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  1. 581
    “…The LHCb Experiment will be upgraded to a trigger-less system reading out the full detector at 40 MHz event rate with all selection algorithms executed in a CPU farm. The upgraded Vertex Locator (VELO) will be a hybrid pixel detector read out by the ”VeloPix” ASIC with on-chip zero-suppression. …”
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    Validation of the Front-End Electronics and Firmware for LHCb Vertex Locator
  2. 582
    por Cruz Sánchez, Gloria Elena
    Publicado 2022
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    Online Artículo
    Editorial
  3. 583
    “…Since this overhead varies the types of workload whether they are memory intensive, CPU intensive or network I/O bound, and could lead to unpredictable deadline estimation for the running jobs in the system. …”
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    Dynamic scheduling of virtual machines running hpc workloads in scientific grids
  4. 584
    por Khalid, Omer
    Publicado 2011
    “…This work led to evaluation of various scheduling strategies used by the Xen hypervisor to measure the sensitivity of job performance to the amount of CPU and memory allo- cated under various configurations. …”
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    Reducing Deadline Miss Rate for Grid Workloads running in Virtual Machines: a deadline-aware and adaptive approach
  5. 585
    por Gorbunov, Sergey, Rohr, David, Aamodt, Kenneth, Alt, Torsten, Appelshauser, Harald, Arend, Andreas, Bach, Matthias, Becker, Bruce, Bottger, Stefan, Breitner, Timo, Busching, Henner, Chattopadhyay, Sukalyan, Cleymans, Jean, Cicalo, Corrado, Das, Indranil, Djuvsland, Oystein, Engel, Heiko, Erdal, Hege Austrheim, Fearick, Roger, Haaland, Oystein Senneset, Hille, Per Thomas, Kalcher, Sebastian, Kanaki, Kalliopi, Kebschull, Udo Wolfgang, Kisel, Ivan, Kretz, Matthias, Lara, Camillo, Lindal, Sven, Lindenstruth, Volker, Masoodi, Arshad Ahmad, Ovrebekk, Gaute, Panse, Ralf, Peschek, Jorg, Ploskon, Mateusz, Pocheptsov, Timur, Ram, Dinesh, Rascanu, Theodor, Richter, Matthias, Rohrich, Dieter, Ronchetti, Federico, Skaali, Bernhard, Smorholm, Olav, Stokkevag, Camilla, Steinbeck, Timm Morten, Szostak, Artur, Thader, Jochen, Tveter, Trine, Ullaland, Kjetil, Vilakazi, Zeblon, Weis, Robert, Yin, Zhong-Bao, Zelnicek, Pierre
    Publicado 2011
    “…Additionally a pipeline was implemented so that the tracking on the GPU, the initialization and the output process ed by the CPU, as well as the DMA transfer can overlap. The GPU tracking algorithm significantly outperforms the CPU version for large events while it entirely maintains its efficiency.…”
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    ALICE HLT high speed tracking on GPU
  6. 586
    “…TCP and the socket abstraction have barely changed over the last two decades, but at the network layer there has been a giant leap from a few megabits to 100 gigabits in bandwidth. At the same time, CPU architectures have evolved into the multicore era and applications are expected to make full use of all available resources. …”
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    Achieving High Performance with TCP over 40GbE on NUMA architectures for CMS Data Acquisition
  7. 587
    “…Benchmarks of this functionality show a significant performance increase when utilizing a GPU compared to a CPU. Furthermore, this extension is employed to study the sensitivity on the mixing parameters x and y in a time-dependent amplitude analysis of the decay D0 → K+π−π+π−. …”
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    Amplitude analysis of four-body decays using a massively-parallel fitting framework
  8. 588
    por Torro Pastor, Emma
    Publicado 2018
    “…We present the tools that allow us to predict and optimize the trigger rates and CPU consumption for the anticipated LHC luminosities. …”
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    The ATLAS Trigger Menu design for higher luminosities in Run 2
  9. 589
    “…The motivation arises in the possibility of finding a method to reliably extrapolate the results of numerical simulations well beyond what is currently possible in terms of CPU time. In earlier work, a proposal for a model based on Nekhoroshev theorem and Kolmogorov--Arnold--Moser theory was made. …”
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    Advances on the modelling of the time evolution of dynamic aperture of hadron circular accelerators
  10. 590
    “…In a typical use case, the NLKF outperforms the so-called Extended Kalman Filter in the accuracy and precision of the track parameter estimates obtained, with an increase in CPU time below a factor of two. It is therefore a promising approach for use in applications where precise estimation of track parameters is a key concern.…”
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    A Non-Linear Kalman Filter for track parameters estimation in High Energy Physics
  11. 591
    “…During Run 2 of the Large Hadron Collider at CERN, the LHCb experiment has spent more than 80% of the pledged CPU time to produce simulated data samples. The upgraded LHCb detector, being commissioned now, will be able to collect much larger data samples, requiring many more simulated events to analyze the collected data. …”
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    Lamarr: the ultra-fast simulation option for the LHCb experiment
  12. 592
    por Wynhoff, Stephan
    Publicado 2003
    “…Detailed detector simulation and reconstruction of physics objects at the LHC are very CPU intensive and hence time consuming due to the high energy and multiplicity of the Monte-Carlo events and the complexity of the detectors. …”
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    FAMOS: A Dynamically Configurable System for Fast Simulation and Reconstruction for CMS
  13. 593
    “…NaNet features a Network Interface module that implements RDMA-style communications both with the host (CPU) and the GPU accelerators memories (GPUDirect P2P/RDMA) relying on the services of a high performance PCIe Gen3 x8 core. …”
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    NaNet: Design of FPGA-based network interface cards for real-time trigger and data acquisition systems in HEP experiments
  14. 594
    “…The SPIDR system consists of an FPGA board with memory and various communication interfaces, FPGA firmware, CPU subsystem and an API library on the PC . The FPGA firmware can be adapted to read out other ASICs by re-using IP blocks. …”
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    SPIDR, a general-purpose readout system for pixel ASICs
  15. 595
    “…In this report, we will present design considerations, implementation details, and computing performance of parallel pRNG engines on both CPU and GPU. Reproducibility of propagating multiple particles in parallel for HEP event simulation is demonstrated, using GeantV-based examples, for both sequential and fine-grain track-level concurrent simulation wor kflows. …”
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    Vectorization of Random Number Generation and Reproducibility of Concurrent Particle Transport Simulation
  16. 596
    “…As pattern recognition algorithms exhibit combinatorial scaling to high track multiplicities, they become the largest contributor to the CPU consumption within event reconstruction, particularly at current and future hadron colliders such as the LHC, HL-LHC and FCC-hh. …”
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    The Acts project: track reconstruction software for HL-LHC and beyond
  17. 597
    “…Two computers (one with an Intel Xeon Gold 6142 CPU and the other with an Intel Core i7-11700 CPU) running Ubuntu Linux are used in this experiment. …”
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    Online Artículo Texto
    Parallel Multi-Deque Partition Dual-Deque Merge sorting algorithm using OpenMP
  18. 598
    “…BACKGROUND: Artificial intelligence (AI) programs that train on large datasets require powerful compute infrastructure consisting of several CPU cores and GPUs. JupyterLab provides an excellent framework for developing AI programs, but it needs to be hosted on such an infrastructure to enable faster training of AI programs using parallel computing. …”
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    Online Artículo Texto
    An accessible infrastructure for artificial intelligence using a Docker-based JupyterLab in Galaxy
  19. 599
    “…In addition, SVR-mediated GWAS was able to identify more relevant QTL underlying the target traits than the FarmCPU method. Our findings demonstrate the potential use of machine learning algorithms in GWAS to detect durable QTL associated with soybean seed quality traits suitable for genomic-based breeding approaches. …”
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    Online Artículo Texto
    Application of SVR-Mediated GWAS for Identification of Durable Genetic Regions Associated with Soybean Seed Quality Traits
  20. 600
    “…Fast parallelised open-source implementations of the extra-dimensional golden-angle radial sparse parallel algorithm were developed for central processing unit (CPU) and graphics processing unit (GPU) architectures. …”
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    Online Artículo Texto
    Accelerating 4D image reconstruction for magnetic resonance-guided radiotherapy
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