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  1. 661
    Enlace del recurso
    Enlace del recurso
    Online Artículo
    La enseñanza con sentido y equidad
  2. 662
    por Salzmann, C, Van Tilburg, J
    Publicado 2008
    “…Mother volumes are added to decrease the CPU consumption and finally several scans are made to compare the material budget between the DC06 geometry and the new 2008 geometry. …”
    Enlace del recurso
    TT detector description and implementation of the survey measurements
  3. 663
    “…Various Physics Lists are possible and useful, according to the specific application domains (e.g. high-energy physics, shielding, space-application, medical physics, etc.), and the best compromise between accuracy and CPU time that the user can accept. Users are allowed to write their own preferred Physics List, but several pre-defined ones are available in GEANT4 for convenience, and indeed they are used by the large majority of users. …”
    Enlace del recurso
    GEANT4 Physics Lists for HEP
  4. 664
    por Benelli, Gabriele
    Publicado 2009
    “…The computing requirements constrain performance in terms of CPU time, memory footprint and event size on disk to allow for planning and managing the computing infrastructure necessary to handle the needs of the experiment. …”
    Enlace del recurso
    Enlace del recurso
    The CMS software performance at the start of data taking
  5. 665
    por Wasicki, C
    Publicado 2012
    “…This has a significant impact on event reconstruction such as additional demands on CPU time and disk space as well as an increased probability to reconstruct fake tracks. …”
    Enlace del recurso
    Track and vertex reconstruction of the ATLAS Inner Detector in the high multiplicity LHC environment
  6. 666
    por Rauschmayr, N, Streit, A
    Publicado 2013
    “…This paper shows that in most of the applications, used at CERN, the memory overhead can be reduced between 3 % and 35 % and the corresponding difference in CPU-time can be improved up to 30 %.…”
    Enlace del recurso
    Evaluation of x32-ABI in the Context of LHC Applications
  7. 667
    por Cairo, Valentina Maria
    Publicado 2015
    “…These include novel techniques developed to improve the performance in the dense cores of jets, optimisation for the expected conditions, and a big software campaign which lead to more than a factor of three decrease in the CPU time needed to process each recorded event.…”
    Enlace del recurso
    Improvements to ATLAS Track Reconstruction for Run-II
  8. 668
    “…The standard simulation of the LHCb detector uses the Geant4 simulation toolkit, which provides very accurate results but is CPU-expensive. A number of faster simulation options are available or under development. …”
    Enlace del recurso
    Tuning of the Shower Library for the LHCb calorimeter fast simulation
  9. 669
    por Michielin, Emanuele
    Publicado 2016
    “…The LHCb trigger system has been upgraded to exploit the real-time alignment, calibration and analysis capabilities of LHCb in Run-II. An increase in the CPU and disk capacity of the event filter farm, combined with improvements to the reconstruction software, mean that efficient, exclusive selections can be made in the first stage of the High Level Trigger (HLT1). …”
    Enlace del recurso
    LHCb-The LHCb trigger in Run II
  10. 670
    “…We present recent developments of the direct space charge (SC) suite, which is available for both the CPU and GPU. A new 3D particle-in-cell solver with open boundary conditions has been implemented. …”
    Enlace del recurso
    Space Charge Modules for PyHEADTAIL
  11. 671
    “…It is fast enough to fit into the CPU time budget of the software trigger farm and thus reduces the combinatorics of the decay reconstructions, as well as the number of tracks that need to be processed by the particle identification algorithms. …”
    Enlace del recurso
    Fast neural-net based fake track rejection in the LHCb reconstruction
  12. 672
    por Zhao, Fanyi
    Publicado 2017
    “…It is important to identify the decay vertices of heavy-flavour hadrons produced by the primary proton-proton interaction in an efficient, CPU-performant manner. In this project, I will learn about the LHCb trigger and experimental programme and investigate alternative models for reconstructing these vertices, which may scale more efficiently to the upgraded trigger conditions than the current model.…”
    Enlace del recurso
    Particle combinations in the LHCb Upgrade trigger
  13. 673
    por Holmes, Tova Ray
    Publicado 2018
    “…This system massively reduces the CPU required to identify track-based signatures like b-jets and taus, and allows for the suppression of pile-up effects on missing energy and jet triggers. …”
    Enlace del recurso
    The ATLAS FastTracker
  14. 674
    por The ATLAS collaboration
    Publicado 2021
    “…Performance figures in terms of CPU consumption for the key components of the reconstruction algorithm chain and their dependence on the pile-up are shown. …”
    Enlace del recurso
    Software Performance of the ATLAS Track Reconstruction for LHC Run 3
  15. 675
    por Schillaci, Zachary Michael
    Publicado 2021
    “…Performance figures in terms of CPU consumption for the key components of the reconstruction algorithm chain and their dependence on the pile-up are shown. …”
    Enlace del recurso
    Improvements to ATLAS Inner Detector Track reconstruction for LHC Run-3
  16. 676
    “…Correction of the transverse coupling based on the minimization of this new estimate shows improved performance in terms of resulting correction level and CPU time.…”
    Enlace del recurso
    Evaluation of the closest tune approach and its MAD-X implementation
  17. 677
    por Poreba, Aleksandra
    Publicado 2021
    “…These data are exported for subsequent analysis offline, and are used to understand the resource usage of the individual trigger selections in terms of the amount of CPU time and the amount of raw detector data which was required to perform the selection. …”
    Enlace del recurso
    The Trigger performance monitoring and rate predictions preparation for Run 3 at ATLAS experiment
  18. 678
    “…“UTStandalone” and “Track Matching” validation algorithms to improve the physics performance running on CPU using the Allen framework. Variable scanning and implementation of modified sequences and algorithms were implemented, to scan through multiple variables and find the optimal efficiency points while reducing reconstruction ghost rates i.e. fake tracks. …”
    Enlace del recurso
    Variable Scanning for Physics Efficiency Improvement in Upstream Tracking and Trackmatching Validation Algorithms in the Allen Framework
  19. 679
    por Olivero, Alessandro
    Publicado 2023
    “…Liqo enables the sharing of resources (e.g., CPU, memory, GPUs) and services (e.g., an existing cloud-native service) among different clusters, and facilitates the portability of workloads among different cloud providers, hence reducing the lock-in of the infrastructure provider. …”
    Enlace del recurso
    LIQO – Building and Orchestrating your Service Continuum
  20. 680
    por Saur, Miroslav
    Publicado 2023
    “…LHCb's second level trigger, deployed on a CPU server farm, not only selects events but performs an offline-quality alignment and calibration of the detector and uses this information to allow physics analysts to deploy essentially their full offline analysis level selections (including computing isolation, flavour tagging, etc) at the trigger level. …”
    Enlace del recurso
    Enlace del recurso
    LHCb HLT2: Real-time alignment, calibration, and software quality-assurance
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