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The LHCb software and computing upgrade for Run 3: opportunities and challenges
by
Roiser, S
, Bozzi, C
in
Collision rates
/ Computing time
/ Data analysis
/ Data processing
/ Data storage
/ Inelastic collisions
/ Large Hadron Collider
/ Parameterization
/ Physics
/ Redesign
/ Sensors
/ Software
/ Storage capacity
/ Upgrading
/ Workflow
2017
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The LHCb software and computing upgrade for Run 3: opportunities and challenges
by
Roiser, S
, Bozzi, C
in
Collision rates
/ Computing time
/ Data analysis
/ Data processing
/ Data storage
/ Inelastic collisions
/ Large Hadron Collider
/ Parameterization
/ Physics
/ Redesign
/ Sensors
/ Software
/ Storage capacity
/ Upgrading
/ Workflow
2017
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Do you wish to request the book?
The LHCb software and computing upgrade for Run 3: opportunities and challenges
by
Roiser, S
, Bozzi, C
in
Collision rates
/ Computing time
/ Data analysis
/ Data processing
/ Data storage
/ Inelastic collisions
/ Large Hadron Collider
/ Parameterization
/ Physics
/ Redesign
/ Sensors
/ Software
/ Storage capacity
/ Upgrading
/ Workflow
2017
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The LHCb software and computing upgrade for Run 3: opportunities and challenges
Journal Article
The LHCb software and computing upgrade for Run 3: opportunities and challenges
2017
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Overview
The LHCb detector will be upgraded for the LHC Run 3 and will be readout at 30 MHz, corresponding to the full inelastic collision rate, with major implications on the full software trigger and offline computing. If the current computing model and software framework are kept, the data storage capacity and computing power required to process data at this rate, and to generate and reconstruct equivalent samples of simulated events, will exceed the current capacity by at least one order of magnitude. A redesign of the software framework, including scheduling, the event model, the detector description and the conditions database, is needed to fully exploit the computing power of multi-, many-core architectures, and coprocessors. Data processing and the analysis model will also change towards an early streaming of different data types, in order to limit storage resources, with further implications for the data analysis workflows. Fast simulation options will allow to obtain a reasonable parameterization of the detector response in considerably less computing time. Finally, the upgrade of LHCb will be a good opportunity to review and implement changes in the domains of software design, test and review, and analysis workflow and preservation. In this contribution, activities and recent results in all the above areas are presented.
Publisher
IOP Publishing
Subject
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