Materias dentro de su búsqueda.
Mostrando 561 - 580 Resultados de 2,741 Para Buscar '"CPU"', tiempo de consulta: 0.33s Limitar resultados
  1. 561
    Publicado 2020
    “…Results: Implemented on an NVIDIA Tesla K40c GPU, the proposed approach yielded a computational acceleration improvement of over 5 times its implementation on a CPU. The proposed approach yielded an average Dice score of 0.87 evaluated over 600 images acquired from six patients. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Real-Time Lung Tumor Tracking Using a CUDA Enabled Nonrigid Registration Algorithm for MRI
  2. 562
    “…CONCLUSIONS: Business analytics allowed CPU to monitor mental healthcare outpatient activity and to adopt its business processes according to outcomes. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Monitoring Mental Healthcare Services Using Business Analytics
  3. 563
    “…Development of SIMPLE 3.0 has been focused on real-time data processing using minimal CPU computing resources to allow easy and cost-efficient scaling of processing as data rates escalate. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    SIMPLE 3.0. Stream single-particle cryo-EM analysis in real time
  4. 564
    “…The diagnostic accuracy of our algorithm produced a challenge validation score of 0.325 (CPU time = 35 min) for the rule-based method, and a 0.426 (CPU time = 1664 min) for the deep learning method, which resulted in our team attaining 12th place in the competition.…”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Potential of Rule-Based Methods and Deep Learning Architectures for ECG Diagnostics
  5. 565
    “…Moreover, quickLD achieves up to 95% and 97% of the theoretical peak performance of a CPU and a GPU, respectively, enabling 21.5× faster processing than current state‐of‐the‐art software on a multicore processor and 49.5× faster processing when the aggregate processing power of a multicore CPU and a GPU is harnessed. quickLD can also be used in studies of selection, recombination, genetic drift, inbreeding and gene flow. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    quickLD: An efficient software for linkage disequilibrium analyses
  6. 566
    “…Furthermore, SpecHap successfully phased an individual Ambystoma mexicanum, a species with gigantic diploid genomes, within 6 CPU hours and 945MB peak memory usage, while other tools failed to yield results either due to memory overflow (40GB) or time limit exceeded (5 days). …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    SpecHap: a diploid phasing algorithm based on spectral graph theory
  7. 567
    “…When the information of 100 employees in the system was queried concurrently, the average CPU utilization of the database server exceeded 90%. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Construction of Hospital Human Resource Information Management System under the Background of Artificial Intelligence
  8. 568
    “…The proposed models offer a lightweight, efficient, and computationally cheaper CPU-based solution for the real-time fault-level categorization of PV cells.…”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Fault-Level Grading of Photovoltaic Cells Employing Lightweight Deep Learning Models
  9. 569
    “…On cloud platforms, GPU-accelerated germline callers resulted in cost savings compared with CPU runs, whereas some somatic callers were more expensive than CPU runs because their GPU acceleration was not sufficient to overcome the increased GPU cost. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Accelerating genomic workflows using NVIDIA Parabricks
  10. 570
    “…This report compares the computational performance (CPU utilization and RAM usage) of three event-level splicing tools; rMATS, MISO, and SUPPA2. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Computational comparison of common event-based differential splicing tools: practical considerations for laboratory researchers
  11. 571
    “…The analysis used seven association mapping models (GLM, MLM, MLMM, CMLM, EMLM, FarmCPU and SUPER) and further comparison revealed that FarmCPU is more robust in controlling both false positives and negatives as it incorporates multiple markers as covariates to eliminate confounding between testing marker and kinship. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Single trait versus principal component based association analysis for flowering related traits in pigeonpea
  12. 572
    Publicado 2012
    Electrónico Software eBook
    Animaciones digitales : línea respiratoria.
  13. 573
    por Marshall, Z
    Publicado 2009
    “…Computing validation, including CPU time, memory, and disk space required per event, is benchmarked for all software releases. …”
    Enlace del recurso
    Validation and computing and performance studies for the ATLAS simulation
  14. 574
    “…One of the significant trends of recent years has been the move towards multicore CPU's with ever increasing numbers of cores. CMS has been preparing multicore aware applications that rely on "multi-processing", namely the sharing of memory between processes forked from a single parent process. …”
    Enlace del recurso
    Multicore-aware applications in CMS
  15. 575
    por Emeliyanov, D, Howard, J
    Publicado 2012
    “…This poster presents data preparation and track finding algorithms specifically designed to run on a GPU using a “client-server” solution for hybrid CPU/GPU event processing and integration of the GPU algorithms into existing ATLAS HLT software. …”
    Enlace del recurso
    GPU-Based Tracking Algorithms for the ATLAS High-Level Trigger
  16. 576
    “…Our tracking algorithm implementation was designed with parallelism in mind for an easy adoption in many-core architectures, like GPGPUs. First, CPU vectorization units are explored as an attempts to speedup a critical section of the current implementation. …”
    Enlace del recurso
    An SIMD parallel version of the VELO Pixel track reconstruction for the LHCb upgrade
  17. 577
    por Heinrich, Lukas
    Publicado 2016
    “…Such scans require a well defined approach in generating signal events and deciding which ones should be passed through the CPU-intensive detector simulation and for which ones the sensitivity can be instead parametrised. …”
    Enlace del recurso
    pMSSM scans in ATLAS
  18. 578
    por CMS Collaboration
    Publicado 2018
    “…We will also show a performance comparison, based on events processed per second, between the CPU workflow and the equivalent GPU one.…”
    Enlace del recurso
    Patatrack Heterogeneous Computing 2018 Demonstrator: Pixel Tracks
  19. 579
    por Panagou, Ioanna Maria
    Publicado 2023
    “…--HTML-->TMVA provides a fast interference system that takes an ONNX model as input and produces compilation-ready standalone C++ scripts as output which can be compiled and executed on CPU architectures. The idea of this project is to extend this capability to generate from the TMVA SOFIE model representation code that can be run also on Intel GPU using both SYCL and Intel OneAPI libraries. …”
    Enlace del recurso
    Inference of ML models on Intel GPU with SYCL and Intel OneAPI using SOFIE
  20. 580
    por Botterill, David R, Edwards, A W
    Publicado 1981
    “…This program is large, about 700K decimal bytes and needs on average 350 milliseconds/event of CPU time on an IBM 370/168. This program has recently been installed on a 168/E microprocessor at CERN. …”
    Enlace del recurso
    Enlace del recurso
    Experiences using the 168/E microprocessor within the European Muon Collaboration (EMC)
Herramientas de búsqueda: RSS