Search Results - gpu parallel processing

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  1. 1

    Divide et impera: Acceleration of DTI tractography using multi-GPU parallel processing by Lee, Jungsoo, Kim, Dae-Shik

    ISSN: 0899-9457, 1098-1098
    Published: Hoboken, NJ Blackwell Publishing Ltd 01.09.2013
    “… To shorten the computation time, we developed multi‐GPU (graphics processing unit)‐based parallelized versions of deterministic and probabilistic tractography algorithms to investigate their utility for near…”
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    Journal Article
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    GPU parallel processing to enable extensive criticality analysis in state estimation by Nishio, Ayres, Do Coutto Filho, Milton B., Stachinni de Souza, Julio C., Clua, Esteban W. G.

    ISSN: 1532-0626, 1532-0634
    Published: Hoboken, USA John Wiley & Sons, Inc 10.09.2024
    Published in Concurrency and computation (10.09.2024)
    “…Summary Power system monitoring relies on the reliability of state estimation (SE) results. SE plays a dominant role in data debugging if sufficient data is…”
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    Journal Article
  3. 3

    Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks by Naveros, Francisco, Garrido, Jesus A., Carrillo, Richard R., Ros, Eduardo, Luque, Niceto R.

    ISSN: 1662-5196, 1662-5196
    Published: Switzerland Frontiers Research Foundation 07.02.2017
    Published in Frontiers in neuroinformatics (07.02.2017)
    “…Modeling and simulating the neural structures which make up our central neural system is instrumental for deciphering the computational neural cues beneath…”
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    GPU-Based Parallel Processing Techniques for Enhanced Brain Magnetic Resonance Imaging Analysis: A Review of Recent Advances by Kirimtat, Ayca, Krejcar, Ondrej

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 29.02.2024
    Published in Sensors (Basel, Switzerland) (29.02.2024)
    “…, image segmentation, registration, and content-based image retrieval, since the GPU-based parallel processing approach allows for time-efficient computation by a software, allowing multiple computations to be completed at once…”
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    Journal Article
  6. 6

    A Simple and Parallel Algorithm for Real-Time Robot Localization by Fusing Monocular Vision and Odometry/AHRS Sensors by Wang, Kai, Liu, Yun-Hui, Li, Luyang

    ISSN: 1083-4435, 1941-014X
    Published: New York IEEE 01.08.2014
    Published in IEEE/ASME transactions on mechatronics (01.08.2014)
    “…Vision and odometry/attitude and heading reference system (AHRS, three-axial gyroscopes, accelerometers, and magnetometers) sensors fusion strategy is…”
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  7. 7

    A performance, power, and energy analysis of ultrasound B‐mode imaging on a GPU with VFS by Phuong, Thi Yen, Lee, Deok‐Young, Lee, Jeong‐Gun

    ISSN: 1532-0626, 1532-0634
    Published: Hoboken Wiley Subscription Services, Inc 10.03.2017
    Published in Concurrency and computation (10.03.2017)
    “…‐known medical application, “ultrasound B‐mode imaging,” which is implemented on modern commercial graphics processing units (GPUs…”
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    Journal Article
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    RETRACTED ARTICLE: Research on fine grained software radio communication algorithm based on GPU parallel processing technology by Ji, Yancheng, Zhang, Xiao, Zhang, Guoan, Hu, Jingjing

    ISSN: 1386-7857, 1573-7543
    Published: New York Springer US 01.03.2019
    Published in Cluster computing (01.03.2019)
    “… Traditional software radio communication algorithms can’t meet high speed and efficient data processing requirements, and GPU parallel processing technology arises at the historic moment…”
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    Journal Article
  10. 10

    Lightweight GPU-Accelerated Parallel Processing of the SCHISM Model Using CUDA Fortran by Zhang, Hongchun, Cao, Qian, Wu, Changmao, Xu, Guangjun, Liu, Yuli, Feng, Xingru, Jin, Meibing, Dong, Changming

    ISSN: 2077-1312, 2077-1312
    Published: Basel MDPI AG 01.04.2025
    Published in Journal of marine science and engineering (01.04.2025)
    “… To enhance its performance, this study develops GPU–SCHISM, a GPU-accelerated parallel version of SCHISM using the CUDA Fortran framework, and this study evaluates its acceleration performance on a single GPU-enabled node…”
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    Journal Article
  11. 11

    IMPLEMENTATION OF FDTD-COMPATIBLE GREEN'S FUNCTION ON HETEROGENEOUS CPU-GPU PARALLEL PROCESSING SYSTEM by Stefanski, Tomasz P.

    ISSN: 1559-8985, 1070-4698, 1559-8985
    Published: Electromagnetics Academy 01.03.2013
    Published in Electromagnetic waves (Cambridge, Mass.) (01.03.2013)
    “… Therefore, an acceleration of the DGF computations on a CPU-GPU heterogeneous parallel processing system was developed using the multiple…”
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    Journal Article
  12. 12

    Enhancing database performance through SQL optimization, parallel processing and GPU integration by Nuriev, Marat, Zaripova, Rimma, Sinicin, Alexey, Chupaev, Andrey, Shkinderov, Maksim

    ISSN: 2117-4458, 2273-1709, 2117-4458
    Published: Les Ulis EDP Sciences 01.01.2024
    Published in BIO web of conferences (01.01.2024)
    “…) through the lens of SQL query optimization, parallel processing, and the integration of graphics processing units (GPUs…”
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    Journal Article Conference Proceeding
  13. 13

    Processing of fused optical satellite images through parallel processing techniques in multi GPU by Auccahuasi, Wilver, Castro, Percy, Flores, Edward, Sernaque, Fernando, Garzon, Alcides, Oré, Elizabeth

    ISSN: 1877-0509, 1877-0509
    Published: Elsevier B.V 2020
    Published in Procedia computer science (2020)
    “…Technology makes many of the tasks that were previously difficult to perform, nowadays can be solved, one of them is to be able to carry out studies on large…”
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  14. 14

    Analysis of differential distribution of lightweight block cipher based on parallel processing on GPU by Chen, Zhanwen, Chen, Jiageng, Meng, Weizhi, Teh, Je Sen, Li, Pei, Ren, Bingqing

    ISSN: 2214-2126
    Published: Elsevier Ltd 01.12.2020
    “…As the fast development of IoT technology, various security solutions have to be considered when the corresponding solutions are being deployed. Due to the…”
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  15. 15

    GPU-Based Simulation of Evolutionary Spatial Cyclic Games: A Comparative Evaluation of Apple Silicon vs Nvidia by Sinadjan, Louie, Cliff, Dave

    ISSN: 1877-0509, 1877-0509
    Published: Elsevier B.V 2025
    Published in Procedia computer science (2025)
    “…We present the design, implementation and evaluation of GPU-accelerated simulators for Evolutionary Spatial Cyclic Games (ESCGs…”
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  16. 16

    Fast Collision Detection Method with Octree-Based Parallel Processing in Unity3D by Kunthroza Hor, Taeheon Kim, Min Hong

    ISSN: 2673-4591
    Published: MDPI AG 01.03.2025
    Published in Engineering proceedings (01.03.2025)
    “… Although the performance of the central processing unit (CPU) has significantly improved in recent years, it is still insufficient for many applications…”
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    Journal Article
  17. 17

    GPU Accelerated Parallel Processing for Large-Scale Monte Carlo Analysis: COVID-19 Parameter Estimation and New Case Forecasting by Suchoski, Brad, Stage, Steve, Gurung, Heidi, Baccam, Prasith

    ISSN: 2297-4687, 2297-4687
    Published: Frontiers Media S.A 03.03.2022
    “… We used the Multiple-Try Metropolis variant of the basic Metropolis Hastings algorithm, which trades off running more parallel likelihood calculations in favor of a higher acceptance rate and faster…”
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    Phase-sensitive optical time domain reflectometer with ultrafast data processing based on GPU parallel computation by Sha, Zhou, Feng, Hao, Shi, Yi, Zeng, Zhoumo

    ISSN: 2155-3165
    Published: United States 01.04.2018
    “… undisputed. This paper, for the first time to the best of our knowledge, analyzed the intrinsic superiority of employing GPU parallel computation in ϕ…”
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  19. 19

    A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study by Naveros, Francisco, Luque, Niceto R., Garrido, Jesus A., Carrillo, Richard R., Anguita, Mancia, Ros, Eduardo

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Published: United States IEEE 01.07.2015
    “… Nevertheless, they still have drawbacks when simulating large-scale systems. Conversely, event-driven simulation methods in CPUs and time-driven simulation methods in graphic processing units (GPUs…”
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    Journal Article
  20. 20

    GPU-based lightweight parallel processing toolset for LiDAR data for terrain analysis by Li, Jing, Xu, You, Macrander, Hailey, Atkinson, Laura, Thomas, Tabris, Lopez, Mario A.

    ISSN: 1364-8152, 1873-6726
    Published: Oxford Elsevier Ltd 01.07.2019
    “… Therefore, we have developed a parallel computing toolset that is built on Graphics Processing Units (GPUs…”
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