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CERN Document Server 2,024 ჩანაწერია ნაპოვნი  1 - 10შემდეგიდასასრული  ჩანაწერთან გადასვლა: ძიებას დასჭირდა 0.65 წამი. 
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Multi-threaded Software Framework Development for the ATLAS Experiment / Stewart, Graeme (University of Glasgow, SUPA - School of Physics and Astronomy) ; Bold, Tomasz (AGH University of Science and Technology, Faculty of Physics and Applied Computer Science, Krakow) ; Baines, John (Rutherford Appleton Laboratory) ; Calafiura, Paolo (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Dotti, Andrea (SLAC National Accelerator Laboratory) ; Farrell, Steven (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Leggett, Charles (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Malon, David (Argonne National Laboratory) ; Ritsch, Elmar (CERN) ; Snyder, Scott (Brookhaven National Laboratory (BNL)) et al.
ATLAS's current software framework, Gaudi/Athena, has been very successful for the experiment in LHC Runs 1 and 2. However, its single threaded design has been recognised for some time to be increasingly problematic as CPUs have increased core counts and decreased available memory per core. [...]
ATL-SOFT-SLIDE-2016-015.- Geneva : CERN, 2016 - 29 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 17th INTERNATIONAL WORKSHOP ON ADVANCED COMPUTING AND ANALYSIS TECHNIQUES IN PHYSICS RESEARCH, Valparaíso, Valparaíso, Chile, 18 - 22 Jan 2016
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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Multi-threaded software framework development for the ATLAS experiment / ATLAS collaboration
ATLAS's current software framework, Gaudi/Athena, has been very successful for the experiment in LHC Runs 1 and 2 [...]
ATL-SOFT-PROC-2016-005. - 2016. - 5 p.
Original Communication (restricted to ATLAS) - Full text - Full text
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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Managing Asynchronous Data in ATLAS's Concurrent Framework / ATLAS Collaboration
In order to be able to make effective use of emerging hardware, where the amount of memory available to any CPU is rapidly decreasing as the core count continues to rise, ATLAS has begun a migration to a concurrent, multi-threaded software framework, known as AthenaMT. [...]
ATL-SOFT-PROC-2016-006. - 2016. - 5 p.
Original Communication (restricted to ATLAS) - Full text
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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AthenaMT: Upgrading the ATLAS Software Framework for the Many-Core World with Multi-Threading / ATLAS Collaboration
ATLAS's current software framework, Gaudi/Athena, has been very successful for the experiment in LHC Runs 1 and 2. However, its single threaded design has been recognised for some time to be increasingly problematic as CPUs have increased core counts and decreased available memory per core. [...]
ATL-SOFT-SLIDE-2016-786.- Geneva : CERN, 2016 - 19 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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AthenaMT: upgrading the ATLAS software framework for the many-core world with multi-threading / ATLAS Collaboration
ATLAS’s current software framework, Gaudi/Athena, has been very successful for the experiment in LHC Runs 1 and 2. [...]
ATL-SOFT-PROC-2017-019. - 2017. - 7 p.
Original Communication (restricted to ATLAS) - Full text - IOP Open Access Article
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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Managing Asynchronous Data in ATLAS's Concurrent Framework / ATLAS Collaboration
In order to be able to make effective use of emerging hardware, where the amount of memory available to any CPU is rapidly decreasing as the core count continues to rise, ATLAS has begun a migration to a concurrent, multi-threaded software framework, known as AthenaMT. Significant progress has been made in implementing AthenaMT - we can currently run realistic Geant4 simulations on massively concurrent machines. [...]
ATL-SOFT-SLIDE-2016-447.- Geneva : CERN, 2016 - 15 p. Fulltext: 2016.08.05_ICHEP_AsyncData_w1 - PDF; ATL-SOFT-SLIDE-2016-447 - PDF; External link: Original Communication (restricted to ATLAS)
In : 38th International Conference on High Energy Physics, Chicago, IL, USA, 03 - 10 Aug 2016
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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Implementation of the ATLAS trigger within the multi-threaded AthenaMT framework / Martin-Haugh, Stewart (Rutherford Appleton Laboratory)
We present an implementation of the ATLAS High Level Trigger (HLT) that provides parallel execution of trigger algorithms within the ATLAS multi-threaded software framework, AthenaMT. [...]
ATL-DAQ-PROC-2018-033. - 2018.
Original Communication (restricted to ATLAS) - Full text
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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Implementation of the ATLAS trigger within the ATLAS Multi-Threaded Software Framework AthenaMT / Martin, Tim (University of Warwick, Coventry) /ATLAS Collaboration
Implementation of the ATLAS trigger within the ATLAS Multi-Threaded Software Framework AthenaMT We present an implementation of the ATLAS High Level Trigger (HLT) that provides parallel execution of trigger algorithms within the ATLAS multi-threaded software framework, AthenaMT. This development will enable the HLT to meet future challenges from the evolution of computing hardware and upgrades of the Large Hadron Collider (LHC) and ATLAS Detector. [...]
ATL-DAQ-SLIDE-2018-905.- Geneva : CERN, 2018 - 17 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 14th eScience IEEE International Conference, Amsterdam, Netherlands, 29 Oct - 1 Nov 2018
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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Multithreaded simulation for ATLAS: challenges and validation strategy / Bandieramonte, Marilena (University of Pittsburgh) ; Chapman, John Derek (Cavendish Laboratory, University of Cambridge) ; Gray, Heather (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Muskinja, Miha (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Chiu, Yu Him Justin (University of Victoria) /ATLAS Collaboration
Estimations of the CPU resources that will be needed to produce simulated data for the future runs of the ATLAS experiment at the LHC indicate a compelling need to speed-up the process to reduce the computational time required. While different fast simulation projects are ongoing (FastCaloSim, FastChain, etc.), full Geant4 based simulation will still be heavily used and is expected to consume the biggest portion of the total estimated processing time. [...]
ATL-SOFT-SLIDE-2019-796.- Geneva : CERN, 2019 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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Multi-threaded ATLAS Simulation on Intel Knights Landing Processors / Farrell, Steven (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Dotti, Andrea (SLAC National Accelerator Laboratory) ; Calafiura, Paolo (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Leggett, Charles (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Tsulaia, Vakhtang (Lawrence Berkeley National Laboratory and University of California, Berkeley) /ATLAS Collaboration
The Knights Landing (KNL) release of the Intel Many Integrated Core (MIC) Xeon Phi line of processors is a potential game changer for HEP computing. With 72 cores and deep vector registers, the KNL cards promise significant performance benefits for highly-parallel, compute-heavy applications. [...]
ATL-SOFT-SLIDE-2016-739.- Geneva : CERN, 2016 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
დეტალური ჩანაწერი - მსგავსი ჩანაწერები

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