
SPR039581608 |
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| 245 | 1 | 0 | |a Allen: A High-Level Trigger on GPUs for LHCb |
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| 520 | |a 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. | ||
| 650 | 4 | |a GPU |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Real-time data selection |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Trigger |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a LHCb |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Albrecht, J. |e verfasserin |4 aut | |
| 700 | 1 | |a Belous, M. |e verfasserin |4 aut | |
| 700 | 1 | |a Billoir, P. |e verfasserin |4 aut | |
| 700 | 1 | |a Boettcher, T. |e verfasserin |4 aut | |
| 700 | 1 | |a Brea Rodríguez, A. |e verfasserin |4 aut | |
| 700 | 1 | |a vom Bruch, D. |e verfasserin |4 aut | |
| 700 | 1 | |a Cámpora Pérez, D. H. |e verfasserin |4 aut | |
| 700 | 1 | |a Casais Vidal, A. |e verfasserin |4 aut | |
| 700 | 1 | |a Craik, D. C. |e verfasserin |4 aut | |
| 700 | 1 | |a Fernandez Declara, P. |e verfasserin |4 aut | |
| 700 | 1 | |a Funke, L. |e verfasserin |4 aut | |
| 700 | 1 | |a Gligorov, V. V. |e verfasserin |4 aut | |
| 700 | 1 | |a Jashal, B. |e verfasserin |4 aut | |
| 700 | 1 | |a Kazeev, N. |e verfasserin |4 aut | |
| 700 | 1 | |a Martínez Santos, D. |e verfasserin |4 aut | |
| 700 | 1 | |a Pisani, F. |e verfasserin |4 aut | |
| 700 | 1 | |a Pliushchenko, D. |e verfasserin |4 aut | |
| 700 | 1 | |a Popov, S. |e verfasserin |4 aut | |
| 700 | 1 | |a Quagliani, R. |e verfasserin |4 aut | |
| 700 | 1 | |a Rangel, M. |e verfasserin |4 aut | |
| 700 | 1 | |a Reiss, F. |e verfasserin |4 aut | |
| 700 | 1 | |a Sánchez Mayordomo, C. |e verfasserin |4 aut | |
| 700 | 1 | |a Schwemmer, R. |e verfasserin |4 aut | |
| 700 | 1 | |a Sokoloff, M. |e verfasserin |4 aut | |
| 700 | 1 | |a Stevens, H. |e verfasserin |4 aut | |
| 700 | 1 | |a Ustyuzhanin, A. |e verfasserin |4 aut | |
| 700 | 1 | |a Vilasís Cardona, X. |e verfasserin |4 aut | |
| 700 | 1 | |a Williams, M. |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Computing and software for big science |d Cham, Switzerland : Springer International Publishing, 2017 |g 4(2020), 1 vom: 30. Apr. |w (DE-627)1000743217 |w (DE-600)2908677-2 |x 2510-2044 |7 nnns |
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10.1007/s41781-020-00039-7 doi (DE-627)SPR039581608 (DE-599)SPRs41781-020-00039-7-e (SPR)s41781-020-00039-7-e DE-627 ger DE-627 rakwb eng 004 ASE 004 ASE Aaij, R. verfasserin aut Allen: A High-Level Trigger on GPUs for LHCb 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. GPU (dpeaa)DE-He213 Real-time data selection (dpeaa)DE-He213 Trigger (dpeaa)DE-He213 LHCb (dpeaa)DE-He213 Albrecht, J. verfasserin aut Belous, M. verfasserin aut Billoir, P. verfasserin aut Boettcher, T. verfasserin aut Brea Rodríguez, A. verfasserin aut vom Bruch, D. verfasserin aut Cámpora Pérez, D. H. verfasserin aut Casais Vidal, A. verfasserin aut Craik, D. C. verfasserin aut Fernandez Declara, P. verfasserin aut Funke, L. verfasserin aut Gligorov, V. V. verfasserin aut Jashal, B. verfasserin aut Kazeev, N. verfasserin aut Martínez Santos, D. verfasserin aut Pisani, F. verfasserin aut Pliushchenko, D. verfasserin aut Popov, S. verfasserin aut Quagliani, R. verfasserin aut Rangel, M. verfasserin aut Reiss, F. verfasserin aut Sánchez Mayordomo, C. verfasserin aut Schwemmer, R. verfasserin aut Sokoloff, M. verfasserin aut Stevens, H. verfasserin aut Ustyuzhanin, A. verfasserin aut Vilasís Cardona, X. verfasserin aut Williams, M. verfasserin aut Enthalten in Computing and software for big science Cham, Switzerland : Springer International Publishing, 2017 4(2020), 1 vom: 30. Apr. (DE-627)1000743217 (DE-600)2908677-2 2510-2044 nnns volume:4 year:2020 number:1 day:30 month:04 https://dx.doi.org/10.1007/s41781-020-00039-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2020 1 30 04 |
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10.1007/s41781-020-00039-7 doi (DE-627)SPR039581608 (DE-599)SPRs41781-020-00039-7-e (SPR)s41781-020-00039-7-e DE-627 ger DE-627 rakwb eng 004 ASE 004 ASE Aaij, R. verfasserin aut Allen: A High-Level Trigger on GPUs for LHCb 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. GPU (dpeaa)DE-He213 Real-time data selection (dpeaa)DE-He213 Trigger (dpeaa)DE-He213 LHCb (dpeaa)DE-He213 Albrecht, J. verfasserin aut Belous, M. verfasserin aut Billoir, P. verfasserin aut Boettcher, T. verfasserin aut Brea Rodríguez, A. verfasserin aut vom Bruch, D. verfasserin aut Cámpora Pérez, D. H. verfasserin aut Casais Vidal, A. verfasserin aut Craik, D. C. verfasserin aut Fernandez Declara, P. verfasserin aut Funke, L. verfasserin aut Gligorov, V. V. verfasserin aut Jashal, B. verfasserin aut Kazeev, N. verfasserin aut Martínez Santos, D. verfasserin aut Pisani, F. verfasserin aut Pliushchenko, D. verfasserin aut Popov, S. verfasserin aut Quagliani, R. verfasserin aut Rangel, M. verfasserin aut Reiss, F. verfasserin aut Sánchez Mayordomo, C. verfasserin aut Schwemmer, R. verfasserin aut Sokoloff, M. verfasserin aut Stevens, H. verfasserin aut Ustyuzhanin, A. verfasserin aut Vilasís Cardona, X. verfasserin aut Williams, M. verfasserin aut Enthalten in Computing and software for big science Cham, Switzerland : Springer International Publishing, 2017 4(2020), 1 vom: 30. Apr. (DE-627)1000743217 (DE-600)2908677-2 2510-2044 nnns volume:4 year:2020 number:1 day:30 month:04 https://dx.doi.org/10.1007/s41781-020-00039-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2020 1 30 04 |
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10.1007/s41781-020-00039-7 doi (DE-627)SPR039581608 (DE-599)SPRs41781-020-00039-7-e (SPR)s41781-020-00039-7-e DE-627 ger DE-627 rakwb eng 004 ASE 004 ASE Aaij, R. verfasserin aut Allen: A High-Level Trigger on GPUs for LHCb 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. GPU (dpeaa)DE-He213 Real-time data selection (dpeaa)DE-He213 Trigger (dpeaa)DE-He213 LHCb (dpeaa)DE-He213 Albrecht, J. verfasserin aut Belous, M. verfasserin aut Billoir, P. verfasserin aut Boettcher, T. verfasserin aut Brea Rodríguez, A. verfasserin aut vom Bruch, D. verfasserin aut Cámpora Pérez, D. H. verfasserin aut Casais Vidal, A. verfasserin aut Craik, D. C. verfasserin aut Fernandez Declara, P. verfasserin aut Funke, L. verfasserin aut Gligorov, V. V. verfasserin aut Jashal, B. verfasserin aut Kazeev, N. verfasserin aut Martínez Santos, D. verfasserin aut Pisani, F. verfasserin aut Pliushchenko, D. verfasserin aut Popov, S. verfasserin aut Quagliani, R. verfasserin aut Rangel, M. verfasserin aut Reiss, F. verfasserin aut Sánchez Mayordomo, C. verfasserin aut Schwemmer, R. verfasserin aut Sokoloff, M. verfasserin aut Stevens, H. verfasserin aut Ustyuzhanin, A. verfasserin aut Vilasís Cardona, X. verfasserin aut Williams, M. verfasserin aut Enthalten in Computing and software for big science Cham, Switzerland : Springer International Publishing, 2017 4(2020), 1 vom: 30. Apr. (DE-627)1000743217 (DE-600)2908677-2 2510-2044 nnns volume:4 year:2020 number:1 day:30 month:04 https://dx.doi.org/10.1007/s41781-020-00039-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2020 1 30 04 |
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10.1007/s41781-020-00039-7 doi (DE-627)SPR039581608 (DE-599)SPRs41781-020-00039-7-e (SPR)s41781-020-00039-7-e DE-627 ger DE-627 rakwb eng 004 ASE 004 ASE Aaij, R. verfasserin aut Allen: A High-Level Trigger on GPUs for LHCb 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. GPU (dpeaa)DE-He213 Real-time data selection (dpeaa)DE-He213 Trigger (dpeaa)DE-He213 LHCb (dpeaa)DE-He213 Albrecht, J. verfasserin aut Belous, M. verfasserin aut Billoir, P. verfasserin aut Boettcher, T. verfasserin aut Brea Rodríguez, A. verfasserin aut vom Bruch, D. verfasserin aut Cámpora Pérez, D. H. verfasserin aut Casais Vidal, A. verfasserin aut Craik, D. C. verfasserin aut Fernandez Declara, P. verfasserin aut Funke, L. verfasserin aut Gligorov, V. V. verfasserin aut Jashal, B. verfasserin aut Kazeev, N. verfasserin aut Martínez Santos, D. verfasserin aut Pisani, F. verfasserin aut Pliushchenko, D. verfasserin aut Popov, S. verfasserin aut Quagliani, R. verfasserin aut Rangel, M. verfasserin aut Reiss, F. verfasserin aut Sánchez Mayordomo, C. verfasserin aut Schwemmer, R. verfasserin aut Sokoloff, M. verfasserin aut Stevens, H. verfasserin aut Ustyuzhanin, A. verfasserin aut Vilasís Cardona, X. verfasserin aut Williams, M. verfasserin aut Enthalten in Computing and software for big science Cham, Switzerland : Springer International Publishing, 2017 4(2020), 1 vom: 30. Apr. (DE-627)1000743217 (DE-600)2908677-2 2510-2044 nnns volume:4 year:2020 number:1 day:30 month:04 https://dx.doi.org/10.1007/s41781-020-00039-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2020 1 30 04 |
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10.1007/s41781-020-00039-7 doi (DE-627)SPR039581608 (DE-599)SPRs41781-020-00039-7-e (SPR)s41781-020-00039-7-e DE-627 ger DE-627 rakwb eng 004 ASE 004 ASE Aaij, R. verfasserin aut Allen: A High-Level Trigger on GPUs for LHCb 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. GPU (dpeaa)DE-He213 Real-time data selection (dpeaa)DE-He213 Trigger (dpeaa)DE-He213 LHCb (dpeaa)DE-He213 Albrecht, J. verfasserin aut Belous, M. verfasserin aut Billoir, P. verfasserin aut Boettcher, T. verfasserin aut Brea Rodríguez, A. verfasserin aut vom Bruch, D. verfasserin aut Cámpora Pérez, D. H. verfasserin aut Casais Vidal, A. verfasserin aut Craik, D. C. verfasserin aut Fernandez Declara, P. verfasserin aut Funke, L. verfasserin aut Gligorov, V. V. verfasserin aut Jashal, B. verfasserin aut Kazeev, N. verfasserin aut Martínez Santos, D. verfasserin aut Pisani, F. verfasserin aut Pliushchenko, D. verfasserin aut Popov, S. verfasserin aut Quagliani, R. verfasserin aut Rangel, M. verfasserin aut Reiss, F. verfasserin aut Sánchez Mayordomo, C. verfasserin aut Schwemmer, R. verfasserin aut Sokoloff, M. verfasserin aut Stevens, H. verfasserin aut Ustyuzhanin, A. verfasserin aut Vilasís Cardona, X. verfasserin aut Williams, M. verfasserin aut Enthalten in Computing and software for big science Cham, Switzerland : Springer International Publishing, 2017 4(2020), 1 vom: 30. Apr. (DE-627)1000743217 (DE-600)2908677-2 2510-2044 nnns volume:4 year:2020 number:1 day:30 month:04 https://dx.doi.org/10.1007/s41781-020-00039-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2020 1 30 04 |
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Enthalten in Computing and software for big science 4(2020), 1 vom: 30. Apr. volume:4 year:2020 number:1 day:30 month:04 |
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Enthalten in Computing and software for big science 4(2020), 1 vom: 30. Apr. volume:4 year:2020 number:1 day:30 month:04 |
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Aaij, R. @@aut@@ Albrecht, J. @@aut@@ Belous, M. @@aut@@ Billoir, P. @@aut@@ Boettcher, T. @@aut@@ Brea Rodríguez, A. @@aut@@ vom Bruch, D. @@aut@@ Cámpora Pérez, D. H. @@aut@@ Casais Vidal, A. @@aut@@ Craik, D. C. @@aut@@ Fernandez Declara, P. @@aut@@ Funke, L. @@aut@@ Gligorov, V. V. @@aut@@ Jashal, B. @@aut@@ Kazeev, N. @@aut@@ Martínez Santos, D. @@aut@@ Pisani, F. @@aut@@ Pliushchenko, D. @@aut@@ Popov, S. @@aut@@ Quagliani, R. @@aut@@ Rangel, M. @@aut@@ Reiss, F. @@aut@@ Sánchez Mayordomo, C. @@aut@@ Schwemmer, R. @@aut@@ Sokoloff, M. @@aut@@ Stevens, H. @@aut@@ Ustyuzhanin, A. @@aut@@ Vilasís Cardona, X. @@aut@@ Williams, M. @@aut@@ |
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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. Quagliani, R. Rangel, M. Reiss, F. Sánchez Mayordomo, C. Schwemmer, R. Sokoloff, M. Stevens, H. Ustyuzhanin, A. Vilasís Cardona, X. Williams, M. |
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allen: a high-level trigger on gpus for lhcb |
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Allen: A High-Level Trigger on GPUs for LHCb |
| abstract |
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. |
| abstractGer |
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. |
| abstract_unstemmed |
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. |
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| score |
7.3982086 |