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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...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
2019
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2704385 |
_version_ | 1780964694740172800 |
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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 />
</p> |
id | cern-2704385 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2019 |
record_format | invenio |
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 /> </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 |