Relevant bibliographies by topics / Computational Grid

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Computational Grid'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Computational Grid"

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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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Dissertations / Theses on the topic "Computational Grid"

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Lu, Kai. "Decentralized load balancing in heterogeneous computational grids." Thesis, The University of Sydney, 2007. http://hdl.handle.net/2123/9382.

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With the rapid development of high-speed wide-area networks and powerful yet low-cost computational resources, grid computing has emerged as an attractive computing paradigm. The space limitations of conventional distributed systems can thus be overcome, to fully exploit the resources of under-utilised computing resources in every region around the world for distributed jobs. Workload and resource management are key grid services at the service level of grid software infrastructure, where issues of load balancing represent a common concern for most grid infrastructure developers. Although
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Ming, Jiang. "Distributed simulations on a computational Grid." Thesis, University of Birmingham, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.487476.

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In order to simulate a large scale and complex model, a distributed simulation normally may require to harness and organise a huge amount of computing and network resources to support the simulation. A computational Grid is a novel distributed computing system that is able to organise virtually unlimited computing and network resources together to meet the resource requirements of various computational intensive problems. This thesis focuses on the issues of the integration of a distributed simulation and a computational Grid. Particularly, the dynamic and heterogeneous nature of Grid resource
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Cardenas, Baron Yonni Brunie Lionel Pierson Jean-Marc. "Grid caching specification and implementation of collaborative cache services for grid computing /." Villeurbanne : Doc'INSA, 2008. http://docinsa.insa-lyon.fr/these/pont.php?id=cardenas_baron.

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Phinjaroenphan, Panu, and s2118294@student rmit edu au. "An Efficient, Practical, Portable Mapping Technique on Computational Grids." RMIT University. Computer Science and Information Technology, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080516.145808.

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Grid computing provides a powerful, virtual parallel system known as a computational Grid on which users can run parallel applications to solve problems quickly. However, users must be careful to allocate tasks to nodes properly because improper allocation of only one task could result in lengthy executions of applications, or even worse, applications could crash. This allocation problem is called the mapping problem, and an entity that tackles this problem is called a mapper. In this thesis, we aim to develop an efficient, practical, portable mapper. To study the mapping problem, researc
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Lepping, Joachim [Verfasser]. "Dezentrales grid scheduling mittels computational intelligence / Joachim Lepping." Dortmund : Universitätsbibliothek Technische Universität Dortmund, 2011. http://d-nb.info/1011570572/34.

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Quirk, J. J. "An adaptive grid algorithm for computational shock hydrodynamics." Thesis, Boston Spa, U.K. : British Library Document Supply Centre, 1991. http://ethos.bl.uk/OrderDetails.do?did=1&uin=uk.bl.ethos.280913.

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Paulus, Amanda. "A Model-Predictive-Control Based Smart-Grid Aggregator." Thesis, KTH, Optimeringslära och systemteori, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230958.

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Intermittent energy source usage, such as solar and wind power, is continuously increasing. Intermittent energy sources are highly dependent on prevailing weather conditions, resulting in stochastic electricity generation. The expected stochasticity in electricity generation will cause issues for the current power grid. Moreover, an expected issue for the Swedish power grid is higher peak loads. Thus, there is an emerging need for novel and smart power systems capable of shifting peak loads in the future electricity grid. Model Predictive Control (MPC) is a sophisticated control method that is
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Popescu, Mihaela. "A finite volume, Cartesian grid method for computational aeroacoustics." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011602.

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Afgan, Enis. "Utility driven grid scheduling framework." Birmingham, Ala. : University of Alabama at Birmingham, 2009. https://www.mhsl.uab.edu/dt/2009p/afgan.pdf.

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Thesis (Ph. D.)--University of Alabama at Birmingham, 2009.<br>Title from PDF title page (viewed Sept. 1, 2009). Additional advisors: Brandon Eames, Elliot Lefkowitz, Anthony Skjellum, Alan Sprague. Includes bibliographical references (p. 228-245).
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Sandholm, Thomas. "Managing Service Levels in Grid Computing Systems : Quota Policy and Computational Market Approaches." Licentiate thesis, KTH, Numerical Analysis and Computer Science, NADA, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4346.

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<p>We study techniques to enforce and provision differentiated service levels in <i>Computational Grid</i> systems. The Grid offers simplified provisioning of peak-capacity for applications with computational requirements beyond local machines and clusters, by sharing resources across organizational boundaries. Current systems have focussed on access control, i.e., managing who is allowed to run applications on remote sites. Very little work has been done on providing differentiated service levels for those applications that are admitted. This leads to a number of problems when scheduling jobs
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Books on the topic "Computational Grid"

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P, Hills David, European Computational Aerodynamics Research Project., and European Commission. Directorate-General XII, Science, Research, and Development., eds. Computational mesh adaptation: ECARP--European Computational Aerodynamics Research Project. Braunschweig/Wiesbaden: Vieweg, 1999.

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Fey, Dietmar. Grid-Computing: Grid Computing fu r Computational Science. Berlin: Springer Berlin, 2009.

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S, Liou M., and United States. National Aeronautics and Space Administration., eds. Direct replacement of arbitrary grid-overlapping by non-structured grid. [Washington, DC]: National Aeronautics and Space Administration, 1994.

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J, Barth Timothy, and Ames Research Center, eds. Three-dimensional unstructured grid refinement and optimization using edge swapping. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1993.

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Timothy, Barth, and Ames Research Center, eds. Three-dimensional unstructured grid refinement and optimization using edge swapping. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1993.

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J, Barth Timothy, and Ames Research Center, eds. Three-dimensional unstructured grid refinement and optimization using edge swapping. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1993.

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Craig, Fellenstein, ed. Grid computing. Upper Saddle River, N.J: Prentice Hall Professional Technical Reference, 2004.

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Hall, Daniel James. Three-dimensional elliptic grid generation. [Downsview, Ont.]: Dept. of Aerospace Science and Engineering, University of Toronto, 1992.

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Spence, H. E. Contributions of the low-latitude boundary layer to the finite width magnetotail convection model. El Segundo, Calif: The Aerospace Corporation, 1993.

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Spence, H. E. Contributions of the low-latitude boundary layer to the finite width magnetotail convection model. El Segundo, Calif: The Aerospace Corporation, 1993.

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Book chapters on the topic "Computational Grid"

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Shekhar, Shashi, and Hui Xiong. "Computational Grid." In Encyclopedia of GIS, 112. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_162.

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Shekhar, Shashi, and Hui Xiong. "Geospatial Computational Grid." In Encyclopedia of GIS, 385. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_504.

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Fey, Dietmar. "Grid Computing für Computational Science." In Grid-Computing, 3–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79747-0_1.

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Kythe, Prem K. "Grid Generation." In Computational Conformal Mapping, 379–400. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-2002-2_15.

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Shin, Pil-Sup, Won-Kee Hong, Hiecheol Kim, and Shin-Dug Kim. "Configuration Method of Multiple Clusters for the Computational Grid." In Grid Computing — GRID 2000, 170–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44444-0_16.

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Heymann, Elisa, Miquel A. Senar, Emilio Luque, and Miron Livny. "Adaptive Scheduling for Master-Worker Applications on the Computational Grid." In Grid Computing — GRID 2000, 214–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44444-0_20.

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Maeng, Hye-Seon, Tack-Don Han, and Shin-Dug Kim. "Resource Management Method for Cooperative Web Computing on Computational Grid." In Grid Computing — GRID 2000, 55–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44444-0_6.

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Renner, Uwe. "Computational Statistical Physics – Stochastische Simulation von Diffusionsprozessen." In Grid-Computing, 325–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79747-0_15.

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Rockstuhl, Carsten, Thomas Paul, Thomas Pertsch, and Falk Lederer. "Computational Photonics – Grid Computing in der Nanooptik." In Grid-Computing, 367–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79747-0_17.

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Brinkmann, Matthias, and Malte Hagemann. "Computational Photonics – Das Design von organischen Leuchtdioden." In Grid-Computing, 385–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79747-0_18.

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Conference papers on the topic "Computational Grid"

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Wang, Wei. "Engineering Computational Service Grid: A Flexible Engineering Computational Environment Based on Grid Computing." In 2009 WRI World Congress on Computer Science and Information Engineering. IEEE, 2009. http://dx.doi.org/10.1109/csie.2009.264.

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Wu, Yongwei, Yulai Yuan, Guangwen Yang, and Weimin Zheng. "Load prediction using hybrid model for computational grid." In 2007 8th IEEE/ACM International Conference on Grid Computing. IEEE, 2007. http://dx.doi.org/10.1109/grid.2007.4354138.

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Musunoori, S. B., F. Eliassen, and V. S. W. Eide. "QoS-driven service configuration in computational grids." In The 6th IEEE/ACM International Workshop on Grid Computing, 2005. IEEE, 2005. http://dx.doi.org/10.1109/grid.2005.1542760.

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Katanoda, H. "Influence of Computational Grid Spacing on Gas/Particle Flow of Cold Spray." In ITSC2011, edited by B. R. Marple, A. Agarwal, M. M. Hyland, Y. C. Lau, C. J. Li, R. S. Lima, and A. McDonald. DVS Media GmbH, 2011. http://dx.doi.org/10.31399/asm.cp.itsc2011p0609.

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Abstract The grid-spacing dependency of the numerical solutions of the supersonic gas/particle impinging flow of the cold spray is investigated. The control parameters of the grid spacing in the nozzle are the radial grid spacing normal to the nozzle wall, the axial grid spacing at the nozzle exit, and the radial number of grids in the nozzle. The working gas is nitrogen with a pressure and a temperature of 2MPa and 600K at the stagnant chamber. The solid particle to be accelerated by the supersonic gas flow is spherical copper 5µm in diameter. The numerical results reveal that the computation
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Pirzadeh, Shahyar. "An adaptive unstructured grid method by grid subdivision, local remeshing, and grid movement." In 14th Computational Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1999. http://dx.doi.org/10.2514/6.1999-3255.

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Mazaheri, Ali, and Bil Kleb. "Exploring Hypersonic, Unstructured-Grid Issues through Structured Grids." In 18th AIAA Computational Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-4462.

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Limaye, K., B. Leangsuksun, Yudan Liu, Z. Greenwood, S. L. Scott, R. Libby, and K. Chanchio. "Reliability-aware resource management for computational grid/cluster environments." In The 6th IEEE/ACM International Workshop on Grid Computing, 2005. IEEE, 2005. http://dx.doi.org/10.1109/grid.2005.1542744.

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Aydin, G., M. S. Aktas, G. C. Fox, H. Gadgil, M. Pierce, and A. Saya. "SERVOGrid complexity computational environments (CCE) integrated performance analysis." In The 6th IEEE/ACM International Workshop on Grid Computing, 2005. IEEE, 2005. http://dx.doi.org/10.1109/grid.2005.1542750.

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Efkolidis, Nikolaos, Prodromos Minaoglou, Kyriaki Aidinli, and Panagiotis Kyratsis. "Computational design used for jewelry." In 10th International Symposium on Graphic Engineering and Design. University of Novi Sad, Faculty of technical sciences, Department of graphic engineering and design,, 2020. http://dx.doi.org/10.24867/grid-2020-p60.

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Nowadays more and more computer-aided technologies and computational techniques are applied to product design. Jewelry belongs to those products. Jewelry is considered as part of human civilization and adopted to human’s needs. In recent years, computational design is applied in order to overcome the limitations of traditional CAD systems, when reaching an increased level of complexity and geometrical controls. Computational design supports the evolution of creative design and develops models as a form of the computational exploration. Furthermore, additive manufacturing (AM) pieces of equipme
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Cecchi, Dr Marco, and Dr Jader Monari. "SETI@GRID: exploiting computational grids to boost SETI data analysis." In 57th International Astronautical Congress. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.iac-06-a4.1.09.

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Reports on the topic "Computational Grid"

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Rasskazova, V. V., I. D. Sofronov, A. N. Shaporenko, D. E. Burton, and D. S. Miller. Reconnection methods for an arbitrary polyhedral computational grid. Office of Scientific and Technical Information (OSTI), August 1996. http://dx.doi.org/10.2172/402431.

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Cai, Yongyang, Kenneth Judd, Greg Thain, and Stephen Wright. Solving Dynamic Programming Problems on a Computational Grid. Cambridge, MA: National Bureau of Economic Research, January 2013. http://dx.doi.org/10.3386/w18714.

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Sengupta, Subrata. International Conference on Numerical Grid Generation in Computational Fluid Dynamics. Fort Belvoir, VA: Defense Technical Information Center, April 1989. http://dx.doi.org/10.21236/ada211082.

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Abhyankar, Shrirang, Slaven Peles, and Draguna Vrabie. Power Grid Computational Challenges and Metrics for Hardware Accelerator Evaluation. Office of Scientific and Technical Information (OSTI), October 2019. http://dx.doi.org/10.2172/1989488.

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Saunders, Bonita V. The application of numerical grid generation to problems in computational fluid dynamics. Gaithersburg, MD: National Institute of Standards and Technology, 1997. http://dx.doi.org/10.6028/nist.ir.6073.

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Nell, Ryan, and Will Nichols. Mapping the Concentration Distribution of Contaminant Plumes to the Computational Grid of the Plateau to River Model (Ver. 8.3). Office of Scientific and Technical Information (OSTI), June 2020. http://dx.doi.org/10.2172/1635525.

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Venkata, Ramana G., Joseph Oliger, and Joel Ferziger. 3D Composite Grids for Flow Computations: the Grid Generation. Fort Belvoir, VA: Defense Technical Information Center, May 1991. http://dx.doi.org/10.21236/ada252105.

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Rene, Schubert. Computing the Meridional Overturning Circulation from NEMO Output. GEOMAR, November 2021. http://dx.doi.org/10.3289/sw_3_2021.

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With this script, the Meridional Overturning Circulation (MOC) can be computed from NEMO ocean-model output for the whole globe or the Atlantic (AMOC), Indic (IMOC) and Pacific (PMOC) subbasins. The MOC is computable in z- and sigma coordinates. Moreover, for nested configurations, it is possible to combine data from both host and nest grids. Finally, it is possible to take into account of that the ORCA model grid is curvilinear north of 20°N: it is possible to compute the northward velocity component from the velocity field in x- and y- directions and to sum up the meridional flux over latitu
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Beddhu, M., M. Y. Jiang, D. L. Whitfield, L. K. Taylor, and A. Arabshahi. Computational physical oceanography -- A comprehensive approach based on generalized CFD/grid techniques for planetary scale simulations of oceanic flows. Final report, September 1, 1995--August 31, 1996. Office of Scientific and Technical Information (OSTI), February 1997. http://dx.doi.org/10.2172/663439.

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Wissink, Andrew, Jude Dylan, Buvana Jayaraman, Beatrice Roget, Vinod Lakshminarayan, Jayanarayanan Sitaraman, Andrew Bauer, James Forsythe, Robert Trigg, and Nicholas Peters. New capabilities in CREATE™-AV Helios Version 11. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40883.

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CREATE™-AV Helios is a high-fidelity coupled CFD/CSD infrastructure developed by the U.S. Dept. of Defense for aeromechanics predictions of rotorcraft. This paper discusses new capabilities added to Helios version 11.0. A new fast-running reduced order aerodynamics option called ROAM has been added to enable faster-turnaround analysis. ROAM is Cartesian-based, employing an actuator line model for the rotor and an immersed boundary model for the fuselage. No near-body grid generation is required and simulations are significantly faster through a combination of larger timesteps and reduced cost
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