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  1. 1
    Parallel block methods for solving higher order ordinary differential equations directly

    Parallel block methods for solving higher order ordinary differential equations directly by Omar, Zurni

    Published 1999
    “…A new parallel algorithm for solving systems of ODEs using variable step size and order is also developed. …”
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  2. 2
    Parallel R-point implicit block method for solving higher order ordinary differential equations directly

    Parallel R-point implicit block method for solving higher order ordinary differential equations directly by Omar, Zurni, Sulaiman, M.

    Published 2004
    “…In this paper, a new method called parallel R-point implicit block method for solving higher order ODEs directly using constant step size is developed. …”
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  3. 3
    Parallel Block Methods for Solving Ordinary Differential Equations

    Parallel Block Methods for Solving Ordinary Differential Equations by Abdul Majid, Zanariah

    Published 2004
    “…Subsequently, a more structured and efficient algorithm comprising the block methods was constructed for solving systems of first order ODEs using variable step size and order. …”
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  4. 4
    Parallel Processing of Forward-backward Time-stepping Method for Time Domain Inverse Scattering

    Parallel Processing of Forward-backward Time-stepping Method for Time Domain Inverse Scattering by Kismet, Hong Ping, Moriyama, Toshifumi, Yamaguchi, Yuji, Tanaka, Toshiyuki, Takenaka, Takashi

    Published 2008
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  5. 5
    Direct Block Methods for Solving Special Second Order Ordinary Differential Equations and Their Parallel Implementations

    Direct Block Methods for Solving Special Second Order Ordinary Differential Equations and Their Parallel Implementations by Yap, Lee Ken

    Published 2008
    “…The performances of the r-point block methods using sequential and parallel codes are compared in terms of the total steps, execution time, speedup and efficiency. …”
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  6. 6
    Parallel batch self-organizing map on graphics processing unit using CUDA

    Parallel batch self-organizing map on graphics processing unit using CUDA by Daneshpajouh, H., Delisle, P., Boisson, J.-C., Krajecki, M., Zakaria, N.

    Published 2018
    “…Although the structure of its training algorithm has a high potential for parallelization, focus of the previous efforts has been on the original Step-wise SOM. …”
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  7. 7
    Parallel batch self-organizing map on graphics processing unit using CUDA

    Parallel batch self-organizing map on graphics processing unit using CUDA by Daneshpajouh, H., Delisle, P., Boisson, J.-C., Krajecki, M., Zakaria, N.

    Published 2018
    “…Although the structure of its training algorithm has a high potential for parallelization, focus of the previous efforts has been on the original Step-wise SOM. …”
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  8. 8
    Paralell R-point implicit block method for solving higher order ordinary differential equations directly

    Paralell R-point implicit block method for solving higher order ordinary differential equations directly by Omar, Zurni, Sulaiman, M.

    Published 2004
    “…In this paper, a new method called parallel R-point implicit block method for solving higher order ODEs directly using constant step size is developed. …”
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  9. 9
    Solving ordinary differential equations using block multistep method

    Solving ordinary differential equations using block multistep method by Mehrkanoon, Siamak

    Published 2011
    “…Subsequently, a variable block method is proposed to solve first and higher order IVPs of ODEs using variable step size and order strategy. In previous researches, in order to increase the order of the method, it supposed to use the information of more back points. …”
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  10. 10
    Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures

    Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures by Koohi, Sina Zangbari

    Published 2020
    “…The first step lies at the modelling of parallel applications running on heterogeneous parallel computers. …”
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  11. 11
    Block Multistep Methods for Solving Ordinary Differential Equations

    Block Multistep Methods for Solving Ordinary Differential Equations by Ibrahim, Zarina Bibi

    Published 2006
    “…Finally, this thesis deals with parallel numerical algorithms for the solution of systems of ODEs. …”
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  12. 12
    Parallel method using MPI for solving large systems of delay differential equations

    Parallel method using MPI for solving large systems of delay differential equations by Ishak, Fuziyah, Suleiman, Mohamed

    Published 2012
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  13. 13
    Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm

    Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm by Al-Jumaili A.H.A., Muniyandi R.C., Hasan M.K., Singh M.J., Paw J.K.S., Al-Jumaily A.

    Published 2025
    “…The results showed that using canopy as a preprocessing step cut the time it proceeds to deal with the significant number of power load abnormalities found in parallel using a fast density peak dataset and the time it proceeds for the k-means algorithm to run. …”
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  14. 14
    Parallel Execution of Runge-Kutta Methods for Solving Ordinary Differential Equations

    Parallel Execution of Runge-Kutta Methods for Solving Ordinary Differential Equations by Siri, Zailan

    Published 2004
    “…As we know Runge-Kutta method is a one step method hence it is quite limited in terms of implementation in parallel, here we going to exploit and extend the favourable characteristic of Runge-Kutta method so that they can be implemented in parallel. …”
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  15. 15
    Parallelization Of CCSDS Hyperspectral Image Compression Using C++

    Parallelization Of CCSDS Hyperspectral Image Compression Using C++ by Tan, Lit Chez

    Published 2018
    “…Next, the parallelizable section of the algorithm is identified and coded using OpenMP. The algorithm has been parallelized by dividing the bands of the hyperspectral image into several continuous chunks and running them concurrently. …”
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  16. 16
    Parallel genetic algorithms for shortest path routing in high- performance computing / Mohd Erman Safawie Che Ibrahim

    Parallel genetic algorithms for shortest path routing in high- performance computing / Mohd Erman Safawie Che Ibrahim by Che Ibrahim, Mohd Erman Safawie

    Published 2012
    “…This project focuses on step-up cluster computing and a parallel Genetic Algorithm. …”
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  17. 17
    Tile-Level Parallelism For H.264/Avc Codec Using Parallel Domain Decomposition Algorithm On Shared Memory Architecture

    Tile-Level Parallelism For H.264/Avc Codec Using Parallel Domain Decomposition Algorithm On Shared Memory Architecture by Eessa, Mohammed F.

    Published 2015
    “…As a further step, the proposed tile-level parallel H.264/AVC is compared with the slice-level and the macroblock-level parallel approaches.…”
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  18. 18
    Investigation on the dynamic of computation of semi autonomous evolutionary computation for syntactic optimization of a set of programming codes

    Investigation on the dynamic of computation of semi autonomous evolutionary computation for syntactic optimization of a set of programming codes by Mohammad Sigit Arifianto, Tze, Kenneth Kin Teo, Liau, Chung Fan, Liawas Barukang, Zaturrawiah Ali Omar

    Published 2007
    “…Secondly, the number of processors in use at each step of the parallel code (degree of parallelism) has an effect on the computation time and the communication time as well. …”
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  19. 19
    Partitioning techniques and their parallelization for stiff system of ordinary differential equations

    Partitioning techniques and their parallelization for stiff system of ordinary differential equations by Othman, Khairil Iskandar

    Published 2007
    “…Parallelizing the right algorithm in the partitioning code will give a better perfonnance with shorter execution times. …”
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  20. 20
    Enhancement of parallel thinning algorithm for handwritten characters using neural network

    Enhancement of parallel thinning algorithm for handwritten characters using neural network by Engkamat, Adeline

    Published 2005
    “…Thus, this project presents a framework for the implementation of a multilayer perceptron neural network with backpropagation algorithm, in the Parker thinning algorithm in order to produce a fast fully parallel thinning algorithm. …”
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