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  1. 1401
    “…The anticipated availability of an improved fast simulation will enable ATLAS to produce significantly larger Monte Carlo samples with the available CPU, which will then be limited by insufficient disk resources. …”
    Enlace del recurso
    Enlace del recurso
    Evolution of the ATLAS analysis model for Run-3 and prospects for HL-LHC
  2. 1402
    “…In this contribution, we present details on the integration of new components, such as HPC computing resources to execute ATLAS simulation workflows; the development of new techniques to improve efficiency in a cost-effective way, such as storage and CPU federations; and improvements in Data Organization, Management and Access through storage consolidations (“data-lakes”), the use of data Caches, and improving experiment data catalogs, like Event Index. …”
    Enlace del recurso
    Enlace del recurso
    Computing Activities at the Spanish Tier-1 and Tier-2s for the ATLAS experiment towards the LHC Run3 and High Luminosity (HL-LHC) periods
  3. 1403
    por Montejo Berlingen, Javier
    Publicado 2020
    “…We present the tools that allow us to predict and optimize the trigger rates and CPU consumption for the anticipated LHC luminosities and outline the system to monitor deviations from the individual trigger target rates, and to quickly react to the changing LHC conditions and data taking scenarios. …”
    Enlace del recurso
    Triggering in the ATLAS Experiment
  4. 1404
    “…A special Geant4 Physics List configuration FTFP\_BERT\_EMM will be described, which provides a compromise between simulation accuracy and CPU performance. A significant fraction of time for simulation of CMS events is spent on tracking of charged particles in a magnetic field. …”
    Enlace del recurso
    CMS Full Simulation for Run-3
  5. 1405
    “…In this presentation we will first highlight issues in distributed heterogeneous computing, such as the insulation of users from the complexities of distributed heterogeneous providers, complex resource provisioning for CPU and GPU hybrid applications, integration of PaaS, CaaS, and FaaS providers, smart workload routing, automatic data placement, seamless execution of complex workflows, interoperability between pledged and user resources, and on-demand data production. …”
    Enlace del recurso
    Utilizing Distributed Heterogeneous Computing with PanDA in ATLAS
  6. 1406
    “…This infrastructure is built on a set of federated HTCondor pools, currently aggregating 400k CPU cores distributed worldwide and supporting the simultaneous execution of over 200k computing tasks. …”
    Enlace del recurso
    HPC resources for CMS offline computing: an integration and scalability challenge for the Submission Infrastructure
  7. 1407
    “…These facilities often feature diverse compute resources, including alternative CPU architectures like ARM and IBM Power, as well as a variety of GPU specifications. …”
    Enlace del recurso
    The integration of heterogeneous resources in the CMS Submission Infrastructure for the LHC Run 3 and beyond
  8. 1408
    por Lawrence, John
    Publicado 2023
    “…Using the TopEFT application, based on the Coffea data analysis framework and the Work Queue distributed executor, we reliably process 2TB of data, 375 CPU-hours analysis codes to completion in about one hour on hundreds of nodes, albeit with a high variability due to competing system loads. …”
    Enlace del recurso
    Toward Ten-Minute Turnaround in CMS Data Analysis The View from Notre Dame
  9. 1409
    “…Detailed detector simulation is the major consumer of CPU resources at LHCb, having used more than 90% of the total computing budget during Run 2 of the Large Hadron Collider at CERN. …”
    Enlace del recurso
    The LHCb ultra-fast simulation option, Lamarr: design and validation
  10. 1410
    “…The status of software development is presented, with a focus on the integration issues. The physics and CPU performance of current reconstruction and selection algorithm prototypes is summarized in relation with projected parameters of the farm and taking into account the requirements of the CMS physics program. …”
    Enlace del recurso
    The CMS High Level Trigger
  11. 1411
    “…The ALICE Grid production system is currently used by a fair share of organized and individual user analysis, consuming up to 30% or the available r esources and ranging from fully I/O - bound analysis code to CPU intensive correlations or resonances studies. …”
    Enlace del recurso
    Enlace del recurso
    Performance optimisations for distributed analysis in ALICE
  12. 1412
    “…Performance evaluation for the relative speedup compared to the corresponding sequential execution on CPU is presented as well.…”
    Enlace del recurso
    Enlace del recurso
    High energy electromagnetic particle transportation on the GPU
  13. 1413
    “…We present NaNet, a FPGA-based PCIe Network Interface Card design featuring Remote Direct Memory Access towards CPU and GPU memories plus a transport protocol offload module characterized by cycle-accurate upper-bound handling. …”
    Enlace del recurso
    Enlace del recurso
    A FPGA-based Network Interface Card with GPUDirect enabling realtime GPU computing in HEP experiments
  14. 1414
    por Rauschmayr, Nathalie
    Publicado 2015
    “…As a result, much more CPU time is normally requested than actually needed. …”
    Enlace del recurso
    Enlace del recurso
    A History-based Estimation for LHCb job requirements
  15. 1415
    “…The GeantV project aims at developing a high performance detector simulation system integrating fast and full simulation that can be ported on different computing architectures, including CPU accelerators. After more than two years of R&D; the project has produced a prototype capable of transporting particles in complex geometries exploiting micro-parallelism, SIMD and multithreading. …”
    Enlace del recurso
    Enlace del recurso
    The GeantV project: preparing the future of simulation
  16. 1416
    “…The board has a bandwidth of 480 Gbits/s in both input and output over optical links and 100 Gbits/s over the PCI Express bus to the CPU. We will present how data circulate through the board and in the PC server for achieving the event building. …”
    Enlace del recurso
    Enlace del recurso
    The PCIe-based readout system for the LHCb experiment
  17. 1417
    “…The detector signals are read out and collected with LHCb-type front-end electronics and a DAQ system consisting of a CPU farm. Tracks and vertices will be reconstructed to obtain a beam profile in real time. …”
    Enlace del recurso
    Enlace del recurso
    Employing Beam-Gas Interaction Vertices for Transverse Profile Measurements
  18. 1418
    “…Comparisons with a software reference implementation confirm significant savings on CPU processing power using the hardware implementation. …”
    Enlace del recurso
    Enlace del recurso
    FPGA based data processing in the ALICE High Level Trigger in LHC Run 2
  19. 1419
    por Gaede, F, Hegner, B, Mato, P
    Publicado 2017
    “…In addition, it was developed with concurrency in mind in order to support the use of modern CPU features, for example giving basic support for vectorization techniques.…”
    Enlace del recurso
    Enlace del recurso
    info:eu-repo/semantics/article
    PODIO: An Event-Data-Model Toolkit for High Energy Physics Experiments
  20. 1420
    por Vincke, H, Theis, C
    Publicado 2018
    “…This has become possible due to the use of ~100 CPU years’ worth of FLUKA Monte Carlo simulations as well as the JEFF cross-section library for neutrons < 20 MeV. …”
    Enlace del recurso
    Enlace del recurso
    ActiWiz 3 – an overview of the latest developments and their application
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