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  1. 961
    por Brondolin, Erica
    Publicado 2022
    “…Initially CLUE was developed in a standalone repository that allows performance benchmarking with respect to its CPU and GPU implementations, demonstrating the power of algorithmic parallelization in the coming era of heterogeneous computing. …”
    Enlace del recurso
    Enlace del recurso
    CLUE a clustering algorithm for current and future experiments
  2. 962
    por CMS Collaboration
    Publicado 2022
    “…Initially CLUE was developed in a standalone repository that allow performance benchmarking with respect to its CPU and GPU implementations, demonstrating the power of algorithmic parallelization in the coming era of heterogeneous computing. …”
    Enlace del recurso
    CLUE: a clustering algorithm for current and future experiments
  3. 963
    “…CERN uses the world’s largest scientific computing grid, WLCG, for distributed data storage and processing. Monitoring of the CPU and storage resources is an important and essential element to detect operational issues in its systems, for example in the storage elements, and to ensure their proper and efficient function. …”
    Enlace del recurso
    Enlace del recurso
    Analysis of data integrity and storage quality of a distributed storage system
  4. 964
    por Guerreschi, Gian Giacomo
    Publicado 2022
    “…Their execution is particularly challenging for current quantum computing systems since they require a tight interaction between the host CPU and the quantum accelerator. Here we present Intel Quantum SDK, an LLVM-based C++ compiler toolchain to efficiently compile and execute variational algorithms. …”
    Enlace del recurso
    Intel Quantum SDK: A Platform for Efficient Execution of Variational Algorithms
  5. 965
    “…This method becomes very CPU intensive when detailed scans in 4D, and even more in higher dimensions, are used to compute the dynamic aperture. …”
    Enlace del recurso
    Enlace del recurso
    Determination of the Phase-Space Stability Border with Machine Learning Techniques
  6. 966
    por Vilasis Cardona, Xavier
    Publicado 2023
    “…In its second stage, a CPU farm is used to reconstruct the full event and perform candidate selections, which are persisted for offline use with an output rate of about 10GB/s. …”
    Enlace del recurso
    Event and data persistency models for the LHCb Real Time Analysis System
  7. 967
    por Gunther, Andre
    Publicado 2023
    “…This thesis describes LHCb’s CPU-based track reconstruction for Run 3, highlighting the Forward tracking, which is the algorithm that reconstructs trajectories of charged particles traversing the entire tracking system. …”
    Enlace del recurso
    Track Reconstruction Development and Commissioning for LHCb's Run 3 Real-time Analysis Trigger
  8. 968
    por Van Berkum, Stefan
    Publicado 2023
    “…The feature currently supports basic graph neural networks and preliminary results suggest that it is roughly five times faster than TorchScript (PyTorch's native C++ inference code generator) on a single CPU thread, for a basic graph-classification model with two graph convolutions. …”
    Enlace del recurso
    A ROOT feature for parsing PyTorch Geometric graph neural networks into C++ code for fast inference
  9. 969
    “…A detailed and accurate simulation of the detector response using the Geant4 toolkit is a time and CPU consuming process. With the upcoming high luminosity LHC upgrade, with more complex events and a much increased trigger rate, the amount of required simulated events will increase. …”
    Enlace del recurso
    Enlace del recurso
    Meta-learning for multiple detector geometry modeling
  10. 970
    por Flix Molina, Jose
    Publicado 2023
    “…The deployment and configuration of the system and the developed monitoring tools will be shown, as well as data popularity studies in relation to the optimization of the cache configuration, the effects on CPU efficiency improvements for analysis tasks, and the cost benefits and impact of including this solution in the region.…”
    Enlace del recurso
    A study case of Content Delivery Network solutions for the CMS experiment
  11. 971
    por Flix Molina, Jose
    Publicado 2023
    “…The deployment and configuration of the system and the developed monitoring tools will be shown, as well as data popularity studies in relation to the optimization of the cache configuration, the effects on CPU efficiency improvements for analysis tasks, and the cost benefits and impact of including this solution in the region.…”
    Enlace del recurso
    A study case of Content Delivery Network solutions for the CMS experiment
  12. 972
    “…We have benchmarked the ONNX inference with GPU and CPU using NERSCs Perlmutter cluster by building a docker image of the CMS software framework.…”
    Enlace del recurso
    End-to-end deep learning inference with CMSSW via ONNX using docker
  13. 973
    “…These resources include a 256 CPU HP Exemplar of ~4600 SPECfp95, a 600 TByte High Performance Storage System (HPSS), and local/wide area links based on OC3 ATM. …”
    Enlace del recurso
    Enlace del recurso
    The GIOD Project-Globally Interconnected Object Databases
  14. 974
    por Jacobsson, R
    Publicado 2003
    “…Secondly, the note discusses the consequences of eliminating the L1 Trigger Sorter module located between the L1 trigger processing in the CPU farm and the TFC system. Two possible implementations are described: sorting the L1 triggers in the Readout Supervisor "ODIN" or handling unsorted L1 triggers fully. …”
    Enlace del recurso
    Implementing the L1 trigger path
  15. 975
    por Berst, J D, Lecoq, J, Meyer, J M, Perrin, M
    Publicado 1981
    “…This in turn allows an efficient online control and savings of approximately=100 h of CDC CPU time. In experiment NA10 (1980-1981), physics requires an increase in beam intensity by a factor of 10. …”
    Enlace del recurso
    Enlace del recurso
    Use of fast processors for on line triggering and event filtering
  16. 976
    por Cawthraw, M, Chilvers, A
    Publicado 1981
    “…Speed is achieved by minimising the number of microprocessor instructions, e.g. data does not pass through the CPU of its memory and program counting loops are replaced by either hardware counters or the stored repetition of the required number of instructions. (0 refs).…”
    Enlace del recurso
    Enlace del recurso
    The UA1 monitor read out
  17. 977
    por Lefébure, V
    Publicado 2005
    “…The tests were successfully terminated after 6 weeks of running on a stepwise increasing farm size from 50 to up to 700 dual CPU nodes. Functionality and verification tests of the ATLAS DAQ and HLT parts of the system were carried out and selected performance measurements were taken. …”
    Enlace del recurso
    Report about the ATLAS TDAQ Data Challenge Support by IT-FIO/FS
  18. 978
    “…Given the distributed nature of the Worldwide LHC Computing Grid and the way CPU resources are pledged and shared around the globe, Virtual Organizations (VOs) face the challenge of monitoring the use of these resources. …”
    Enlace del recurso
    Enlace del recurso
    Towards a centralized Grid Speedometer
  19. 979
    por Rauschmayr, N, Streit, A
    Publicado 2014
    “…A comparison between the parallel prototype and multiple independent Gaudi jobs in respect of CPU time and memory consumption will be shown. Furthermore, speedup must be predicted in order to find the limit beyond which the parallel prototype (GaudiMP) does not bring further scaling. …”
    Enlace del recurso
    Enlace del recurso
    Preparing the Gaudi framework and the DIRAC WMS for multicore job submission
  20. 980
    “…We have completed the transition to Geant4 version 10, we have made significant progress in reducing the CPU resources required to run our Geant4 simulation. …”
    Enlace del recurso
    Enlace del recurso
    Upgrades for the CMS simulation
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