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Journal articles on the topic 'Accelerating methods'

Author: Grafiati

Published: 3 June 2023

Last updated: 14 September 2024

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1

Papadrakakis, M. "Accelerating Vector Iteration Methods." Journal of Applied Mechanics 53, no. 2 (June 1, 1986): 291–97. http://dx.doi.org/10.1115/1.3171754.

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This paper describes a technique for accelerating the convergence properties of iterative methods for the solution of large sparse symmetric linear systems that arise from the application of finite element method. The technique is called partial preconditioning process (PPR) and can be combined with pure vector iteration methods, such as the conjugate gradient, the dynamic relaxation, and the Chebyshev semi-iterative methods. The proposed triangular splitting preconditioner combines Evans’ SSOR preconditioner with a drop-off tolerance criterion. The (PPR) is attractive in a FE framework because it is simple and can be implemented at the element level as opposed to incomplete Cholesky preconditioners, which require a sparse assembly. The method, despite its simplicity, is shown to be more efficient on a set of test problems for certain values of the drop-off tolerance parameter than the partial elimination method.

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2

Zhou, Yu-Long, Fan Xia, Ai-Jun Xie, Hao-Ping Peng, Jian-Hua Wang, and Zhi-Wei Li. "A Review—Effect of Accelerating Methods on Gas Nitriding: Accelerating Mechanism, Nitriding Behavior, and Techno-Economic Analysis." Coatings 13, no. 11 (October 27, 2023): 1846. http://dx.doi.org/10.3390/coatings13111846.

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Gas nitriding, as a surface modification technology to improve the wear resistance of workpiece surfaces, is widely used in wind turbine gears, pressure vessel gears, high-precision die casting abrasives, and other areas. However, the gas nitriding time is too long, reaching 40–60 h, which reduces the efficiency of nitriding and hinders the development of gas nitriding. Therefore, various accelerating methods are born accordingly. This review first introduces the basic principle, microstructure, and process parameters of conventional gas nitriding. Then, five common accelerating methods are summarized: process parameter optimization, surface mechanical nano-crystallization, surface-active catalysis, surface pre-oxidation, and surface laser treatment. Then, the effect of acceleration methods on gas nitriding is analyzed for the acceleration mechanism, nitriding behavior, and nitriding efficiency. Finally, the technical economy of the acceleration methods is compared for three aspects: energy consumption, carbon dioxide emission, and cost. And, the technical maturity of the acceleration methods is compared according to technology readiness level (TRL) technology. Based on the above content, the advantages and disadvantages of the five accelerating methods are reviewed, and the concept of a multi-technology collaborative processing acceleration method is proposed.

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Galletti, Mario, Maria Pia Anania, Sahar Arjmand, Angelo Biagioni, Gemma Costa, Martina Del Giorno, Massimo Ferrario, et al. "Advanced Stabilization Methods of Plasma Devices for Plasma-Based Acceleration." Symmetry 14, no. 3 (February 24, 2022): 450. http://dx.doi.org/10.3390/sym14030450.

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Towards the next generation of compact plasma-based accelerators, useful in several fields, such as basic research, medicine and industrial applications, a great effort is required to control the plasma creation, the necessity of producing a time-jitter free channel, and its stability namely uniformity and reproducibility. In this Letter, we describe an experimental campaign adopting a gas-filled discharge-capillary where the plasma and its generation are stabilized by triggering its ignition with an external laser pulse or an innovative technique based on the primary dark current (DC) in the accelerating structure of a linear accelerator (LINAC). The results show an efficient stabilization of the discharge pulse and plasma density with both pre-ionizing methods turning the plasma device into a symmetrical stable accelerating environment, especially when the external voltage is lowered near the breakdown value of the gas. The development of tens of centimeter long capillaries is enabled and, in turn, longer acceleration lengths can be adopted in a wide range of plasma-based acceleration experiments.

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4

Hustoft, Hanne Kolsrud, Leon Reubsaet, Tyge Greibrokk, Elsa Lundanes, and Helle Malerod. "Critical assessment of accelerating trypsination methods." Journal of Pharmaceutical and Biomedical Analysis 56, no. 5 (December 2011): 1069–78. http://dx.doi.org/10.1016/j.jpba.2011.08.013.

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5

Minakov, Artyom Dmitrievich, and Vladimir Anatolievich Sudakov. "Methods for accelerating controlled online experiments." Keldysh Institute Preprints, no. 36 (2023): 1–16. http://dx.doi.org/10.20948/prepr-2023-36.

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The paper discusses current methods of hypothesis testing on a large set of data on user actions on a banking site. Methods have been developed and investigated using a consistent approach and Bayesian statistics, and a recommendation for use has been formed. The application of the proposed methods made it possible to reduce the time of conducting controlled online experiments by 25-34%.

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6

Patra, Tarak K. "Data-Driven Methods for Accelerating Polymer Design." ACS Polymers Au 2, no. 1 (December 28, 2021): 8–26. http://dx.doi.org/10.1021/acspolymersau.1c00035.

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7

Oh, Se-Chang, Young-Bok Joo, Oh-Young Kwon, and Kyung-Moo Huh. "GPU Accelerating Methods for Pease FFT Processing." Journal of Institute of Control, Robotics and Systems 20, no. 1 (January 1, 2014): 37–41. http://dx.doi.org/10.5302/j.icros.2014.13.1960.

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8

Ulhaq, Aman, Emma McCrory, and Eleni Besi. "Surgical Methods for Accelerating Orthodontic Tooth Movement." Orthodontic Update 13, no. 4 (October 2, 2020): 170–79. http://dx.doi.org/10.12968/ortu.2020.13.4.170.

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The ability to consistently reduce orthodontic treatment time without adverse outcomes would be an attractive prospect. Several surgical interventions have been described aimed at accelerating orthodontic tooth movement. The aim of this review is to identify and evaluate the current evidence available for surgically-assisted orthodontic tooth movement (OTM). The current evidence suggests that surgical procedures may increase the rate of tooth movement, however, this effect is short lived. Further reporting on total treatment time, and patient centred outcomes, would be beneficial in future studies. CPD/Clinical Relevance: To explain surgical methods for accelerating orthodontic tooth movement.

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9

Li, Yu, Tao Zhang, Shuyu Sun, and Xin Gao. "Accelerating flash calculation through deep learning methods." Journal of Computational Physics 394 (October 2019): 153–65. http://dx.doi.org/10.1016/j.jcp.2019.05.028.

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10

Kornfeld, Isaac. "Nonexistence of universally accelerating linear summability methods." Journal of Computational and Applied Mathematics 53, no. 3 (August 1994): 309–21. http://dx.doi.org/10.1016/0377-0427(94)90059-0.

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11

Moreno, Yenita, Ermiyati Ermiyati, Syurya Adi Pratama, and Suprasman Suprasman. "Evaluasi Time Schedule Menggunakan Network Planning (Studi Kasus: Pada Proyek Pembangunan Gedung Rawat Inap Kelas III Tahap III Rumah Sakit Umum Daerah Bangkinang, Riau)." INCODING: Journal of Informatics and Computer Science Engineering 3, no. 1 (April 26, 2023): 21–44. http://dx.doi.org/10.34007/incoding.v3i1.331.

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Time Schedule is a detailed division of work duration on each project work. The problem in this study is the ineffectiveness of the duration of the work and the amount of work done is not in accordance with the planned duration. The purpose of the study was to evaluate the time schedule using the network planning method to determine the critical trajectory by using Microsoft Project 2016 software and to accelerate the duration of work from its original duration by using the acceleration method of adding labor, increasing working hours and accelerating the work shift method. The conclusion of time schedule evaluation using network planning is obtained as many as 50 work items which are included in the critical path. After accelerating with three acceleration methods, it was found that the results of accelerating the addition of manpower which cut the time by 3 days from the original duration, acceleration by adding 2 hours of work cut 7 working days and acceleration with the work shift method which cut the duration to 21 working days from the original duration. which is 206 working days, then of the three methods of acceleration the most effective is the shift method.

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12

Jenkins, Roger, and Erik VanNostrand. "ACCELERATING SYSTEM INTEGRATION." INCOSE International Symposium 3, no. 1 (July 1993): 193–98. http://dx.doi.org/10.1002/j.2334-5837.1993.tb01578.x.

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AbstractThis paper presents a case study on the combined contributions of system simulation, technical interchange, and innovative methods of system analysis toward the acceleration of system integration. The combination of these three efforts cut cost and increased productivity so that aggressive program schedules could be maintained. Capitalizing on unique opportunities, simulations and innovative real time methods of analysis played a key role in the timely integration of a highly advanced multiprocessor system.

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13

Jain, Divya, Rashmi Bhardwaj, and Iqbal Ahmad. "Accelerating order of convergence using secant type methods." Journal of Interdisciplinary Mathematics 20, no. 2 (February 17, 2017): 417–26. http://dx.doi.org/10.1080/09720502.2015.1033845.

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14

Miranker, Willard L., and Eric Mjolsness. "Accelerating neural net dynamics by boundary layer methods." Applied Mathematics Letters 6, no. 3 (May 1993): 85–89. http://dx.doi.org/10.1016/0893-9659(93)90041-k.

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15

Huang, Jingfang, Jun Jia, and Michael Minion. "Accelerating the convergence of spectral deferred correction methods." Journal of Computational Physics 214, no. 2 (May 2006): 633–56. http://dx.doi.org/10.1016/j.jcp.2005.10.004.

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16

Petković, Miodrag S., Jovana Džunić, and Mimica Milošević. "Traub’s accelerating generator of iterative root-finding methods." Applied Mathematics Letters 24, no. 8 (August 2011): 1443–48. http://dx.doi.org/10.1016/j.aml.2011.03.027.

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17

Lopes, R., S. A. Santos, and P. J. S. Silva. "Accelerating block coordinate descent methods with identification strategies." Computational Optimization and Applications 72, no. 3 (January 2, 2019): 609–40. http://dx.doi.org/10.1007/s10589-018-00056-8.

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18

Метелица, Елена Анатольевна. "Justification of methods for accelerating iterative loops nests." Program Systems: Theory and Applications 15, no. 1 (March 26, 2024): 63–94. http://dx.doi.org/10.25209/2079-3316-2024-15-1-63-94.

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Рассматривается ускорение итерационных алгоритмов, которые встречаются при решении задач математической физики, математического моделирования, обработки изображений и других. В программной реализации таких алгоритмов лежат гнёзда циклов (участки программы, состоящие из вложенных циклов). Такие гнёзда циклов ускоряются при помощи комбинации оптимизирующих преобразований, включающих тайлинг, метод гиперплоскостей и распараллеливание на общую память. Обосновывается эквивалентность комбинации используемых преобразований программ. Предлагается и обосновывается метод изменения порядка обхода тайла. Метод даёт ускорение за счёт увеличения количества чтений данных из регистров, вместо чтений из более медленной памяти. С учётом этого метода получена формула вычисления оптимальных размеров тайлов. Представленной в статье цепочкой преобразований достигается ускорение в 1.4 раза большее, чем в известном алгоритме оптимизации, реализованном в системе PLUTO. Приводятся численные эксперименты, которые в некоторых случаях на процессоре с 8 ядрами демонстрируют ускорение относительно исходных последовательных программ более чем на порядок. Результаты статьи могут использоваться для ручной и автоматизированной оптимизации программ.

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19

WANG, XIAOFENG, and TIE ZHANG. "SOME NEWTON-TYPE ITERATIVE METHODS WITH AND WITHOUT MEMORY FOR SOLVING NONLINEAR EQUATIONS." International Journal of Computational Methods 11, no. 05 (October 2014): 1350078. http://dx.doi.org/10.1142/s0219876213500783.

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In this paper, we present some three-point Newton-type iterative methods without memory for solving nonlinear equations by using undetermined coefficients method. The order of convergence of the new methods without memory is eight requiring the evaluations of three functions and one first-order derivative in per full iteration. Hence, the new methods are optimal according to Kung and Traubs conjecture. Based on the presented methods without memory, we present two families of Newton-type iterative methods with memory. Further accelerations of convergence speed are obtained by using a self-accelerating parameter. This self-accelerating parameter is calculated by the Hermite interpolating polynomial and is applied to improve the order of convergence of the Newton-type method. The corresponding R-order of convergence is increased from 8 to 9, [Formula: see text] and 10. The increase of convergence order is attained without any additional calculations so that the two families of the methods with memory possess a very high computational efficiency. Numerical examples are demonstrated to confirm theoretical results.

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20

Wang, Xiaofeng, and Yuxi Tao. "A New Newton Method with Memory for Solving Nonlinear Equations." Mathematics 8, no. 1 (January 10, 2020): 108. http://dx.doi.org/10.3390/math8010108.

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A new Newton method with memory is proposed by using a variable self-accelerating parameter. Firstly, a modified Newton method without memory with invariant parameter is constructed for solving nonlinear equations. Substituting the invariant parameter of Newton method without memory by a variable self-accelerating parameter, we obtain a novel Newton method with memory. The convergence order of the new Newton method with memory is 1 + 2 . The acceleration of the convergence rate is attained without any additional function evaluations. The main innovation is that the self-accelerating parameter is constructed by a simple way. Numerical experiments show the presented method has faster convergence speed than existing methods.

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21

Patel, Dr Nimesh D. "Frontier in Orthodontics – Dental Tooth Movement Acceleration." Scholars Journal of Dental Sciences 8, no. 10 (October 24, 2021): 302–6. http://dx.doi.org/10.36347/sjds.2021.v08i10.002.

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There is an increased tendency for researchers to focus on the methods accelerating tooth movement due to the high demand by adult patients for short orthodontic treatment duration. Unfortunately, longer orthodontic treatment duration poses certain risks such as increase likelihood for caries, gingival recession, and root resorption. This also leads to a higher demand to identify the methods to increase tooth movement with minimum possible side-effects. The purpose of this review is to describe the success approaches in acceleration of tooth movement and to highlight their pros and cons. Biological methods of tooth movement have shown that cytokines, RANKL show good results for accelerating tooth movement and raloxifene is best used for retention as it decreases relapse. Osteotomy and corticotomy are useful in increasing the rate of tooth movement but are invasive. Osteoperforations is less invasive and can give good results for acceleration of orthodontic tooth movement.

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22

Wang, Shikai, Haotian Zheng, Xin Wen, and Shang Fu. "DISTRIBUTED HIGH-PERFORMANCE COMPUTING METHODS FOR ACCELERATING DEEP LEARNING TRAINING." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 3, no. 3 (September 25, 2024): 108–26. http://dx.doi.org/10.60087/jklst.v3.n4.p22.

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This paper comprehensively analyzes distributed high-performance computing methods for accelerating deep learning training. We explore the evolution of distributed computing architectures, including data parallelism, model parallelism, and pipeline parallelism, and their hybrid implementations. The study delves into optimization techniques crucial for large-scale training, such as distributed optimization algorithms, gradient compression, and adaptive learning rate methods. We investigate communication-efficient algorithms, including Ring All Reduce variants and decentralized training approaches, which address the scalability challenges in distributed systems. The research examines hardware acceleration and specialized systems, focusing on GPU clusters, custom AI accelerators, high-performance interconnects, and distributed storage systems optimized for deep learning workloads. Finally, we discuss this field's challenges and future directions, including scalability-efficiency trade-offs, fault tolerance, energy efficiency in large-scale training, and emerging trends like federated learning and neuromorphic computing. Our findings highlight the synergy between advanced algorithms, specialized hardware, and optimized system designs in pushing the boundaries of large-scale deep learning, paving the way for future breakthroughs in artificial intelligence.

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23

Qiang, Xinjian. "Technical methods for accelerating digital transformation of Chinese enterprises." MATEC Web of Conferences 336 (2021): 09024. http://dx.doi.org/10.1051/matecconf/202133609024.

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Chinese enterprises are facing the opportunity of digital transformation, and all enterprises are advancing in exploration. This paper introduces the trend and challenge of digital transformation of Chinese enterprises. This paper expounds the digital transformation strategy of enterprises as the center. This paper discusses the four development processes of enterprise digital transformation, including digital empowerment, process optimization, digital transformation and digital reengineering. This paper puts forward the methods that Chinese enterprises should adopt in the process of transformation. First of all, the digital transformation of enterprises should be scientifically planned. Then select pilot projects in enterprises and try them out first. After that, the trial effect was evaluated. After summarizing and improving, copy and enlarge the scope. Finally, optimize the operation of the enterprise, and constantly adjust.

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24

Karami, Mohammad Azim, and Nasser Masoumi. "Novel methods for accelerating substrate coupling modeling and analysis." IEICE Electronics Express 3, no. 22 (2006): 480–86. http://dx.doi.org/10.1587/elex.3.480.

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25

Yokota, Rio. "4. Accelerating Hierarchical Low-Rank Approximation Methods Using GPUs." Journal of The Institute of Image Information and Television Engineers 73, no. 1 (2019): 58–61. http://dx.doi.org/10.3169/itej.73.58.

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26

Casale, Giuliano. "Accelerating Performance Inference over Closed Systems by Asymptotic Methods." ACM SIGMETRICS Performance Evaluation Review 45, no. 1 (September 18, 2017): 64. http://dx.doi.org/10.1145/3143314.3078514.

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27

Furche, Filipp, Brandon T. Krull, Brian D. Nguyen, and Jake Kwon. "Accelerating molecular property calculations with nonorthonormal Krylov space methods." Journal of Chemical Physics 144, no. 17 (May 7, 2016): 174105. http://dx.doi.org/10.1063/1.4947245.

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28

Matthews, Devin A., and John F. Stanton. "Accelerating the convergence of higher-order coupled cluster methods." Journal of Chemical Physics 143, no. 20 (November 28, 2015): 204103. http://dx.doi.org/10.1063/1.4936241.

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29

Casale, Giuliano. "Accelerating Performance Inference over Closed Systems by Asymptotic Methods." Proceedings of the ACM on Measurement and Analysis of Computing Systems 1, no. 1 (June 13, 2017): 1–25. http://dx.doi.org/10.1145/3084445.

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30

Neufeld, Verena A., and Alex J. W. Thom. "Accelerating Convergence in Fock Space Quantum Monte Carlo Methods." Journal of Chemical Theory and Computation 16, no. 3 (January 16, 2020): 1503–10. http://dx.doi.org/10.1021/acs.jctc.9b01023.

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31

Barioni, Maria Camila N., Humberto L. Razente, Agma J. M. Traina, and Caetano Traina. "Accelerating k-medoid-based algorithms through metric access methods." Journal of Systems and Software 81, no. 3 (March 2008): 343–55. http://dx.doi.org/10.1016/j.jss.2007.06.019.

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32

Saio, Tomohide, and Koichiro Ishimori. "Accelerating structural life science by paramagnetic lanthanide probe methods." Biochimica et Biophysica Acta (BBA) - General Subjects 1864, no. 2 (February 2020): 129332. http://dx.doi.org/10.1016/j.bbagen.2019.03.018.

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33

Davidović, Davor, Diego Fabregat-Traver, Markus Höhnerbach, and Edoardo Di Napoli. "Accelerating the computation of FLAPW methods on heterogeneous architectures." Concurrency and Computation: Practice and Experience 30, no. 24 (August 31, 2018): e4905. http://dx.doi.org/10.1002/cpe.4905.

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34

Korch, Matthias, and Tim Werner. "Accelerating explicit ODE methods on GPUs by kernel fusion." Concurrency and Computation: Practice and Experience 30, no. 18 (March 12, 2018): e4470. http://dx.doi.org/10.1002/cpe.4470.

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35

Li, Haoya, Hsiang-Fu Yu, Lexing Ying, and Inderjit S. Dhillon. "Accelerating Primal-Dual Methods for Regularized Markov Decision Processes." SIAM Journal on Optimization 34, no. 1 (February 20, 2024): 764–89. http://dx.doi.org/10.1137/21m1468851.

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36

Awasthi, Navchetan, Sandeep Kumar Kalva, Manojit Pramanik, and Phaneendra K. Yalavarthy. "Vector extrapolation methods for accelerating iterative reconstruction methods in limited-data photoacoustic tomography." Journal of Biomedical Optics 23, no. 04 (February 5, 2018): 1. http://dx.doi.org/10.1117/1.jbo.23.4.041204.

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Awasthi, Navchetan, Sandeep Kumar Kalva, Manojit Pramanik, and Phaneendra K. Yalavarthy. "Vector extrapolation methods for accelerating iterative reconstruction methods in limited-data photoacoustic tomography." Journal of Biomedical Optics 23, no. 07 (February 5, 2018): 1. http://dx.doi.org/10.1117/1.jbo.23.7.071204.

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Li, Hui Bin, Chen Xia Zhang, Quan Xi Li, Ting Jin, and Ke Feng Wang. "Experimental Study on NVH Performance of Midi Pure Electric Vehicle." Applied Mechanics and Materials 152-154 (January 2012): 1852–57. http://dx.doi.org/10.4028/www.scientific.net/amm.152-154.1852.

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Measurement of interior noise and vibration signals were conducted in accelerating and constant velocity driving conditions. By using time domain, frequency domain and 3D spectral array methods, the exterior noise, interior noise, the vibration acceleration of driver’s seat and suspension, the NVH characteristics of the Midi EU vehicle were analyzed. On the one hand, we find that the interior noise is larger than exterior noise under accelerating state, due to the cabin poorly sealing. On the other hand, because of the poor isolation rate of the driver’s seat, the vibration acceleration on the driver’s seat is very great and affecting the driver’s comfort. The experimental results also shows that the isolation rate of the suspension are relative good under different velocities. These experimental results will give help to further study of the NVH characteristic of the pure electrical vehicle.

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39

MIZOHATA, Eiichi. "Trends in Methods for Accelerating Structure Determination of Membrane Proteins." Nihon Kessho Gakkaishi 59, no. 4 (2017): 147–48. http://dx.doi.org/10.5940/jcrsj.59.147.

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40

Sachs, Stephen, Marcel Streitenberger, Dörte Sternel, and Michael Schäfer. "Extrapolation methods for accelerating unsteady partitioned fluid-structure interaction simulations." International Journal of Multiphysics 5, no. 4 (December 2011): 287–98. http://dx.doi.org/10.1260/1750-9548.5.4.287.

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41

Peplow, Douglas E., Thomas M. Miller, Bruce W. Patton, and John C. Wagner. "Hybrid Monte Carlo/Deterministic Methods for Accelerating Active Interrogation Modeling." Nuclear Technology 182, no. 1 (April 2013): 63–74. http://dx.doi.org/10.13182/nt13-a15827.

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Wolters, Emily R., Edward W. Larsen, and William R. Martin. "Hybrid Monte Carlo-CMFD Methods for Accelerating Fission Source Convergence." Nuclear Science and Engineering 174, no. 3 (July 2013): 286–99. http://dx.doi.org/10.13182/nse12-72.

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43

Janosi, Lorant, and Manolis Doxastakis. "Accelerating flat-histogram methods for potential of mean force calculations." Journal of Chemical Physics 131, no. 5 (2009): 054105. http://dx.doi.org/10.1063/1.3183165.

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44

Herr, Jonathan D., and Ryan P. Steele. "Accelerating ab initio molecular dynamics simulations by linear prediction methods." Chemical Physics Letters 661 (September 2016): 42–47. http://dx.doi.org/10.1016/j.cplett.2016.08.050.

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45

Mercier, François, Selime Gürol, Pierre Jolivet, Yann Michel, and Thibaut Montmerle. "Block Krylov methods for accelerating ensembles of variational data assimilations." Quarterly Journal of the Royal Meteorological Society 144, no. 717 (October 2018): 2463–80. http://dx.doi.org/10.1002/qj.3329.

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Păvăloiu, Ion. "Accelerating the convergence of the iterative methods of interpolatory type." Journal of Numerical Analysis and Approximation Theory 34, no. 2 (August 1, 2005): 169–73. http://dx.doi.org/10.33993/jnaat342-803.

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In this paper we deal with iterative methods of interpolatory type, for solving nonlinear equations in Banach spaces. We show that the convergence order of the iterations may considerably grow if the nodes are properly controlled.

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47

Renzitti, Stefano, Pouya Bastani, and Steven Sivorot. "Accelerating CVA and CVA Sensitivities Using Quasi‐Monte Carlo Methods." Wilmott 2020, no. 108 (July 2020): 78–93. http://dx.doi.org/10.1002/wilm.10860.

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48

Zhang, Shanghong, Wenda Li, Zhu Jing, Yujun Yi, and Yong Zhao. "Comparison of Three Different Parallel Computation Methods for a Two-Dimensional Dam-Break Model." Mathematical Problems in Engineering 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/1970628.

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Three parallel methods (OpenMP, MPI, and OpenACC) are evaluated for the computation of a two-dimensional dam-break model using the explicit finite volume method. A dam-break event in the Pangtoupao flood storage area in China is selected as a case study to demonstrate the key technologies for implementing parallel computation. The subsequent acceleration of the methods is also evaluated. The simulation results show that the OpenMP and MPI parallel methods achieve a speedup factor of 9.8× and 5.1×, respectively, on a 32-core computer, whereas the OpenACC parallel method achieves a speedup factor of 20.7× on NVIDIA Tesla K20c graphics card. The results show that if the memory required by the dam-break simulation does not exceed the memory capacity of a single computer, the OpenMP parallel method is a good choice. Moreover, if GPU acceleration is used, the acceleration of the OpenACC parallel method is the best. Finally, the MPI parallel method is suitable for a model that requires little data exchange and large-scale calculation. This study compares the efficiency and methodology of accelerating algorithms for a dam-break model and can also be used as a reference for selecting the best acceleration method for a similar hydrodynamic model.

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A, Dang Quang. "Accelerated methods for solving grid equation I." Journal of Computer Science and Cybernetics 9, no. 3 (April 26, 2016): 22–32. http://dx.doi.org/10.15625/1813-9663/9/3/8251.

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In this paper we propose a technique accelerating the convergence rate of the known iterative schemes for solving grid equations such as the alternately triangular method and the alternating direction method. Our idea is by the parametric extrapolation of the solutions of equations, which can be solved faster than the original ones. The effeciancy of the accelerated methods is shown on example.

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Hong, C.-W. "Dynamic Simulation of Road Vehicle Performance Under Transient Accelerating Conditions." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 210, no. 1 (January 1996): 11–21. http://dx.doi.org/10.1243/pime_proc_1996_210_240_02.

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A personal computer-based simulation package has been developed to design the powertrain system of passenger cars aiming to operate at optimal performance. This package is capable of dynamic simulation of road vehicle performance under transient accelerating conditions. Two methods are included: one is the traditional transient-reconstruction method using steady-state engine performance maps; the other is a dynamic simulation technique newly developed by the author. The latter is described in this paper. It is based on cyclic analysis of the engine thermofluid-combustion phenomena with additional considerations of flow inertia, thermal inertia and mechanical inertia effects. This transient engine model plus a dynamic powertrain model and a transient road-load simulation make it possible to predict the automobile performance under road-driving conditions. Two examples of transient performance prediction, including a sudden full-throttle acceleration at a fixed gear and a changing-gear starting acceleration from standstill, are demonstrated in this paper. These examples show that the relation between the engine speed and the road speed under accelerating conditions is very different to the steady-state relationships normally assumed.

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