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Usage of GPU for online data processing – the experience of ALICE and LHCb

<!--HTML--><p>In LHC Run 3, the ALICE and LHCb experiments will not rely on hardware triggers. The luminosity will be increased significantly, so that up to 40 Tbit/s will be processed in the online farm.</p> <p>LHCb runs a full-software trigger and ALICE performs calibratio...

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Detalles Bibliográficos
Autores principales: Rohr, David, Campora Perez, Daniel Hugo
Lenguaje:eng
Publicado: 2019
Materias:
Acceso en línea:http://cds.cern.ch/record/2704385
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author Rohr, David
Campora Perez, Daniel Hugo
author_facet Rohr, David
Campora Perez, Daniel Hugo
author_sort Rohr, David
collection CERN
description <!--HTML--><p>In LHC Run 3, the ALICE and LHCb experiments will not rely on hardware triggers. The luminosity will be increased significantly, so that up to 40 Tbit/s will be processed in the online farm.</p> <p>LHCb runs a full-software trigger and ALICE performs calibration and data compression, for which the full software processing enables unprecedented flexibility and possibilities.<br /> Both experiments foresee a two-stage approach, processing the data during data taking for a first data reduction and storing it to an on-site disk-buffer for a second processing when there is no beam.</p> <p>In order to cope with the higher data rates, both experiments are exploring alternative hardware technologies instead of traditional CPU compute farms.</p> <p>We discuss the framework design, implementation details, performance, and results of LHCb's full-software trigger on GPUs "Allen" and of ALICE's online and offline data compression and reconstruction on GPUs.<br /> &nbsp;</p>
id cern-2704385
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
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spelling cern-27043852022-11-02T22:31:42Zhttp://cds.cern.ch/record/2704385engRohr, DavidCampora Perez, Daniel HugoUsage of GPU for online data processing – the experience of ALICE and LHCbUsage of GPU for online data processing – the experience of ALICE and LHCbEP Software Seminar<!--HTML--><p>In LHC Run 3, the ALICE and LHCb experiments will not rely on hardware triggers. The luminosity will be increased significantly, so that up to 40 Tbit/s will be processed in the online farm.</p> <p>LHCb runs a full-software trigger and ALICE performs calibration and data compression, for which the full software processing enables unprecedented flexibility and possibilities.<br /> Both experiments foresee a two-stage approach, processing the data during data taking for a first data reduction and storing it to an on-site disk-buffer for a second processing when there is no beam.</p> <p>In order to cope with the higher data rates, both experiments are exploring alternative hardware technologies instead of traditional CPU compute farms.</p> <p>We discuss the framework design, implementation details, performance, and results of LHCb's full-software trigger on GPUs "Allen" and of ALICE's online and offline data compression and reconstruction on GPUs.<br /> &nbsp;</p>oai:cds.cern.ch:27043852019
spellingShingle EP Software Seminar
Rohr, David
Campora Perez, Daniel Hugo
Usage of GPU for online data processing – the experience of ALICE and LHCb
title Usage of GPU for online data processing – the experience of ALICE and LHCb
title_full Usage of GPU for online data processing – the experience of ALICE and LHCb
title_fullStr Usage of GPU for online data processing – the experience of ALICE and LHCb
title_full_unstemmed Usage of GPU for online data processing – the experience of ALICE and LHCb
title_short Usage of GPU for online data processing – the experience of ALICE and LHCb
title_sort usage of gpu for online data processing – the experience of alice and lhcb
topic EP Software Seminar
url http://cds.cern.ch/record/2704385
work_keys_str_mv AT rohrdavid usageofgpuforonlinedataprocessingtheexperienceofaliceandlhcb
AT camporaperezdanielhugo usageofgpuforonlinedataprocessingtheexperienceofaliceandlhcb