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CERN Document Server 2,025 records found  1 - 10nextend  jump to record: Search took 1.23 seconds. 
1.
(100)
I/O in the ATLAS multithreaded framework / Cranshaw, Jack (Argonne National Laboratory) ; Malon, David (Argonne National Laboratory) ; Nowak, Marcin (Brookhaven National Laboratory (BNL)) ; Van Gemmeren, Peter (Argonne National Laboratory) /ATLAS Collaboration
Scalable multithreading poses challenges to I/O, and the performance of a thread-safe I/O strategy may depend upon many factors, including I/O latencies, whether tasks are CPU- or I/O-intensive, and thread count. In a multithreaded framework, an I/O infrastructure must efficiently supply event data to and collect it from many threads processing multiple events in flight. [...]
ATL-SOFT-SLIDE-2018-429.- Geneva : CERN, 2018 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
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2.
(91)
I/O in the ATLAS multithreaded framework / Cranshaw, Jack (Argonne National Laboratory) ; Van Gemmeren, Peter (Argonne National Laboratory) ; Nowak, Marcin (Brookhaven National Laboratory (BNL)) ; Malon, David (Argonne National Laboratory)
Scalable multithreading poses challenges to I/O for the ATLAS experiment. [...]
ATL-SOFT-PROC-2018-027. - 2018. - 5 p.
Original Communication (restricted to ATLAS) - Full text
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3.
(47)
ATLAS Event Store and I/O developments in support for Production and Analysis in Run 3 / Nowak, Marcin (Brookhaven National Laboratory (BNL)) ; Van Gemmeren, Peter (Argonne National Laboratory) ; Cranshaw, Jack (Argonne National Laboratory)
During the long LHC shutdown, ATLAS experiment is preparing several fundamental changes to its offline event processing framework and analysis model [...]
ATL-SOFT-PROC-2020-015. - 2020. - 5 p.
Original Communication (restricted to ATLAS) - Full text - Fulltext from publisher
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ATLAS Event Store and I/O developments in support for Production and Analysis in Run 3 / Nowak, Marcin (Brookhaven National Laboratory (BNL)) ; Van Gemmeren, Peter (Argonne National Laboratory) ; Cranshaw, Jack (Argonne National Laboratory) /ATLAS Collaboration
During the long shutdown, ATLAS is preparing several fundamental changes to its offline event processing framework and analysis model. These include moving to multi-threaded reconstruction and simulation and reducing data duplication during derivation analysis by producing a combined mini-xAOD stream. [...]
ATL-SOFT-SLIDE-2019-777.- Geneva : CERN, 2019 - 1 p. 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
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5.
(25)
ATLAS Event Data Organization and I/O Framework Capabilities in Support of Heterogeneous Data Access and Processing Models / Malon, David (Argonne National Laboratory) ; Cranshaw, Jack (Argonne National Laboratory) ; van Gemmeren, Peter (Argonne National Laboratory) ; Nowak, Marcin (Brookhaven National Laboratory (BNL))
Choices in persistent data models and data organization have significant performance ramifications for data-intensive scientific computing. [...]
ATL-SOFT-PROC-2016-010. - 2016. - 4 p.
Original Communication (restricted to ATLAS) - Full text - Full text
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6.
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ATLAS Event Data Organization and I/O Framework Capabilities in Support of Heterogeneous Data Access and Processing Models / Malon, David (Argonne National Laboratory) ; Cranshaw, Jack (Argonne National Laboratory) ; van Gemmeren, Peter (Argonne National Laboratory) ; Nowak, Marcin (Brookhaven National Laboratory (BNL)) /ATLAS Collaboration
Choices in persistent data models and data organization have significant performance ramifications for data-intensive scientific computing. In experimental high energy physics, organizing file-based event data for efficient per-attribute retrieval may improve the I/O performance of some physics analyses but hamper the performance of processing that requires full-event access. [...]
ATL-SOFT-SLIDE-2016-431.- Geneva : CERN, 2016 - 1 p. Fulltext: ATLAS_IO_poster1 - PDF; ATL-SOFT-SLIDE-2016-431 - PDF; External link: Original Communication (restricted to ATLAS)
In : 38th International Conference on High Energy Physics, Chicago, IL, USA, 03 - 10 Aug 2016
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7.
(23)
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
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8.
(22)
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
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9.
(22)
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
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10.
(22)
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
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