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Journal articles on the topic 'Computational Grid'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

Nikitina, A. V., A. E. Chistyakov, and A. M. Atayan. "NUMERICAL IMPLEMENTATION OF A PARALLEL ALGORITHM FOR SOLVING THE PROBLEM OF POLLUTANT TRANSPORT IN A RESERVOIR ON A HIGH-PERFORMANCE COMPUTER SYSTEM." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 202 (April 2021): 27–36. http://dx.doi.org/10.14489/vkit.2021.04.pp.027-036.

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The purpose of this work is to create a software package for a distributed solution of the problem of transporting a pollutant in a reservoir with complex bathymetry and the presence of technological structures. An algorithm has been developed for the parallel solution of the problem of transporting a pollutant (pollutant) in a reservoir on a graphics accelerator controlled by the CUDA (Compute Unified Device Architecture) system; a comparative analysis of the operation of algorithms on a CPU (Central Processing Unit) and on a graphics accelerator GPU (Graphics Processing Unit) made it possibl

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Goswami, Sukalyan, and Kuntal Mukherjee. "High Performance Fault Tolerant Resource Scheduling in Computational Grid Environment." International Journal of Web-Based Learning and Teaching Technologies 15, no. 1 (January 2020): 73–87. http://dx.doi.org/10.4018/ijwltt.2020010104.

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Virtual resources team up to create a computational grid, which is used in computation-intensive problem solving. A majority of these problems require high performance resources to compute and generate results, making grid computation another type of high performance computing. The optimization in computational grids relates to resource utilization which in turn is achieved by the proper distribution of loads among participating resources. This research takes up an adaptive resource ranking approach, and improves the effectiveness of NDFS algorithm by scheduling jobs in those ranked resources,

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Bernth, Henrik, and Chris Chapman. "A comparison of the dispersion relations for anisotropic elastodynamic finite-difference grids." GEOPHYSICS 76, no. 3 (May 2011): WA43—WA50. http://dx.doi.org/10.1190/1.3555530.

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Several staggered grid schemes have been suggested for performing finite-difference calculations for the elastic wave equations. In this paper, the dispersion relationships and related computational requirements for the Lebedev and rotated staggered grids for anisotropic, elastic, finite-difference calculations in smooth models are analyzed and compared. These grids are related to a popular staggered grid for the isotropic problem, the Virieux grid. The Lebedev grid decomposes into Virieux grids, two in two dimensions and four in three dimensions, which decouple in isotropic media. Therefore t

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Kang, Ning, and Yuan Cao. "Research on Computational Fluid Dynamics with Effect of Grid Quality on the Accuracy of Simulated Results of Two Dimensional Low-Speed Parallel Flow." Applied Mechanics and Materials 685 (October 2014): 232–35. http://dx.doi.org/10.4028/www.scientific.net/amm.685.232.

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In the field of computational fluid dynamics, grid generation costs most of work. The accuracy and reliability of the simulated results depend directly on grid quality. The two dimensional parallel flow with low speed was used to study the effect of grid quality on simulated results. Several conclusions are obtained. The computational error decreases with the increase of domain size in flow direction. Too many grids in flow direction will lead to bigger round-off error, while too few grids will make it harder to catch the correct flow. The increase of grid quantity in the direction perpendicul

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Coveney, Peter V. "Scientific Grid computing." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 363, no. 1833 (July 18, 2005): 1707–13. http://dx.doi.org/10.1098/rsta.2005.1632.

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We introduce a definition of Grid computing which is adhered to throughout this Theme Issue. We compare the evolution of the World Wide Web with current aspirations for Grid computing and indicate areas that need further research and development before a generally usable Grid infrastructure becomes available. We discuss work that has been done in order to make scientific Grid computing a viable proposition, including the building of Grids, middleware developments, computational steering and visualization. We review science that has been enabled by contemporary computational Grids, and associat

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Miller, Russ, Naimesh Shah, Mark L. Green, William Furey, and Charles M. Weeks. "Shake-and-Bakeon the grid." Journal of Applied Crystallography 40, no. 5 (September 5, 2007): 938–44. http://dx.doi.org/10.1107/s0021889807034565.

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Computational and data grids represent an emerging technology that allows geographically and organizationally distributed resources (e.g.computing and storage resources) to be linked and accessed in a fashion that is transparent to the user, presenting an extension of the desktop for users whose computational, data and visualization needs extend beyond their local systems. The New York State Grid is an integrated computational and data grid that provides web-based access for users from around the world to computational, application and data storage resources. This grid is used in a ubiquitous

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Weller, Hilary, John Thuburn, and Colin J. Cotter. "Computational Modes and Grid Imprinting on Five Quasi-Uniform Spherical C Grids." Monthly Weather Review 140, no. 8 (August 1, 2012): 2734–55. http://dx.doi.org/10.1175/mwr-d-11-00193.1.

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Abstract Currently, most operational forecasting models use latitude–longitude grids, whose convergence of meridians toward the poles limits parallel scaling. Quasi-uniform grids might avoid this limitation. Thuburn et al. and Ringler et al. have developed a method for arbitrarily structured, orthogonal C grids called TRiSK, which has many of the desirable properties of the C grid on latitude–longitude grids but which works on a variety of quasi-uniform grids. Here, five quasi-uniform, orthogonal grids of the sphere are investigated using TRiSK to solve the shallow-water equations. Some of the

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Aloisio, Giovanni, Massimo Cafaro, Euro Blasi, and Italo Epicoco. "The Grid Resource Broker, A Ubiquitous Grid Computing Framework." Scientific Programming 10, no. 2 (2002): 113–19. http://dx.doi.org/10.1155/2002/969307.

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Portals to computational/data grids provide the scientific community with a friendly environment in order to solve large-scale computational problems. The Grid Resource Broker (GRB) is a grid portal that allows trusted users to create and handle computational/data grids on the fly exploiting a simple and friendly web-based GUI. GRB provides location-transparent secure access to Globus services, automatic discovery of resources matching the user's criteria, selection and scheduling on behalf of the user. Moreover, users are not required to learn Globus and they do not need to write specialized

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Ha, Minho, Cheolung Cheong, Hanshin Seol, Bu-Geun Paik, Min-Jae Kim, and Young-Rae Jung. "Development of Efficient and Accurate Parallel Computation Algorithm Using Moving Overset Grids on Background Multi-Domains for Complex Two-Phase Flows." Applied Sciences 8, no. 10 (October 16, 2018): 1937. http://dx.doi.org/10.3390/app8101937.

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The goal of this study involves developing an efficient and accurate parallel computation method for two-phase flow problems including complex moving foreign bodies. The proposed parallel computing techniques are based on the moving body-fitted grids’ overset on background multidomains with grid-overlapping at their interface. First, the cavitation flow over the hemispherical head form is investigated using the two-phase flow solver, which is validated by comparing the numerical and experimental results. Subsequently, the parallel computing technique based on the multidomain method that divide

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Guan, Steven, Ko-Tsung Hsu, and Parag V. Chitnis. "Fourier Neural Operator Network for Fast Photoacoustic Wave Simulations." Algorithms 16, no. 2 (February 19, 2023): 124. http://dx.doi.org/10.3390/a16020124.

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Simulation tools for photoacoustic wave propagation have played a key role in advancing photoacoustic imaging by providing quantitative and qualitative insights into parameters affecting image quality. Classical methods for numerically solving the photoacoustic wave equation rely on a fine discretization of space and can become computationally expensive for large computational grids. In this work, we applied Fourier Neural Operator (FNO) networks as a fast data-driven deep learning method for solving the 2D photoacoustic wave equation in a homogeneous medium. Comparisons between the FNO networ

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Abras, Jennifer N., C. Eric Lynch, and Marilyn J. Smith. "Computational Fluid Dynamics–Computational Structural Dynamics Rotor Coupling Using an Unstructured Reynolds-Averaged Navier–Stokes Methodology." Journal of the American Helicopter Society 57, no. 1 (January 1, 2012): 1–14. http://dx.doi.org/10.4050/jahs.57.012001.

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The focus of this paper is to discuss the unique challenges introduced through the use of unstructured grids in rotorcraft computational fluid dynamics (CFD)–computational structural dynamics (CSD) coupling. The use of unstructured grid methodology in CFD has been expanding because of the advantages in grid generation and modeling of complex configurations. However, the resulting amorphous distribution of the grid points on the rotor blade surface provides no information with regard to the orientation of the blade, in direct contrast to structured grid methodology that can take advantage of th

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Bindle, Liam, Randall V. Martin, Matthew J. Cooper, Elizabeth W. Lundgren, Sebastian D. Eastham, Benjamin M. Auer, Thomas L. Clune, et al. "Grid-stretching capability for the GEOS-Chem 13.0.0 atmospheric chemistry model." Geoscientific Model Development 14, no. 10 (October 6, 2021): 5977–97. http://dx.doi.org/10.5194/gmd-14-5977-2021.

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Abstract. Modeling atmospheric chemistry at fine resolution globally is computationally expensive; the capability to focus on specific geographic regions using a multiscale grid is desirable. Here, we develop, validate, and demonstrate stretched grids in the GEOS-Chem atmospheric chemistry model in its high-performance implementation (GCHP). These multiscale grids are specified at runtime by four parameters that offer users nimble control of the region that is refined and the resolution of the refinement. We validate the stretched-grid simulation versus global cubed-sphere simulations. We demo

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Weller, Hilary. "Controlling the Computational Modes of the Arbitrarily Structured C Grid." Monthly Weather Review 140, no. 10 (October 1, 2012): 3220–34. http://dx.doi.org/10.1175/mwr-d-11-00221.1.

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Abstract The arbitrarily structured C grid, Thuburn–Ringler–Skamarock–Klemp (TRiSK), is being used in the Model for Prediction Across Scales (MPAS) and is being considered by the Met Office for their next dynamical core. However, the hexagonal C grid supports a branch of spurious Rossby modes, which lead to erroneous grid-scale oscillations of potential vorticity (PV). It is shown how these modes can be harmlessly controlled by using upwind-biased interpolation schemes for PV. A number of existing advection schemes for PV are tested, including that used in MPAS, and none are found to give adeq

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AUSTIN, MELANIE E., and N. ROSS CHAPMAN. "THE USE OF TESSELLATION IN THREE-DIMENSIONAL PARABOLIC EQUATION MODELING." Journal of Computational Acoustics 19, no. 03 (September 2011): 221–39. http://dx.doi.org/10.1142/s0218396x11004328.

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A full three-dimensional parabolic equation model (MONM3D) has been developed that incorporates techniques that reduce the required number of model grid points and reduces computation time. The concept of tessellation is implemented in MONM3D, which allows the number of radial paths in the model grid to vary with range from the source, reducing the number of computational points in the horizontal plane. This design establishes a grid layout that is both numerically and computationally desirable. A benchmark test case is used to illustrate the accuracy and efficiency of the model.

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Kalmykov, S. P. "Effect of computational grid cell size and heterogeneity of computing area for estimated fire detection time." Pozharovzryvobezopasnost/Fire and Explosion Safety 31, no. 4 (September 28, 2022): 56–64. http://dx.doi.org/10.22227/0869-7493.2022.31.04.56-64.

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Introduction. In Russia, based on the provisions of the current regulatory documents, the time for the start of evacuation for a room in which a fire broke out is determined depending on the area of the room. According to some authors, the time of the start of the evacuation of people is a combination of “technical”, which includes the time of detection of a fire, and “psychophysical”, determined by the behavioral and organizational characteristics of the people who make it up. The fire detection time is currently not taken into account.Purpose. Evaluation of the influence of the size of the c

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Bilbao-Castro, J. R., R. Marabini, J. M. Carazo, I. Garcia, and J. J. Fernandez. "THE POTENTIAL OF GRID COMPUTING IN THREE-DIMENSIONAL ELECTRON MICROSCOPY." Parallel Processing Letters 14, no. 02 (June 2004): 151–62. http://dx.doi.org/10.1142/s0129626404001805.

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This article describes a potential application of grid computing in structural biology. Three-dimensional electron microscopy allows the investigation of biological structures over a wide range of sizes, from cells to single macromolecules. Knowledge of the structure is critical to understanding the function of biological specimens. However, high resolution structure determination is computationally intensive. This contribution analyzes the potential benefits of grid computing in this field, and draws the conclusion that there are excellent opportunities to take advantage of computational grid

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Raza, Zahid, and Deo P. Vidyarthi. "Reliability Based Scheduling Model (RSM) for Computational Grids." International Journal of Distributed Systems and Technologies 2, no. 2 (April 2011): 20–37. http://dx.doi.org/10.4018/jdst.2011040102.

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Computational Grid attributed with distributed load sharing has evolved as a platform to large scale problem solving. Grid is a collection of heterogeneous resources, offering services of varying natures, in which jobs are submitted to any of the participating nodes. Scheduling these jobs in such a complex and dynamic environment has many challenges. Reliability analysis of the grid gains paramount importance because grid involves a large number of resources which may fail anytime, making it unreliable. These failures result in wastage of both computational power and money on the scarce grid r

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Kaushik, Achal, and Deo P. Vidyarthi. "A Cooperative Cell Model in Computational Mobile Grid." International Journal of Business Data Communications and Networking 8, no. 1 (January 2012): 19–36. http://dx.doi.org/10.4018/jbdcn.2012010102.

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Computation in the mobile grid nodes under the cellular network environment requires an efficient management of wireless channels along with the user mobility. Due to random movement of the mobile devices, the load over the cells in terms of initiation of new computation or carryover computation (handoff) may vary dynamically. This may result in non-availability of free channels for Inter-task communication leading in the drop of carryover computation or to initiate the new computation in the current cell. The proposed work designs a model by instigating substantive cooperation among underutil

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Morikawa, Go, and Ichiro Kimura. "Numerical analysis of flood with a double grid model." E3S Web of Conferences 40 (2018): 05042. http://dx.doi.org/10.1051/e3sconf/20184005042.

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The objective of this study is to verify the validity of a hyper grid type (double grid model) computational model, for calculating flood flows with inundations. Nowadays, detailed information of the bathymetry is available due to improved measurement techniques, such as LP data. However, the number of grid cells used in the computation is limited because of the limitation of computational infrastructures. A double grid approach based on the model proposed by Volp et. al.(2013) is employed to overcome this problem.This model directly uses the high resolution topographic data though the discret

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NANDAGOPAL, MALARVIZHI, S. GAJALAKSHMI, and V. RHYMEND UTHARIARAJ. "SCHEDULING WITH JOB CHECKPOINT IN COMPUTATIONAL GRID ENVIRONMENT." International Journal of Modeling, Simulation, and Scientific Computing 02, no. 03 (September 2011): 299–316. http://dx.doi.org/10.1142/s1793962311000517.

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Computational grids have the potential for solving large-scale scientific applications using heterogeneous and geographically distributed resources. In addition to the challenges of managing and scheduling these applications, reliability challenges arise because of the unreliable nature of grid infrastructure. Two major problems that are critical to the effective utilization of computational resources are efficient scheduling of jobs and providing fault tolerance in a reliable manner. This paper addresses these problems by combining the checkpoint replication based fault tolerance mechanism wi

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Gou, Mengjiao, Bohua Liu, Xiaomao Sun, and Yuli Ma. "Computational fluid dynamics grid technology development." Frontiers in Computing and Intelligent Systems 1, no. 3 (October 25, 2022): 61–64. http://dx.doi.org/10.54097/fcis.v1i3.2110.

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This paper reviews the development of computational fluid dynamics, especially computational aerodynamics. This paper summarizes the achievements of CFD in grid technology, analyzes the existing problems and perplexities, and prospects its development trend. The CFD grid technology includes structured grid, unstructured grid, hybrid grid and overlapping grid.

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Cui, Pengcheng, Bin Li, Jing Tang, Jiangtao Chen, and Youqi Deng. "A modified adjoint-based grid adaptation and error correction method for unstructured grid." Modern Physics Letters B 32, no. 12n13 (May 10, 2018): 1840020. http://dx.doi.org/10.1142/s0217984918400201.

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Grid adaptation is an important strategy to improve the accuracy of output functions (e.g. drag, lift, etc.) in computational fluid dynamics (CFD) analysis and design applications. This paper presents a modified robust grid adaptation and error correction method for reducing simulation errors in integral outputs. The procedure is based on discrete adjoint optimization theory in which the estimated global error of output functions can be directly related to the local residual error. According to this relationship, local residual error contribution can be used as an indicator in a grid adaptatio

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Lesyng, Bogdan, Piotr Bała, and Dietmar Erwin. "EUROGRID—European computational grid testbed." Journal of Parallel and Distributed Computing 63, no. 5 (May 2003): 590–96. http://dx.doi.org/10.1016/s0743-7315(03)00005-4.

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Giocomo, Lisa M., May-Britt Moser, and Edvard I. Moser. "Computational Models of Grid Cells." Neuron 71, no. 4 (August 2011): 589–603. http://dx.doi.org/10.1016/j.neuron.2011.07.023.

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Agarwal, A., M. Ahmed, A. Berman, B. L. Caron, A. Charbonneau, D. Deatrich, R. Desmarais, et al. "GridX1: A Canadian computational grid." Future Generation Computer Systems 23, no. 5 (June 2007): 680–87. http://dx.doi.org/10.1016/j.future.2006.12.006.

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Huedo, Eduardo, Ugo Bastolla, Ruben S. Montero, and Ignacio M. Llorente. "Computational proteomics on the grid." New Generation Computing 22, no. 2 (June 2004): 191–92. http://dx.doi.org/10.1007/bf03040959.

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Casulli, Vincenzo. "Computational grid, subgrid, and pixels." International Journal for Numerical Methods in Fluids 90, no. 3 (January 27, 2019): 140–55. http://dx.doi.org/10.1002/fld.4715.

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Richard, R. J. A., Ajay Anant Joshi, and C. Eswaran. "Implementation of Computational Grid Services in Enterprise Grid Environments." American Journal of Applied Sciences 5, no. 11 (November 1, 2008): 1442–47. http://dx.doi.org/10.3844/ajassp.2008.1442.1447.

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Zürcher, Bruno K. "Fast approximate Barnes interpolation: illustrated by Python-Numba implementation fast-barnes-py v1.0." Geoscientific Model Development 16, no. 6 (March 27, 2023): 1697–711. http://dx.doi.org/10.5194/gmd-16-1697-2023.

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Abstract. Barnes interpolation is a method that is widely used in geospatial sciences like meteorology to remodel data values recorded at irregularly distributed points into a representative analytical field. When implemented naively, the effort to calculate Barnes interpolation depends on the product of the number of sample points N and the number of grid points W×H, resulting in a computational complexity of O(N⋅W⋅H). In the era of highly resolved grids and overwhelming numbers of sample points, which originate, e.g., from the Internet of Things or crowd-sourced data, this computation can be

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Šimon, Marek, Ladislav Huraj, and Vladimír Siládi. "Analysis of performance bottleneck of P2P grid applications." Journal of Applied Mathematics, Statistics and Informatics 9, no. 2 (December 1, 2013): 5–11. http://dx.doi.org/10.2478/jamsi-2013-0008.

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Abstract The OurGrid distributed environment is an open source grid middleware that enables the creation of P2P computational grids to speed up the execution of bag-of-tasks applications. Bag-of-tasks is an application model composed of several independent tasks not communicating with each other during their execution, tolerating network delays and faults. The paper shows that the main advantage to avoid bottlenecks is if the data gets larger or computations become more complex and the conclusion is made based on the presented measurements. Understanding such patterns sheds an insightful light

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Don, Wai-Sun, Antonio de Gregorio, Jean-Piero Suarez, and Gustaaf B. Jacobs. "Assessing the Performance of a Three Dimensional Hybrid Central-WENO Finite Difference scheme with Computation of a Sonic Injector in Supersonic Cross Flow." Advances in Applied Mathematics and Mechanics 4, no. 06 (December 2012): 719–36. http://dx.doi.org/10.4208/aamm.12-12s03.

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AbstractA hybridization of a high order WENO-Zfinite difference scheme and a high order central finite difference method for computation of the two-dimensional Euler equations first presented in [B. Costa and W. S. Don, J. Comput. Appl. Math., 204(2) (2007)] is extended to three-dimensions and for parallel computation. The Hybrid scheme switches dynamically from a WENO-Zscheme to a central scheme at any grid location and time instance if the flow is sufficiently smooth and vice versa if the flow is exhibiting sharp shock-type phenomena. The smoothness of the flow is determined by a high order

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Saleh, Ahmed I. "A Novel System Oriented Scheduler for Avoiding Haste Problem in Computational Grids." International Journal of Grid and High Performance Computing 3, no. 1 (January 2011): 21–44. http://dx.doi.org/10.4018/jghpc.2011010102.

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Scheduling is an important issue that must be handled carefully to realize the “Just login to compute” principle introduced by computational grids. Current grid schedulers suffer from the haste problem, which is the inability to schedule all tasks successfully. Accordingly, some tasks fail to complete execution as they are allocated to unsuitable workers. Others may not start execution as suitable workers are previously allocated to other tasks. This paper introduces the scheduling haste problem and presents a novel high throughput grid scheduler. The proposed scheduler selects the most suitab

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Zhang, Wensheng, and Hui Zheng. "A multiscale method for wave propagation in 3D heterogeneous poroelastic media." GEOPHYSICS 84, no. 4 (July 1, 2019): T237—T257. http://dx.doi.org/10.1190/geo2018-0482.1.

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A new multiscale method for wave simulation in 3D heterogeneous poroelastic media is developed. Wave propagation in inhomogeneous media involves many different scales of media. The physical parameters in the real media usually vary greatly within a very small scale. For the direct numerical methods for wave simulation, a refined grid is required in mesh generation to maintain the match between the mesh size and the material variations in the spatial scale. This greatly increases the computational cost and computer memory requirements. The multiscale method can overcome this difficulty due to t

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Kornilina, Marina Andreyevna, and Mikhail Vladimirovich Yakobovskiy. "Estimation of computational overheads for calculations on locally refined meshes." Keldysh Institute Preprints, no. 102 (2022): 1–36. http://dx.doi.org/10.20948/prepr-2022-102.

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A method for presenting grid data and algorithms for their processing when performing calculations on locally refined adaptive grids is considered. Estimates are obtained of the dependence of the number of operations and computational overheads on such parameters as the size of the base regular grid, the depth of refinement, and the number of processors. Algorithms for dynamic load balancing of processors, which provide a low level of overhead costs, are considered.

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Petcu, Dana, Marcin Paprzycki, and Diana Dubu. "Design and Implementation of a Grid Extension for Maple." Scientific Programming 13, no. 2 (2005): 137–49. http://dx.doi.org/10.1155/2005/653638.

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One of the important issues facing the development of the grid as a computational framework of the future is availability of grid-enabled software. In this context, we discuss possible approaches to constructing a grid-enabled version of a computer algebra system. Our case study involves Maple: the proposed Maple2g package allows the connection between Maple and the computational grids based on the Globus Toolkit. We present the design of the Maple2g package and follow with a detailed discussion of its implementation. Finally, we illustrate performance of Maple2g in a number of experiments.

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HEINZLREITER, PAUL, and DIETER KRANZLMÜLLER. "VISUALIZATION SERVICES ON THE GRID: THE GRID VISUALIZATION KERNEL." Parallel Processing Letters 13, no. 02 (June 2003): 135–48. http://dx.doi.org/10.1142/s0129626403001203.

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Two important tools of today's science and engineering are computational grids and visualization. While grid infrastructures offer a means to process large amounts of data across different, possibly distant resources, visualization aids in understanding the meaning of data. The Grid Visualization Kernel (GVK) addresses the connection of grid applications and visualization clients on the grid. The visualization capabilities of GVK are provided as flexible grid services via dedicated interfaces and protocols, while GVK itself relies on Globus services to implement the functionality of the visual

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Benedict, Shajulin, Rejitha R. S, and V. Vasudevan. "An Evolutionary Hybrid Scheduling Algorithm for Computational Grids." Journal of Advanced Computational Intelligence and Intelligent Informatics 12, no. 5 (September 20, 2008): 479–84. http://dx.doi.org/10.20965/jaciii.2008.p0479.

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Grids promote user collaboration through flexible, coordinated sharing of distributed resources to solve a single large problem. Grid scheduling, similar to resource discovery and monitoring, is inherently more complex in Grid environments. We propose two approaches for solving Grid scheduling problems with the simultaneous objectives of maximizing the number of workflow executions and minimizing the waiting time variance among tasks of each workflow. One is the multiple objective Niched Pareto Genetic Algorithm (NPGA) that involves evolution during a comprehensive search and work on multiple

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Allahyari, Majid, Vahid Esfahanian, and Kianoosh Yousefi. "The Effects of Grid Accuracy on Flow Simulations: A Numerical Assessment." Fluids 5, no. 3 (July 10, 2020): 110. http://dx.doi.org/10.3390/fluids5030110.

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High-quality, accurate grid generation is a critical challenge in the computational simulation of fluid flows around complex geometries. In particular, the accuracy of the grids is an effective factor in order to achieve a successful numerical simulation. In the current study, we present a series of systematic numerical simulations for fluid flows around a NACA 0012 airfoil using different computational grid generation techniques, including the standard second-order, fourth-order compact, and Theodorsen transformation approaches, to assess the effects of grid accuracy on the flow solutions. Th

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Aparna, K., K. Karthik, and K. N. Seetharamu. "Natural Convection Flows in Porous Square Enclosures with Different Aspect Ratios." Applied Mechanics and Materials 592-594 (July 2014): 1657–61. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.1657.

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Natural convection is studied numerically using finite element based computational procedure. The enclosure used for flow and heat transfer analysis has been bounded by adiabatic top wall, constant temperature cold vertical walls and a horizontal bottom wall. The grid independent study has been made with different grids to yield consistent values. Different grid sizes 30x30, 40x40, 50x50 uniform meshes have been studied. Study shows the convergence of average Nusselt number for a grid size of 41x41. Hence a grid size of 40x40 is used in all computations. Nusselt numbers are computed for differ

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Xu, Zhiyu, Yonghua Tan, and Xiaoming Li. "Wavelet Methods and Adaptive Grids in One-Dimensional Movable Boundary Problems." Mathematical Problems in Engineering 2020 (March 9, 2020): 1–10. http://dx.doi.org/10.1155/2020/2545292.

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Adaptive wavelet collocation methods use wavelet transform and filtering to generate adaptive grids. However, if the boundary moves, the grid becomes aberrant. It baffles wavelet transform and makes the adaptive wavelet methods lose advantages on computational efficiency. This paper develops a series of methods or skills to effectively perform wavelet transform and to generate adaptive grids for one-dimensional movable boundary problems. The methods remain the original inner grid points and keep the grid in the original-nested structure, in order to remain scanty during the whole computing pro

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Ghosh, Tarun Kumar, and Sanjoy Das. "Efficient Job Scheduling in Computational Grid Systems Using Wind Driven Optimization Technique." International Journal of Applied Metaheuristic Computing 9, no. 1 (January 2018): 49–59. http://dx.doi.org/10.4018/ijamc.2018010104.

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Computational Grid has been employed for solving complex and large computation-intensive problems with the help of geographically distributed, heterogeneous and dynamic resources. Job scheduling is a vital and challenging function of a computational Grid system. Job scheduler has to deal with many heterogeneous computational resources and to take decisions concerning the dynamic, efficient and effective execution of jobs. Optimization of the Grid performance is directly related with the efficiency of scheduling algorithm. To evaluate the efficiency of a scheduling algorithm, different paramete

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Martynenko, S. I. "Remarks on Generation of the Orthogonal Structured Grids." Herald of the Bauman Moscow State Technical University. Series Natural Sciences, no. 82 (2019): 16–26. http://dx.doi.org/10.18698/1812-3368-2019-1-16-26.

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Grid generation techniques have contributed significantly toward the application of mathematical modeling in large-scale engineering problems. The structured grids have the advantage that very robust and parallel computational algorithms have been proposed for solving (initial-)boundary value problems. Orthogonal grids make it possible to simplify an approximation of the differential equations and to increase computation accuracy. Opportunity of the orthogonal structured grid generation for solving two- and three-dimensional (initial-)boundary value problems is analyzed in the article in assum

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Xu, Lin, Yong-Hong Tang, Wei Pu, and Yang Han. "Hybrid electromechanical-electromagnetic simulation to SVC controller based on ADPSS platform." Journal of Energy in Southern Africa 25, no. 4 (December 19, 2014): 112–22. http://dx.doi.org/10.17159/2413-3051/2014/v25i4a2244.

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To test the dynamic performance and damping features of a static var compensator (SVC) controller accurately in large-scale interconnected AC/DC hybrid power systems, it is of vital significance to build the detailed electromagnetic transient model. However, it is unrealistic and time-consuming to build the detailed models of all the devices in the actual large-scale power grid. Utilizing the hybrid simulation function in the advanced digital power system simulator (ADPSS) and by dividing the large-scale power grid into the electromagnetic transient sub-grids and electromechanical sub-grids, t

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Lee, Minhyung, Gwanyong Park, Changyoung Park, and Changmin Kim. "Improvement of Grid Independence Test for Computational Fluid Dynamics Model of Building Based on Grid Resolution." Advances in Civil Engineering 2020 (December 23, 2020): 1–11. http://dx.doi.org/10.1155/2020/8827936.

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Computational fluid dynamics (CFD) is being used in various research fields on the building environment. Target space of the CFD model is divided into a finite number of grids for numerical analysis. Therefore, an optimal grid design is required to obtain accurate results. The grid independence test is generally performed to design an optimal grid. However, given that there is no standardized procedure for gird independence test, most depend on the researcher’s experience and knowledge. In the conventional method, the subjective judgment of the researcher affected the selection of the grid con

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Wang, Bingzhu, Edward S. Krebes, and Dhananjay Ravat. "High-precision potential-field and gradient-component transformations and derivative computations using cubic B-splines." GEOPHYSICS 73, no. 5 (September 2008): I35—I42. http://dx.doi.org/10.1190/1.2953291.

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Potential-field and gradient-component transformations and derivative computations are necessary for many techniques of data enhancement, direct interpretation, and inversion. We advance new unified formulas for fast interpolation, differentiation, and integration and propose flexible high-precision algorithms to perform 3D and 2D potential-field- and gradient component transformations and derivative computations in the space domain using cubic B-splines. The spline-based algorithms are applicable to uniform or nonuniform rectangular grids for the 3D case and to regular or irregular grids for

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Cho, Yongchae, and Richard L. Gibson, Jr. "Reverse time migration via frequency-adaptive multiscale spatial grids." GEOPHYSICS 84, no. 2 (March 1, 2019): S41—S55. http://dx.doi.org/10.1190/geo2018-0292.1.

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Reverse time migration (RTM) is widely used because of its ability to recover complex geologic structures. However, RTM also has a drawback in that it requires significant computational cost. In RTM, wave modeling accounts for the largest part of the computing cost for calculating forward- and backward-propagated wavefields before applying an imaging condition. For this reason, we have applied a frequency-adaptive multiscale spatial grid to enhance the efficiency of the wave simulations. To implement wave modeling for different values of the spatial grid interval, we apply a model reduction te

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Barbato, Alessio, Clara Iacovano, and Francesco Cicci. "Impact of Grid Density on the Analysis of the In-Cylinder Flow of an Optical Engine." E3S Web of Conferences 197 (2020): 06018. http://dx.doi.org/10.1051/e3sconf/202019706018.

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The evaluation of Internal Combustion Engine (ICE) flows by 3D-CFD strongly depends on a combination of mutually interacting factors, among which grid resolution, closure model, numerics. A careful choice should be made in order to limit the extremely high computational cost and numerical problems arising from the combination of refined grids, high-order numeric schemes and complex geometries typical of ICEs. The paper focuses on the comparison between different grid strategies: in particular, attention is focused firstly on near-wall grid through the comparison between multi-layer and single-

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GEIJER, JOHAN, BORIS LENHARD, ROXANA MERINO-MARTINEZ, GUNNAR NORSTEDT, and AMILCAR FLORES-MORALES. "GRID COMPUTING FOR THE ANALYSIS OF REGULATORY ELEMENTS IN CO-REGULATED SETS OF GENES." Parallel Processing Letters 14, no. 02 (June 2004): 137–50. http://dx.doi.org/10.1142/s0129626404001799.

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We describe an initial implementation of a platform for the analysis of gene promoter architecture for sets of genes from human and other higher organisms, using NorduGrid as the Grid Virtual Organization. The procedure leading from a set of co-regulated genes to a set of inferred common regulatory elements involves a number of computationally intensive, but well scalable steps. We show it is feasible to implement a high performance genomic regulatory sequence analysis pipeline on the Grid with minimal modification to the existing computational biology software components. We applied a job bin

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Matsuoka, S., S. Shinjo, M. Aoyagi, S. Sekiguchi, H. Usami, and K. Miura. "Japanese Computational Grid Research Project: NAREGI." Proceedings of the IEEE 93, no. 3 (March 2005): 522–33. http://dx.doi.org/10.1109/jproc.2004.842748.

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NEERAJ, RATHORE. "INSTALLATION OF ALCHEMI.NET IN COMPUTATIONAL GRID." i-manager's Journal on Computer Science 4, no. 2 (2016): 1. http://dx.doi.org/10.26634/jcom.4.2.8119.

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