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Evaluation of a high-performance storage buffer with 3D XPoint devices for the DUNE data acquisition system

<!--HTML-->The DUNE detector is a neutrino physics experiment that is expected to take data starting from 2028. The data acquisition (DAQ) system of the experiment is designed to sustain several TB/s of incoming data which will be temporarily buffered while being processed by a software based...

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Detalles Bibliográficos
Autor principal: Abed Abud, Adam
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:http://cds.cern.ch/record/2766909
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author Abed Abud, Adam
author_facet Abed Abud, Adam
author_sort Abed Abud, Adam
collection CERN
description <!--HTML-->The DUNE detector is a neutrino physics experiment that is expected to take data starting from 2028. The data acquisition (DAQ) system of the experiment is designed to sustain several TB/s of incoming data which will be temporarily buffered while being processed by a software based data selection system. In DUNE, some rare physics processes (e.g. Supernovae Burst events) require storing the full complement of data produced over 1-2 minute window. These are recognised by the data selection system which fires a specific trigger decision. Upon reception of this decision data are moved from the temporary buffers to local, high performance, persistent storage devices. In this paper we characterize the performance of novel 3DXPoint SSD devices under different workloads suitable for high-performance storage applications. We then illustrate how such devices may be applied to the DUNE use-case: to store, upon a specific signal, 100 seconds of incoming data at 1.5 TB/s distributed among 150 identical units each operating at approximately 10 GB/s.
id cern-2766909
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
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spelling cern-27669092022-11-02T22:25:53Zhttp://cds.cern.ch/record/2766909engAbed Abud, AdamEvaluation of a high-performance storage buffer with 3D XPoint devices for the DUNE data acquisition system25th International Conference on Computing in High Energy & Nuclear PhysicsConferences<!--HTML-->The DUNE detector is a neutrino physics experiment that is expected to take data starting from 2028. The data acquisition (DAQ) system of the experiment is designed to sustain several TB/s of incoming data which will be temporarily buffered while being processed by a software based data selection system. In DUNE, some rare physics processes (e.g. Supernovae Burst events) require storing the full complement of data produced over 1-2 minute window. These are recognised by the data selection system which fires a specific trigger decision. Upon reception of this decision data are moved from the temporary buffers to local, high performance, persistent storage devices. In this paper we characterize the performance of novel 3DXPoint SSD devices under different workloads suitable for high-performance storage applications. We then illustrate how such devices may be applied to the DUNE use-case: to store, upon a specific signal, 100 seconds of incoming data at 1.5 TB/s distributed among 150 identical units each operating at approximately 10 GB/s.oai:cds.cern.ch:27669092021
spellingShingle Conferences
Abed Abud, Adam
Evaluation of a high-performance storage buffer with 3D XPoint devices for the DUNE data acquisition system
title Evaluation of a high-performance storage buffer with 3D XPoint devices for the DUNE data acquisition system
title_full Evaluation of a high-performance storage buffer with 3D XPoint devices for the DUNE data acquisition system
title_fullStr Evaluation of a high-performance storage buffer with 3D XPoint devices for the DUNE data acquisition system
title_full_unstemmed Evaluation of a high-performance storage buffer with 3D XPoint devices for the DUNE data acquisition system
title_short Evaluation of a high-performance storage buffer with 3D XPoint devices for the DUNE data acquisition system
title_sort evaluation of a high-performance storage buffer with 3d xpoint devices for the dune data acquisition system
topic Conferences
url http://cds.cern.ch/record/2766909
work_keys_str_mv AT abedabudadam evaluationofahighperformancestoragebufferwith3dxpointdevicesforthedunedataacquisitionsystem
AT abedabudadam 25thinternationalconferenceoncomputinginhighenergynuclearphysics