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GPU Computing in High Energy Physics

10–12 Sept 2014
University of Pisa
Europe/Rome timezone

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Session

GPU in High Level Trigger (3/3)

11 Sept 2014, 16:30
University of Pisa

University of Pisa

<a target="_blank" href=https://www.google.com/maps/place/Dipartimento+di+Fisica/@43.720239,10.407985,17z/data=!3m1!4b1!4m2!3m1!1s0x12d591bb7d8c8ec9:0xbf91ddd442e32978>Polo Fibonacci</a> Largo Bruno Pontecorvo, 3 I-56127 Pisa <em>phone +39 050 2214 327</em>

Conveners

GPU in High Level Trigger (3/3)

  • Andrea Messina (ROMA1)

Presentation materials

There are no materials yet.

  1. 28. Manycore feasability studies at the LHCb trigger
    Mr Daniel Hugo Campora Perez (CERN)
    11/09/2014, 16:30
    Talk
    The LHCb trigger is a real time system with high computation requirements, where incoming data from the LHCb detector is analyzed and selected by applying a chain of algorithms. The infrastructure that sustains the current trigger consists of Intel Xeon based servers, and is designed for sequential execution. We have extended the current software infrastructure to include support for offloaded...
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  2. 29. Track pattern-recognition on GPGPUs in the LHCb experiment
    Stefano Gallorini (PD)
    11/09/2014, 17:00
    Talk
    The LHCb experiment is entering in its upgrading phase, with its detector and read-out system re-designed to cope with the increased LHC energy after the long shutdown of 2018. In this upgrade, a trigger-less data acquisition is being developed to read-out the full detector at the bunch-crossing rate of 40 MHz. In particular, the High Level Trigger (HLT) system, where the bulk of the trigger...
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  3. 32. A GPU-based track reconstruction in the core of high pT jets in CMS
    Mr Felice Pantaleo (CERN)
    11/09/2014, 17:30
    Talk
    The Large Hadron Collider is presently undergoing work to increase the centre-of-mass energy to 13 TeV and to reach much higher beam luminosity. It is scheduled to return to operation in early 2015. With the increasing amount of data delivered by the LHC, the experiments are facing enormous challenges to adapt their computing resources, also in terms of CPU usage. This trend will continue...
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  4. 36. An evaluation of the potential of GPUs to accelerate tracking algorithms for the ATLAS trigger
    Dr Denis Oliveira Damazio (Brookhaven National Laboratory), Mr Jacob Howard (University of Oxford)
    11/09/2014, 18:00
    Talk
    The potential of GPUs has been evaluated as a possible way to accelerate trigger algorithms for the ATLAS experiment located at the Large Hadron Collider (LHC). During LHC Run-1 ATLAS employed a three-level trigger system to progressively reduce the LHC collision rate of 20 MHz to a storage rate of about 600 Hz for offline processing. Reconstruction of charged particles trajectories through...
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  5. 40. Use of hardware accelerators for ATLAS computing
    Mr Maik Dankel (CERN), Dr Sami Kama (Southern Methodist University Dallas/US)
    11/09/2014, 18:30
    Talk
    Modern HEP experiments produce tremendous amounts of data. These data are processed by in-house built software frameworks which have lifetimes longer than the detector itself. Such frameworks were traditionally based on serial code and relied on advances in CPU technologies, mainly clock frequency, to cope with increasing data volumes. With the advent of many-core architectures and GPGPUs...
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