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Conditions Data Handling In The Multithreaded ATLAS Framework
/ Leggett, Charles (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Shapoval, Illya (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Snyder, Scott (Brookhaven National Laboratory (BNL)) ; Tsulaia, Vakhtang (Lawrence Berkeley National Laboratory and University of California, Berkeley)
/ATLAS Collaboration
In preparation for Run 3 of the LHC, the ATLAS experiment is migrating its offline software to use a multithreaded framework, which will allow multiple events to be processed simultaneously. This implies that the handling of non-event, time-dependent (conditions) data, such as calibrations and geometry, must also be extended to allow for multiple versions of such data to exist simultaneously. [...]
ATL-SOFT-SLIDE-2018-431.-
Geneva : CERN, 2018 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018
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Simulating HEP Workflows on Heterogeneous Architectures
/ Leggett, Charles (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Shapoval, Illya (Lawrence Berkeley National Laboratory and University of California, Berkeley)
/ATLAS Collaboration
The next generation of supercomputing facilities, such as Oak Ridge's Summit and Lawrence Livermore's Sierra, show an increasing use of GPGPUs and other accelerators in order to achieve their high FLOP counts. This trend will only grow with exascale facilities. [...]
ATL-SOFT-SLIDE-2018-975.-
Geneva : CERN, 2018 - 14 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 14th eScience IEEE International Conference, Amsterdam, Netherlands, 29 Oct - 1 Nov 2018
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Simulating Diverse HEP Workflows on Heterogeneous Architectures
/ Leggett, Charles (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Shapoval, Illya (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Clemencic, Marco (CERN) ; Jones, Christopher (Fermi National Accelerator Lab. (US))
/ATLAS Collaboration
The next generation of HPC and HTC facilities, such as Oak Ridge’s Summit, Lawrence Livermore’s Sierra, and NERSC's Perlmutter, show an increasing use of GPGPUs and other accelerators in order to achieve their high FLOP counts. This trend will only grow with exascale facilities such as A21. [...]
ATL-SOFT-SLIDE-2019-074.-
Geneva : CERN, 2019 - 32 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
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Raythena: a vertically integrated scheduler for ATLAS applications on heterogeneous distributed resources
/ Muskinja, Miha (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; 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) ; Shapoval, Illya (Lawrence Berkeley National Laboratory and University of California, Berkeley)
/ATLAS Collaboration
The ATLAS experiment has successfully integrated High-Performance Computing (HPC) resources in its production system. Unlike the current generation of HPC systems, and the LHC computing grid, the next generation of supercomputers is expected to be extremely heterogeneous in nature: different systems will have radically different architectures, and most of them will provide partitions optimized for different kinds of workloads. [...]
ATL-SOFT-SLIDE-2019-812.-
Geneva : CERN, 2019
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
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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
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