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Validation for CMS ECAL - Reconstruction using GPU

The CMS experiment at CERN processes millions of signals every second during collisions in the large hadron collider (LHC). Each detec-tor in the experiment has a specific purpose to track certain particles or determine their energy and momentum. The electromagnetic calorime-ter (ECAL) is specialized...

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Autor principal: Alnasrallah, Eissa A M A M
Lenguaje:eng
Publicado: 2019
Materias:
Acceso en línea:http://cds.cern.ch/record/2689610
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author Alnasrallah, Eissa A M A M
author_facet Alnasrallah, Eissa A M A M
author_sort Alnasrallah, Eissa A M A M
collection CERN
description The CMS experiment at CERN processes millions of signals every second during collisions in the large hadron collider (LHC). Each detec-tor in the experiment has a specific purpose to track certain particles or determine their energy and momentum. The electromagnetic calorime-ter (ECAL) is specialized in determining photons and electrons energies. The signal, once detected by ECAL crystals, goes through several process-ing programs to translate it from an electric signal to an energy cluster. The processing of all this data has high computational cost. The use of graphics processing units (GPUs) to process this data in a parallel manner largely reduces those computational costs. Currently, CMS team is working on transferring the CMS ECAL reconstruction code to GPU. In this project, I worked on developing a validation code for the ECAL Re-cHit producer code which converts amplitudes in uncalibrated RecHits to energies of RecHits. The validation code compares the GPU code results with the CPU’s. The current results are presented in this report along with the required future work for this process.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
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spelling cern-26896102019-09-30T06:29:59Zhttp://cds.cern.ch/record/2689610engAlnasrallah, Eissa A M A MValidation for CMS ECAL - Reconstruction using GPUPhysics in GeneralThe CMS experiment at CERN processes millions of signals every second during collisions in the large hadron collider (LHC). Each detec-tor in the experiment has a specific purpose to track certain particles or determine their energy and momentum. The electromagnetic calorime-ter (ECAL) is specialized in determining photons and electrons energies. The signal, once detected by ECAL crystals, goes through several process-ing programs to translate it from an electric signal to an energy cluster. The processing of all this data has high computational cost. The use of graphics processing units (GPUs) to process this data in a parallel manner largely reduces those computational costs. Currently, CMS team is working on transferring the CMS ECAL reconstruction code to GPU. In this project, I worked on developing a validation code for the ECAL Re-cHit producer code which converts amplitudes in uncalibrated RecHits to energies of RecHits. The validation code compares the GPU code results with the CPU’s. The current results are presented in this report along with the required future work for this process.CERN-STUDENTS-Note-2019-198oai:cds.cern.ch:26896102019-09-16
spellingShingle Physics in General
Alnasrallah, Eissa A M A M
Validation for CMS ECAL - Reconstruction using GPU
title Validation for CMS ECAL - Reconstruction using GPU
title_full Validation for CMS ECAL - Reconstruction using GPU
title_fullStr Validation for CMS ECAL - Reconstruction using GPU
title_full_unstemmed Validation for CMS ECAL - Reconstruction using GPU
title_short Validation for CMS ECAL - Reconstruction using GPU
title_sort validation for cms ecal - reconstruction using gpu
topic Physics in General
url http://cds.cern.ch/record/2689610
work_keys_str_mv AT alnasrallaheissaamam validationforcmsecalreconstructionusinggpu