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  1. 1521
    “…Furthermore, combining the segmentation network and the superpixel resizing framework, the proposed method achieves better results with an average time score of 4.6 s on CPU and 0.02 s on GPU.…”
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    Online Artículo Texto
    Lung Field Segmentation in Chest X-ray Images Using Superpixel Resizing and Encoder–Decoder Segmentation Networks
  2. 1522
    “…The prediction of the model accomplished 97.5% with less CPU time. These accurate results confirm that the BSM-EEG neural model has the ability to predict motor functions for brain-injured stroke therapy.…”
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    Online Artículo Texto
    A Decoding Prediction Model of Flexion and Extension of Left and Right Feet from Electroencephalogram
  3. 1523
    por Yan, Zhisheng, Yi, Jun
    Publicado 2022
    “…Our measurement of task-level time consumption demonstrates the importance of the camera CPU-GPU transfer and the server initialization, as well as the negligible effect of 360° video stitching on the delay metrics. …”
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    Online Artículo Texto
    Dissecting Latency in 360° Video Camera Sensing Systems †
  4. 1524
    por Zhou, Bo, Tong, Yu-Kai, Zhang, Ru, Ye, Anpei
    Publicado 2022
    “…The RamanNet model benefited from fewer model parameters that can be quickly trained even using CPU. Therefore, our method has the potential to rapidly and accurately identify bacterial species based on their Raman spectra and can be easily extended to other classification tasks based on Raman spectra.…”
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    Online Artículo Texto
    RamanNet: a lightweight convolutional neural network for bacterial identification based on Raman spectra
  5. 1525
    por Shin, Donghun, Cho, Joongho, Kim, Jaeho
    Publicado 2022
    “…As a result of the experiment, CPU usage decreased by 45.49% and latency decreased by more than 60%, while object detection accuracy increased by 6.6% on average.…”
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    Online Artículo Texto
    Environment-Adaptive Object Detection Framework for Autonomous Mobile Robots
  6. 1526
    “…This study had two main thematic aims: first, to determine the factors that influenced the choice of international students at China Pharmaceutical University (CPU) to consider China as a study destination; second, to determine the career preferences of international students upon completion of their various programs of study. …”
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    Online Artículo Texto
    Study Destination Choice and Career Preferences of International Students at China Pharmaceutical University
  7. 1527
    “…Simulation experiments on two standard datasets for classification show that the convergence speed and accuracy of the proposed algorithm are higher than those of the six gradient descent methods, and the CPU and memory utilization are significantly reduced. …”
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    Online Artículo Texto
    An Improved Adam Optimization Algorithm Combining Adaptive Coefficients and Composite Gradients Based on Randomized Block Coordinate Descent
  8. 1528
    “…In this work, a corporate networking scenario using PVLANs is emulated in order to carry out a comparative performance analysis on defensive strategies regarding CPU and memory usage, communications delay, packet loss, and power consumption. …”
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    Online Artículo Texto
    Performance Analysis of Software-Defined Networks to Mitigate Private VLAN Attacks
  9. 1529
    “…Applying this methodology as a filter for PubChem 3-D neighboring computation, an improvement of 31% was realized, increasing the average conformer pair throughput from 154,000 to 202,000 per second per CPU core.…”
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    Online Artículo Texto
    PubChem3D: Shape compatibility filtering using molecular shape quadrupoles
  10. 1530
    “…The main novelties in comparison to original work on the subject are the use of higher-order interpolation, which substantially improves the trade-off between accuracy and memory use, and a CPU and computer memory optimised way to construct and store the look-up table using modern software tools. …”
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    A posteriori inclusion of parton density functions in NLO QCD final-state calculations at hadron colliders: The APPLGRID Project
  11. 1531
    por Penning, B
    Publicado 2012
    “…In the current design, track reconstruction can be performed only in limited regions of interest at L2 and the CPU requirements may limit this even further at the highest instantaneous luminosities. …”
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    FTK
  12. 1532
    “…A specially designed algorithm, which uses tracks registered in the silicon detectors to reconstruct event vertices, is executed on the HLT processor farm of several thousand CPU cores. Monitoring histograms from all the cores are sampled and aggregated across the farm every 60 seconds. …”
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    A System for Monitoring and Tracking the LHC Beam Spot within the ATLAS High Level Trigger
  13. 1533
    “…A specially designed algorithm, which uses tracks registered in the silicon detectors to reconstruct event vertices, is executed on the HLT processor farm of several thousand CPU cores. Monitoring histograms from all the cores are sampled and aggregated across the farm every 60 seconds. …”
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    A System for Monitoring and Tracking the LHC Beam Spot within the ATLAS High Level Trigger
  14. 1534
    por Winklmeier, F
    Publicado 2012
    “…A specially designed algorithm, which uses tracks registered in the silicon detectors to reconstruct event vertices, is executed on the HLT processor farm of several thousand CPU cores. Monitoring histograms from all the cores are sampled and aggregated across the farm every 60 seconds. …”
    Enlace del recurso
    Monitoring and Tracking the LHC Beam Spot within the ATLAS High Level Trigger
  15. 1535
    por Jones, Christopher
    Publicado 2012
    “…Traditionally, HEP experiments exploit the multiple cores in a CPU by having each core process one event. However, future PC designs are expected to use CPUs which double the number of processing cores at the same rate as the cost of memory falls by a factor of two. …”
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    Study of a Fine Grained Threaded Framework Design
  16. 1536
    “…The HLT algorithms consist of sequences of offline-style reconstruction and filtering modules, executed on a farm of 0(10000) CPU cores built from commodity hardware. Experience from the 2010-2011 collider run is detailed, as well as the current architecture of the CMS HLT, and its integration with the CMS reconstruction framework and CMS DAQ. …”
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    Recent experience and future evolution of the CMS High Level Trigger System
  17. 1537
    por Kimura, N
    Publicado 2012
    “…In the current design track reconstruction can be performed only in limited regions of interest at L2 and the CPU requirements may limit this even further at the highest instantaneous luminosities. …”
    Enlace del recurso
    A Fast Hardware Tracker for the ATLAS Trigger System
  18. 1538
    por Bold, T, Ospanov, R, Kama, S, Emeliyanov, D
    Publicado 2013
    “…In preparation for future LHC running conditions, a new software interface has been developed to maximize benefit from new commodity computing hardware for CPU intensive parts of the HLT. The interface contains a software layer which provides hardware abstraction and handles the data communication between the existing software components and the optimized algorithms that are executed on the dedicated computing resource. …”
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    The core trigger software framework of the ATLAS experiment
  19. 1539
    “…In the case of ATLAS experiment the TDAQ farm, consisting of more than 1500 compute nodes, is particularly suitable for running Monte Carlo production jobs that are mostly CPU and not I/O bound. This contribution gives a thorough review of all the stages of Sim@P1 project dedicated to the design and deployment of a virtualized platform running on the ATLAS TDAQ computing resources and using it to run the large groups of CernVM based virtual machines operating as a single CERN-P1 WLCG site. …”
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    Design and Performance of the Virtualization Platform for Offline computing on the ATLAS TDAQ Farm
  20. 1540
    “…During the first proof of concept, this project contributed over 40.000 CPU-days of Monte Carlo production throughput to the ATLAS experiment with marginal manpower required. …”
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    Helix Nebula and CERN: A Symbiotic approach to exploiting commercial clouds
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