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ALICE Run 3 Analysis Framework

<!--HTML-->In LHC Run 3 the ALICE Collaboration will have to cope in Run 3 with an increase of lead-lead collision data of two orders of magnitude com- pared to the Run 1 and 2 data-taking periods. The Online-Offline (O$^2$) software framework has been developed to allow for distributed and ef...

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Autor principal: Alkin, Anton
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:http://cds.cern.ch/record/2767012
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author Alkin, Anton
author_facet Alkin, Anton
author_sort Alkin, Anton
collection CERN
description <!--HTML-->In LHC Run 3 the ALICE Collaboration will have to cope in Run 3 with an increase of lead-lead collision data of two orders of magnitude com- pared to the Run 1 and 2 data-taking periods. The Online-Offline (O$^2$) software framework has been developed to allow for distributed and efficient process- ing of this unprecedented amount of data. Its design, which is based on a message-passing back end, required the development of a dedicated Analysis Framework that uses columnar data format provided by Apache Arrow. The O2 Analysis Framework provides a user-friendly high-level interface and hides the complexity of the underlying distributed framework. It allows the users to access and manipulate the data in the new format both in the traditional "event loop" and a declarative approach using bulk processing operations based on Arrow’s Gandiva sub-project. Building on the well-tested system of analysis trains developed by ALICE in Run 1 and 2, the AliHyperloop infrastructure is being developed. It provides a fast and intuitive user interface for running demand- ing analysis workflows in the GRID environment and on the dedicated Analysis Facility. In this document, we report on the current state and ongoing develop- ments of the Analysis Framework and of AliHyperloop, highlighting the design choices and the benefits of the new system.
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spelling cern-27670122022-11-02T22:25:50Zhttp://cds.cern.ch/record/2767012engAlkin, AntonALICE Run 3 Analysis Framework25th International Conference on Computing in High Energy & Nuclear PhysicsConferences<!--HTML-->In LHC Run 3 the ALICE Collaboration will have to cope in Run 3 with an increase of lead-lead collision data of two orders of magnitude com- pared to the Run 1 and 2 data-taking periods. The Online-Offline (O$^2$) software framework has been developed to allow for distributed and efficient process- ing of this unprecedented amount of data. Its design, which is based on a message-passing back end, required the development of a dedicated Analysis Framework that uses columnar data format provided by Apache Arrow. The O2 Analysis Framework provides a user-friendly high-level interface and hides the complexity of the underlying distributed framework. It allows the users to access and manipulate the data in the new format both in the traditional "event loop" and a declarative approach using bulk processing operations based on Arrow’s Gandiva sub-project. Building on the well-tested system of analysis trains developed by ALICE in Run 1 and 2, the AliHyperloop infrastructure is being developed. It provides a fast and intuitive user interface for running demand- ing analysis workflows in the GRID environment and on the dedicated Analysis Facility. In this document, we report on the current state and ongoing develop- ments of the Analysis Framework and of AliHyperloop, highlighting the design choices and the benefits of the new system.oai:cds.cern.ch:27670122021
spellingShingle Conferences
Alkin, Anton
ALICE Run 3 Analysis Framework
title ALICE Run 3 Analysis Framework
title_full ALICE Run 3 Analysis Framework
title_fullStr ALICE Run 3 Analysis Framework
title_full_unstemmed ALICE Run 3 Analysis Framework
title_short ALICE Run 3 Analysis Framework
title_sort alice run 3 analysis framework
topic Conferences
url http://cds.cern.ch/record/2767012
work_keys_str_mv AT alkinanton alicerun3analysisframework
AT alkinanton 25thinternationalconferenceoncomputinginhighenergynuclearphysics