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Using Akka Platform in Unidentified Falling Object Detection on the LHC.

During my participation in the CERN Summer Student Program 2013, I worked under the Technology Department of CERN and, more specifically, in the Machine Protection and Electrical Integrity (MPE) Group. The MPE Group supports LHC operation and maintains state‐of‐the art technology for magnet circuit...

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Detalles Bibliográficos
Autor principal: Motesnitsalis, Evangelos
Lenguaje:eng
Publicado: 2013
Materias:
Acceso en línea:http://cds.cern.ch/record/1596211
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author Motesnitsalis, Evangelos
author_facet Motesnitsalis, Evangelos
author_sort Motesnitsalis, Evangelos
collection CERN
description During my participation in the CERN Summer Student Program 2013, I worked under the Technology Department of CERN and, more specifically, in the Machine Protection and Electrical Integrity (MPE) Group. The MPE Group supports LHC operation and maintains state‐of‐the art technology for magnet circuit protection and interlock systems for the present and future accelerators, magnet test facilities and CERN hosted experiments. Within this context, we developed an application that parallelizes the Unidentified Falling Object Detection Algorithm on the LHC Operational Data Analysis Software. For this reason, we used a JVM-based toolkit, named Akka, which parallelizes the execution by creating a number of actors that run simultaneously. The results of the new approach are presented on the last part of this report. They tend to be quite interesting and promising as we managed to reduce the execution time of the analysis by a factor of 10 on a local machine and the first attempts to execute the program on a cluster have already reduced the execution time by 96%.
id cern-1596211
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
record_format invenio
spelling cern-15962112019-09-30T06:29:59Zhttp://cds.cern.ch/record/1596211engMotesnitsalis, EvangelosUsing Akka Platform in Unidentified Falling Object Detection on the LHC.Computing and ComputersDuring my participation in the CERN Summer Student Program 2013, I worked under the Technology Department of CERN and, more specifically, in the Machine Protection and Electrical Integrity (MPE) Group. The MPE Group supports LHC operation and maintains state‐of‐the art technology for magnet circuit protection and interlock systems for the present and future accelerators, magnet test facilities and CERN hosted experiments. Within this context, we developed an application that parallelizes the Unidentified Falling Object Detection Algorithm on the LHC Operational Data Analysis Software. For this reason, we used a JVM-based toolkit, named Akka, which parallelizes the execution by creating a number of actors that run simultaneously. The results of the new approach are presented on the last part of this report. They tend to be quite interesting and promising as we managed to reduce the execution time of the analysis by a factor of 10 on a local machine and the first attempts to execute the program on a cluster have already reduced the execution time by 96%. CERN-STUDENTS-Note-2013-129oai:cds.cern.ch:15962112013-08-30
spellingShingle Computing and Computers
Motesnitsalis, Evangelos
Using Akka Platform in Unidentified Falling Object Detection on the LHC.
title Using Akka Platform in Unidentified Falling Object Detection on the LHC.
title_full Using Akka Platform in Unidentified Falling Object Detection on the LHC.
title_fullStr Using Akka Platform in Unidentified Falling Object Detection on the LHC.
title_full_unstemmed Using Akka Platform in Unidentified Falling Object Detection on the LHC.
title_short Using Akka Platform in Unidentified Falling Object Detection on the LHC.
title_sort using akka platform in unidentified falling object detection on the lhc.
topic Computing and Computers
url http://cds.cern.ch/record/1596211
work_keys_str_mv AT motesnitsalisevangelos usingakkaplatforminunidentifiedfallingobjectdetectiononthelhc