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CERN Document Server 2,023 records found  1 - 10nextend  jump to record: Search took 0.40 seconds. 
1.
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Simulating HEP Workflows on Heterogeneous Architectures / Leggett, Charles (LBL, Berkeley) ; Shapoval, Illya (LBL, Berkeley) /ATLAS
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. [...]
2018 - 1 p. - Published in : 10.1109/eScience.2018.00087
In : 14th eScience IEEE International Conference, Amsterdam, Netherlands, 29 Oct - 1 Nov 2018, pp.343
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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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Simulating Diverse HEP Workflows on Heterogeneous Architectures / Leggett, Charles (LBL, Berkeley) ; Shapoval, Illya (LBL, Berkeley) ; Clemencic, Marco (CERN) ; Jones, Christopher (Fermilab)
We evaluate key patterns and estimate throughput bounds of simulated transformation of conventional high energy physics (HEP) data processing workflows to heterogeneous equivalents. The simulation parameter space includes the number of offloaded tasks, CPU/accelerator ratios of intra-task computations, offload latencies, and run time efficiency of offloaded computations. [...]
FERMILAB-CONF-19-719-SCD.- IOP, 2020 - 6 p. - Published in : J. Phys.: Conf. Ser. 1525 (2020) 012030 Fulltext: PDF; External links: Open Access article; Fermilab Library Server (fulltext available)
In : 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Saas Fee, Switzerland, 11 - 15 Mar 2019, pp.012030
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Exascale Computing at ORNL Past, Current, and Future: Opportunities for High Energy Physics / Evans, Thomas (speaker) (Oak Ridge National Laboratory)
The Oak Ridge Leadership Computing Facility (OLCF) has been the leading driver of the advancement of high performance computing from petascale into the exascale era. In 2009, Jaguar achieved 2.3 PetaFlop performance.  Last month OLCF's newest machine, Frontier, entered the exaflop era by achieving a full machine measured peak performance of 1.1 ExaFlop.  The fundamental architectural change that has enabled this advance has been the increasing incorporation of accelerator hardware in the form of ever more powerful GPUs. [...]
2022 - 4973. CERN Computing Seminar External link: Event details In : Exascale Computing at ORNL Past, Current, and Future: Opportunities for High Energy Physics
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Bringing heterogeneity to the CMS software framework / Bocci, Andrea (CERN) ; Dagenhart, David (Fermilab) ; Innocente, Vincenzo (CERN) ; Jones, Christopher (Fermilab) ; Kortelainen, Matti (Fermilab) ; Pantaleo, Felice (CERN) ; Rovere, Marco (CERN) /CMS Collaboration
The advent of computing resources with co-processors, for example Graphics Processing Units (GPU) or Field-Programmable Gate Arrays (FPGA), for use cases like the CMS High-Level Trigger (HLT) or data processing at leadership-class supercomputers imposes challenges for the current data processing frameworks. These challenges include developing a model for algorithms to offload their computations on the co-processors as well as keeping the traditional CPU busy doing other work. [...]
arXiv:2004.04334; FERMILAB-CONF-19-545-SCD; CMS-CR-2020-033.- Geneva : CERN, 2020 - 7 p. - Published in : EPJ Web Conf. 245 (2020) 05009 Fulltext: epjconf_chep2020_05009 (1) - PDF; fermilab-conf-19-545-scd - PDF; 2004.04334 - PDF; fulltext1790694 - PDF; CR2020_033 - PDF; External link: Fermilab Accepted Manuscript
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.05009
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Raythena: a vertically integrated scheduler for ATLAS applications on heterogeneous distributed resources / Muškinja, Miha (LBL, Berkeley) ; Calafiura, Paolo (LBL, Berkeley) ; Leggett, Charles (LBL, Berkeley) ; Shapoval, Illya (LBL, Berkeley) ; Tsulaia, Vakho (LBL, Berkeley) /ATLAS Collaboration
The ATLAS experiment has successfully integrated HighPerformance Computing resources (HPCs) 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. [...]
2020 - 6 p. - Published in : EPJ Web Conf. 245 (2020) 05042 Fulltext: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.05042
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Preparing the CERN machine-learned particle-flow model for Exascale using Horovod: Experience and performance studies on the Flatiron and Jülich supercomputers / Sørlie, Lars
There is an increase in interest of showing the importance of HPC for Artificial In- telligence and Artificial Intelligence for HPC [...]
CERN-THESIS-2022-182 - Trondheim : NTNU, 2022-11-01. - 40 p.

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Commissioning CMS online reconstruction with GPUs /CMS Collaboration
Building on top of the multithreading functionality that was introduced in Run-2, the CMS software framework (CMSSW) has been extended in Run-3 to offload part of the physics reconstruction to NVIDIA GPUs. The first application of this new feature is the High Level Trigger (HLT): the new computing farm installed at the beginning of Run-3 is composed of 200 nodes, and for the first time each one is equipped with two AMD Milan CPUs and two NVIDIA T4 GPUs. [...]
CMS-DP-2023-004; CERN-CMS-DP-2023-004.- Geneva : CERN, 2022 - 22 p. Fulltext: PDF;
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GPU Usage in ATLAS Reconstruction and Analysis / Krasznahorkay, Attila (European Laboratory for Particle Physics, CERN) ; Leggett, Charles (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) ; Mete, Alaettin Serhan (Argonne National Laboratory) /ATLAS Collaboration
With GPUs and other kinds of accelerators becoming ever more accessible, High Performance Computing Centres all around the world using them ever more, ATLAS has to find the best way of making use of such accelerators in much of its computing. Tests with GPUs -- mainly with CUDA -- have been performed in the past in the experiment. [...]
ATL-SOFT-SLIDE-2019-809.- 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
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