Showing 281 - 300 results of 357 for search '"Parallel Computing"', query time: 0.10s Refine Results
  1. 281

    Development and investigation of parallel model of bee colony algorithms for cryptanalysis problem solving by Yury O Chernyshev, Alexander S Sergeev, Alexander N Ryazanov, Evgeny O. Dubrov

    Published 2017-03-01
    “…Besides, the problem solution is provided: to find the required smallest number of processors of the homogeneous parallel computing systems with distributed memory, and a uniform plan for the implementation of operators for them, for the cryptanalysis algorithm based on the constructed information-logical graph data-logical graph, and for the preset time. …”
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  2. 282

    The Hemodynamic Effect of Enhanced External Counterpulsation Treatment on Atherosclerotic Plaque in the Carotid Artery: A Framework of Patient-Specific Computational Fluid Dynamics... by Jianhang Du, Guangyao Wu, Bokai Wu, Chang Liu, Zhouming Mai, Yumeng Liu, Yawei Wang, Pandeng Zhang, Guifu Wu, Jia Liu

    Published 2020-01-01
    “…To quantify the effect of EECP intervention on arterial hemodynamic environment, a framework of numerical assessment was introduced using a parallel computing algorithm. A 3D endothelial surface of the carotid artery with mild atherosclerotic plaque was constructed from images of magnetic resonance angiography (MRA). …”
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  3. 283

    Server consolidation: A technique to enhance cloud data center power efficiency and overall cost of ownership by Mueen Uddin, Mohammed Hamdi, Abdullah Alghamdi, Mesfer Alrizq, Mohammad Sulleman Memon, Maha Abdelhaq, Raed Alsaqour

    Published 2021-03-01
    “…The cloud computing paradigm is instigated from grid and parallel computing models as it uses virtualization, server consolidation, utility computing, and other computing technologies and models for providing better information technology solutions for large-scale computational data centers. …”
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  4. 284

    Analog parallel processor for broadband multifunctional integrated system based on silicon photonic platform by Na Qian, Defu Zhou, Haowen Shu, Ming Zhang, Xingjun Wang, Daoxin Dai, Xiao Deng, Weiwen Zou

    Published 2025-02-01
    “…Via photonic analog parallelism, data rate and data volume in each sequence are simultaneously compressed, which mitigates the requirement on each parallel computing core. Moreover, the fusion of the outputs from each computing core is equivalent to directly processing broadband signals. …”
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  5. 285

    Elucidating thermal phenomena of non-Newtonian experimental data based copper-alumina-ethylene glycol hybrid nanofluid in a cubic enclosure with central heated plate by machine lea... by Md. Mamun Molla, Md Farhad Hasan, Md. Mahadul Islam

    Published 2025-03-01
    “…The simulation was conducted through parallel computing techniques based on the Compute Unified Device Architecture (CUDA) C++ programming facilitated by NVIDIA GPU. …”
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  6. 286

    Simulating fluid within elastic pipe(弹性管道约束下的流体仿真) by 杨少娟(YANG Shaojuan), 马龙(MA Long), 杨润泽(YANG Runze), 陈实(CHEN Shi), 周元峰(ZHOU Yuanfeng)

    Published 2025-01-01
    “…Additionally, elastic constraints are introduced to endow the pipe with specific elastic properties, and GPU parallel computing is utilized to accelerate the simulation. …”
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  7. 287

    Development of neutron diffusion and transport algorithms based on finite volume method by LI Wei, LIU Xiaojing, CHAI Xiang, ZHAO Pengcheng

    Published 2025-01-01
    “…BackgroundWith the development of nuclear-thermal coupling technology, it is essential to consider the strong coupling effects between multiple physics fields and achieve high precision and large-scale parallel computing. Simultaneous solutions to the conservation equations of multiple physics fields need to be pursued, providing a unified approach to modeling, discretization, and iterative computation processes.PurposeThis study aims to achieve discrete and iterative solutions for multigroup neutron diffusion equations and neutron transport equations, considering the strong coupling between neutronics and thermal-hydraulics.MethodsFirstly, based on the open-source computational fluid dynamics (CFD) platform OpenFOAM, the finite volume method (FVM) was employed to discretize the control equations for neutron diffusion and neutron transport using the Gauss theorem. …”
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  8. 288
  9. 289

    Entity-level cross-modal fusion for multimodal chinese agricultural diseases and pests named entity recognition by Jingzhong Huang, Xia Hao, Yu Wang, Ruizhi Song, Zenan Mu, Wen Chu, Georgios Papadakis, Sijie Niu, Xuchao Guo

    Published 2025-12-01
    “…The text stream employs a Boundary-Middle (B-M) classification strategy to achieve fine-grained semantic unit segmentation, effectively addressing long-entity boundary ambiguity and parallel computing challenges. The visual stream focuses on interesting region detection to enhance multi-scale visual entity feature extraction capabilities. …”
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  10. 290

    A Three-dimensional Model Establishment of Multiple Connecting Leaders Initiated from Tall Structures by Yu Junhao, Tan Yongbo, Zheng Tianxue, Wang Yiru, Shi Zheng

    Published 2020-11-01
    “…A new model for simulating multiple upward leaders initiated from tall structures in cloud-to-ground (CG) lightning flash is established, in which the initiation and development module of are implanted in the existing 3D stochastic parameterization of leader attachment process, using electric field parallel computing technology to improve the simulation efficiency. …”
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  11. 291

    Advanced climate model evaluation with ESMValTool v2.11.0 using parallel, out-of-core, and distributed computing by M. Schlund, B. Andela, J. Benke, R. Comer, B. Hassler, E. Hogan, P. Kalverla, A. Lauer, B. Little, S. Loosveldt Tomas, F. Nattino, P. Peglar, V. Predoi, S. Smeets, S. Worsley, M. Yeo, K. Zimmermann

    Published 2025-07-01
    “…These optimizations include parallel computing (execute multiple computation tasks simultaneously), out-of-core computing (process data larger than available memory), and distributed computing (spread computation tasks across multiple interconnected nodes or machines). …”
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  12. 292

    SnowQM 1.0: a fast R package for bias-correcting spatial fields of snow water equivalent using quantile mapping by A. Michel, A. Michel, J. Aschauer, T. Jonas, S. Gubler, S. Kotlarski, C. Marty

    Published 2024-12-01
    “…The main functions of the package are written in C<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>+</mo><mo>+</mo></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="18pt" height="8pt" class="svg-formula" dspmath="mathimg" md5hash="5f7d879eb49960750426ea9038761ecb"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="gmd-17-8969-2024-ie00001.svg" width="18pt" height="8pt" src="gmd-17-8969-2024-ie00001.png"/></svg:svg></span></span> to achieve high performance. Parallel computing is implemented in the C<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>+</mo><mo>+</mo></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="18pt" height="8pt" class="svg-formula" dspmath="mathimg" md5hash="43e79436560eaf5cf0911b4f8898556a"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="gmd-17-8969-2024-ie00002.svg" width="18pt" height="8pt" src="gmd-17-8969-2024-ie00002.png"/></svg:svg></span></span> part of the code. …”
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  13. 293

    A China dataset of soil properties for land surface modelling (version 2, CSDLv2) by G. Shi, W. Sun, W. Shangguan, Z. Wei, H. Yuan, L. Li, X. Sun, Y. Zhang, H. Liang, D. Li, F. Huang, Q. Li, Q. Li, Y. Dai

    Published 2025-02-01
    “…Using advanced ensemble machine learning and a high-performance parallel-computing strategy, we developed comprehensive maps of 23 soil physical and chemical properties at six standard depth layers from 0 to 2 m in China at a 90 m spatial resolution (China dataset of soil properties for land surface modelling version 2, CSDLv2). …”
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  14. 294

    A parallel algorithm of LU factorization by Raimondas Čiegis, Vadimas Starikovičius

    Published 1998-12-01
    “… This paper discusses issues in the design of LU factorization parallel algorithm on distributed memory parallel computers. A new cyclic distribution method is proposed for heterogeneous parallel computers, which include virtual parallel computers. …”
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  15. 295

    Аlgorithm of fast computation of local image histograms on video card1 by Ph. S. Trotski, B. A. Zalesky

    Published 2019-03-01
    “…An algorithm of parallel computation of image histograms of different types, including brightness and oriented gradient ones, on video cards of various types is presented. …”
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  16. 296

    (t,k)-diagnosability of exchanged crossed cube under the PMC model by Chen GUO, Zhifang XIAO, Ming LEMG, Shuo PENG, Bo WANG

    Published 2019-06-01
    “…Exchanged crossed cube(ECQ) is one of the latest achievements in the research of topology of novel interconnection networks.ECQ is a more optimized form of organization for multi-processor parallel computers,which retains the advantages of exchanged hypercube and crossed cube in terms of the smaller diameter,fewer links,and lower cost factor,and which indicates more balanced consideration.However,so far,ECQ hadn’t been formally introduced into multi-processor parallel computers.One of the main reasons was that its reliability research wasn’t yet systematic.Among them,the operational reliability represented by diagnosability was the most urgent.ECQ was taken as studying object,after topological analyzing,some important topological properties of ECQ were introduced,which determines the (t,k)-diagnosability of ECQ(s,t) under the PMC model by theoretical deduction and simulation experiments.Simulation results show that ECQ reliability complement and improvement,which provides strong technical support for subsequent application and popularization.…”
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  17. 297

    (t,k)-diagnosability of exchanged crossed cube under the PMC model by Chen GUO, Zhifang XIAO, Ming LEMG, Shuo PENG, Bo WANG

    Published 2019-06-01
    “…Exchanged crossed cube(ECQ) is one of the latest achievements in the research of topology of novel interconnection networks.ECQ is a more optimized form of organization for multi-processor parallel computers,which retains the advantages of exchanged hypercube and crossed cube in terms of the smaller diameter,fewer links,and lower cost factor,and which indicates more balanced consideration.However,so far,ECQ hadn’t been formally introduced into multi-processor parallel computers.One of the main reasons was that its reliability research wasn’t yet systematic.Among them,the operational reliability represented by diagnosability was the most urgent.ECQ was taken as studying object,after topological analyzing,some important topological properties of ECQ were introduced,which determines the (t,k)-diagnosability of ECQ(s,t) under the PMC model by theoretical deduction and simulation experiments.Simulation results show that ECQ reliability complement and improvement,which provides strong technical support for subsequent application and popularization.…”
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    Article
  18. 298

    Parallel Implicit Runge-Kutta Methods for Stiff ODEs by Bashir Khalaf, Abdulhabib Murshid

    Published 2004-12-01
    “…The main objective of this paper is to develop and construct numerical algorithms for solving stiff system of ordinary differential equations (ODEs) which are suitable for running on parallel computers (MIMD computers).Semi-parallel implicit Runge-Kutta methods have been derived and parallel predictor - corrector methods are developed.…”
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  19. 299

    Parallel Newtonian Optimization without Hessian Approximation by Khalil Abbo

    Published 2006-12-01
    “…The purpose of this paper is to introduce parallel algorithms based on the Newton method for solving non-linear unconstrained optimization problem in (MIMD) parallel computers by solving linear system in parallel using Gaussian Elimination method rather than finding inverse Hessian matrix to avoid the errors caused by evaluating the inverse matrix and also to increase computing power and reduce run time.…”
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  20. 300

    CONSTRUCTION PRINCIPLES OF COMPUTING UNITS FOR INTELLECTUAL DATA PROCESSING by M. M. Tatur

    Published 2016-09-01
    “…An approach to the development of problem-oriented parallel computers for a wide range of tasks of intelligent data processing is described. …”
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