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  1. 861
    “…Computing centers around the world participate in reprocessing providing tens of thousands of CPU-cores for a faster throughput. Reprocessing relies upon underlying ATLAS technologies providing reproducibility of results, scalable database access, orchestrated workflow and performance monitoring, dynamic workload sharing, and petascale data integrity control. …”
    Enlace del recurso
    ATLAS Detector Data Processing on the Grid
  2. 862
    por Espinal Curull, Xavier
    Publicado 2012
    “…This requires a precise setup involving disk and tape storage services, a computing cluster and the internal networking to prevent bottlenecks, overloads and undesired slowness that lead to losses cpu cycles and batch jobs failures. In this paper we point out relevant features for running a successful storage setup in an intensive HTC environment…”
    Enlace del recurso
    Dimensioning storage and computing clusters for efficient High Throughput Computing
  3. 863
    por Graciani Diaz, R
    Publicado 2012
    “…When necessary these roles can be mixed to dedicate larger amounts of CPU power to any of these main activities. Differences in the model and deviations from previous estimates are described.…”
    Enlace del recurso
    LHCb Computing Resources: 2012, 2013 re-assessment and 2014 request
  4. 864
    por Clements, Alan
    Publicado 2000
    “…The book covers the core topics of such a course, including Boolean algebra and logic design; number bases and binary arithmetic; the CPU; assembly language; memory systems; and input/output methods and devices. …”
    Enlace del recurso
    The principles of computer hardware
  5. 865
    por Dubouchet, Frédéric
    Publicado 2013
    “…We show that it is possible to achieve one order of magnitude faster FFTs on a Fermi generation GPU than what can be done using a i7 generation Central Processing Unit (CPU). This makes online per bunch FFT computation and betatron tune measurement possible.…”
    Enlace del recurso
    Betatron tune measurement with the LHC damper using a GPU
  6. 866
    por Gutsche, Oliver
    Publicado 2013
    “…Given the distributed nature of the grid and the way CPU resources are pledged and scared around the globe, VOs are facing the challenge to monitor the use of these resources. …”
    Enlace del recurso
    Towards a centralized Grid Speedometer
  7. 867
    “…Such frameworks were traditionally based on serial code and relied on advances in CPU technologies, mainly clock frequency, to cope with increasing data volumes. …”
    Enlace del recurso
    Use of hardware accelerators for ATLAS computing
  8. 868
    por Koylazov, Vladimir
    Publicado 2014
    “…He participated in the implementation of algorithms for accurate light simulations and support for different hardware platforms, including CPU and GPGPU, as well as distributed calculations on clusters of machines.…”
    Enlace del recurso
    Particle Transport Simulation on Heterogeneous Hardware
  9. 869
    por Li, Zi Cai
    Publicado 1998
    “…The combined methods have many advantages over single methods: high accuracy of solutions, less CPU time, less computer storage, easy coupling with singularities as well as the complicated boundary conditions. …”
    Enlace del recurso
    Enlace del recurso
    Combined methods for elliptic equations with singularities, interfaces and infinities
  10. 870
    por Gasnikova, Ksenia, Glazov, Alexander
    Publicado 2016
    “…Detailed simulation of the electromagnetic showers using Geant4 is however very CPU intensive and various fast simulation methods were proposed instead. …”
    Enlace del recurso
    Frozen-shower simulation of electromagnetic showers in the ATLAS forward calorimeter
  11. 871
    “…Selected results from the validation of the physics outputs on these ARM 64-bit servers will be shown. CPU, memory and IO intensive benchmarks using ATLAS specific environment and infrastructure have been performed, with a particular emphasis on the performance vs. energy consumption.…”
    Enlace del recurso
    Enlace del recurso
    ATLAS software stack on ARM64
  12. 872
    por Novak, Tadej
    Publicado 2017
    “…Overlay is also being investigated for a premixed pile-up background to reduce CPU usage and I/O stress during the simulation. …”
    Enlace del recurso
    ATLAS Pile-up and Overlay Simulation
  13. 873
    “…ATLAS is reviewing together with CERN IT experts several typical simulation and data processing workloads for potential performance improvements in terms of memory and CPU usage, disk and network I/O. All ATLAS production and analysis grid jobs are instrumented to collect many performance metrics for detailed statistical studies using modern data analytics tools like ElasticSearch and Kibana. …”
    Enlace del recurso
    ATLAS Grid Workflow Performance Optimization
  14. 874
    “…It provides a significant improvement to high-momentum tracking without increasing the CPU budget. Furthermore, it allows for the verification of the expected alignment quality using high-statistics collision data. …”
    Enlace del recurso
    New fitting concept in ATLAS muon tracking for the LHC Run II.
  15. 875
    “…Based on the observation of low average CPU utilisation of several hundred file storage servers in the EOS storage system at CERN, the Batch on EOS Extra Resources (BEER) project developed an approach to also utilise these resources for batch processing. …”
    Enlace del recurso
    Enlace del recurso
    Sharing server nodes for storage and compute
  16. 876
    por Gasiorowski, Sean Joseph
    Publicado 2020
    “…But this accuracy comes with a high price in CPU, predominantly caused by the calorimeter simulation. …”
    Enlace del recurso
    Fast Calorimeter Simulation in ATLAS: FastCaloSimV2
  17. 877
    “…This leads on average to tens of thousands of particles emerging from the interaction region. The CPU time of traditional approaches of constructing hit combinations will grow exponentially as the number of simultaneous collisions increases at the HL-LHC, posing a major challenge. …”
    Enlace del recurso
    Hashing and similarity learning for tracking with the HL-LHC ATLAS detector
  18. 878
    por Svatos, Michal
    Publicado 2020
    “…The grid workflow system PanDA routinely utilizes more than 400 thousand CPU cores of those sites. The data management system Rucio manages about half an exabyte of detector and simulation data distributed among these sites. …”
    Enlace del recurso
    Providing the computing and data to the physicists
  19. 879
    por Hasib, Ahmed
    Publicado 2021
    “…However, a detailed detector simulation with Geant4 is often too slow and requires too many CPU resources. For more than 10 years, ATLAS has developed and utilized tools that replace the slowest component - the calorimeter shower simulation - by faster alternatives. …”
    Enlace del recurso
    AtlFast3: The Next Generation of Fast Simulation in ATLAS
  20. 880
    por Valassi, Andrea
    Publicado 2021
    “…--HTML-->Physics event generators are essential components of the data analysis software chain of high energy physics experiments, and important consumers of their CPU resources. Improving the software performance of these packages on modern hardware architectures, such as those deployed at HPC centers, is essential in view of the upcoming HL-LHC physics programme. …”
    Enlace del recurso
    Enlace del recurso
    Design and engineering of a simplified GPU workflow execution for the Madgraph5_aMC@NLO event generator
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