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Computing challenges in HEP for WLHC grid

As CERN moves towards preparation for increasing the luminosity of the particle beam towards HL-LHC, predictions shows computing demand would out grow our conservative scaling estimates by over ten times. Fortunately we are talking about a time scale of roughly ten years to develop new techniques an...

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Autor principal: Muralidharan, Servesh
Lenguaje:eng
Publicado: 2017
Materias:
Acceso en línea:http://cds.cern.ch/record/2310374
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author Muralidharan, Servesh
author_facet Muralidharan, Servesh
author_sort Muralidharan, Servesh
collection CERN
description As CERN moves towards preparation for increasing the luminosity of the particle beam towards HL-LHC, predictions shows computing demand would out grow our conservative scaling estimates by over ten times. Fortunately we are talking about a time scale of roughly ten years to develop new techniques and novel solutions to address this gap in compute resources. Experiments at CERN face a unique scenario where in they need to scale both latency sensitive workloads such as data acquisition of the detectors and throughput based ones such as simulations and reconstruction of high level events and physics processes. In this talk we cover some of the ongoing research at tier-0 in CERN which investigates several aspects of throughput sensitive workloads that consume significant compute cycles.
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institution Organización Europea para la Investigación Nuclear
language eng
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spelling cern-23103742019-09-30T06:29:59Zhttp://cds.cern.ch/record/2310374engMuralidharan, ServeshComputing challenges in HEP for WLHC gridHiPCTalkAs CERN moves towards preparation for increasing the luminosity of the particle beam towards HL-LHC, predictions shows computing demand would out grow our conservative scaling estimates by over ten times. Fortunately we are talking about a time scale of roughly ten years to develop new techniques and novel solutions to address this gap in compute resources. Experiments at CERN face a unique scenario where in they need to scale both latency sensitive workloads such as data acquisition of the detectors and throughput based ones such as simulations and reconstruction of high level events and physics processes. In this talk we cover some of the ongoing research at tier-0 in CERN which investigates several aspects of throughput sensitive workloads that consume significant compute cycles.IT-TALK-2017-008oai:cds.cern.ch:23103742017
spellingShingle Talk
Muralidharan, Servesh
Computing challenges in HEP for WLHC grid
title Computing challenges in HEP for WLHC grid
title_full Computing challenges in HEP for WLHC grid
title_fullStr Computing challenges in HEP for WLHC grid
title_full_unstemmed Computing challenges in HEP for WLHC grid
title_short Computing challenges in HEP for WLHC grid
title_sort computing challenges in hep for wlhc grid
topic Talk
url http://cds.cern.ch/record/2310374
work_keys_str_mv AT muralidharanservesh computingchallengesinhepforwlhcgrid
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