Relevant bibliographies by topics / Unstructured CFD Code Optimization

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  2. Dissertations / Theses
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  4. Conference papers

Academic literature on the topic 'Unstructured CFD Code Optimization'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "Unstructured CFD Code Optimization"

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Hückelheim, Jan, Paul Hovland, Michelle Mills Strout, and Jens-Dominik Müller. "Reverse-mode algorithmic differentiation of an OpenMP-parallel compressible flow solver." International Journal of High Performance Computing Applications 33, no. 1 (2017): 140–54. http://dx.doi.org/10.1177/1094342017712060.

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Reverse-mode algorithmic differentiation (AD) is an established method for obtaining adjoint derivatives of computer simulation applications. In computational fluid dynamics (CFD), adjoint derivatives of a cost function output such as drag or lift with respect to design parameters such as surface coordinates or geometry control points are a key ingredient for shape optimization, uncertainty quantification and flow control. The computational cost of CFD applications and their derivatives makes it essential to use high-performance computing hardware efficiently, including multi- and many-core ar
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Amirante, Riccardo, Luciano Andrea Catalano, and Paolo Tamburrano. "The importance of a full 3D fluid dynamic analysis to evaluate the flow forces in a hydraulic directional proportional valve." Engineering Computations 31, no. 5 (2014): 898–922. http://dx.doi.org/10.1108/ec-09-2012-0221.

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Purpose – The purpose of this paper is to present a full 3D Computational Fluid Dynamics (CFD) analysis of the flow field through hydraulic directional proportional valves, in order to accurately predict the flow forces acting on the spool and to overcome the limitations of two-dimensional (2D) and simplified three-dimensional (3D) models. Design/methodology/approach – A full 3D CAD representation is proposed as a general approach to reproduce the geometry of an existing valve in full detail; then, unstructured computational grids, which identify peculiar positions of the spool travel, are gen
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KITAMURA, Keiichi, Keiichiro FUJIMOTO, Eiji SHIMA, Kazuto KUZUU, and Z. J. WANG. "Validation of Arbitrary Unstructured CFD Code for Aerodynamic Analyses." TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES 53, no. 182 (2011): 311–19. http://dx.doi.org/10.2322/tjsass.53.311.

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Hills, N. "Achieving high parallel performance for an unstructured unsteady turbomachinery CFD code." Aeronautical Journal 111, no. 1117 (2007): 185–93. http://dx.doi.org/10.1017/s0001924000004449.

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This paper describes the work done to achieve high parallel performance for an unstructured, unsteady turbomachinery computational fluid dynamics (CFD) code. The aim of the work described here is to be able to scale problems to the thousands of processors that current and future machine architectures will provide. The CFD code is in design use in industry and is also used as a research tool at a number of universities. High parallel scalability has been achieved for a range of turbomachinery test cases, from steady-state hexahedral mesh cases to fully unsteady unstructured mesh cases. This has
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Sillén, Mattias. "Evaluation of Parallel Performance of an Unstructured CFD Code on PC-Clusters." Journal of Aerospace Computing, Information, and Communication 2, no. 1 (2005): 109–19. http://dx.doi.org/10.2514/1.13759.

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Jahangirian, A., and A. Shahrokhi. "Aerodynamic shape optimization using efficient evolutionary algorithms and unstructured CFD solver." Computers & Fluids 46, no. 1 (2011): 270–76. http://dx.doi.org/10.1016/j.compfluid.2011.02.010.

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Yamazaki, Wataru, Kisa Matsushima, and Kazuhiro Nakahashi. "Drag prediction, decomposition and visualization in unstructured mesh CFD solver of TAS-code." International Journal for Numerical Methods in Fluids 57, no. 4 (2008): 417–36. http://dx.doi.org/10.1002/fld.1643.

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López, D., C. Angulo, I. Fernández de Bustos, and V. García. "Framework for the Shape Optimization of Aerodynamic Profiles Using Genetic Algorithms." Mathematical Problems in Engineering 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/275091.

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This study developed a framework for the shape optimization of aerodynamics profiles using computational fluid dynamics (CFD) and genetic algorithms. A genetic algorithm code and a commercial CFD code were integrated to develop a CFD shape optimization tool. The results obtained demonstrated the effectiveness of the developed tool. The shape optimization of airfoils was studied using different strategies to demonstrate the capacity of this tool with different GA parameter combinations.
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Elham, Ali, and Michel J. L. van Tooren. "Discrete adjoint aerodynamic shape optimization using symbolic analysis with OpenFEMflow." Structural and Multidisciplinary Optimization 63, no. 5 (2021): 2531–51. http://dx.doi.org/10.1007/s00158-020-02799-7.

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AbstractThe combination of gradient-based optimization with the adjoint method for sensitivity analysis is a very powerful and popular approach for aerodynamic shape optimization. However, differentiating CFD codes is a time consuming and sometimes a challenging task. Although there are a few open-source adjoint CFD codes available, due to the complexity of the code, they might not be very suitable to be used for educational purposes. An adjoint CFD code is developed to support students for learning adjoint aerodynamic shape optimization as well as developing differentiated CFD codes. To achie
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Koten, Hasan, Mustafa Yilmaz, and M. Zafer Gul. "Compressed Biogas-Diesel Dual-Fuel Engine Optimization Study for Ultralow Emission." Advances in Mechanical Engineering 6 (January 1, 2014): 571063. http://dx.doi.org/10.1155/2014/571063.

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The aim of this study is to find out the optimum operating conditions in a diesel engine fueled with compressed biogas (CBG) and pilot diesel dual-fuel. One-dimensional (1D) and three-dimensional (3D) computational fluid dynamics (CFD) code and multiobjective optimization code were employed to investigate the influence of CBG-diesel dual-fuel combustion performance and exhaust emissions on a diesel engine. In this paper, 1D engine code and multiobjective optimization code were coupled and evaluated about 15000 cases to define the proper boundary conditions. In addition, selected single diesel
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Dissertations / Theses on the topic "Unstructured CFD Code Optimization"

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Gupta, Saurabh. "PERFORMANCE EVALUATION AND OPTIMIZATION OF THE UNSTRUCTURED CFD CODE UNCLE." UKnowledge, 2006. http://uknowledge.uky.edu/gradschool_theses/360.

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Numerous advancements made in the field of computational sciences have made CFD a viable solution to the modern day fluid dynamics problems. Progress in computer performance allows us to solve a complex flow field in practical CPU time. Commodity clusters are also gaining popularity as computational research platform for various CFD communities. This research focuses on evaluating and enhancing the performance of an in-house, unstructured, 3D CFD code on modern commodity clusters. The fundamental idea is to tune the codes to optimize the cache behavior of the node on commodity clusters to achi
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Koren, Dejan. "Computational Fluid Dynamics Unstructured Mesh Optimization for the Siemens 4th Generation DLE Burner." Thesis, KTH, Mekanik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-178034.

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Every computational fluid dynamics engineer deals with a never ending story – limitedcomputer resources. In computational fluid dynamics there is practically never enoughcomputer power. Limited computer resources lead to long calculation times which result inhigh costs and one of the main reasons is that large quantity of elements are needed in acomputational mesh in order to obtain accurate and reliable results.Although there exist established meshing approaches for the Siemens 4th generation DLEburner, mesh dependency has not been fully evaluated yet. The main goal of this work istherefore t
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Satterwhite, Christopher R. "Development of CPANEL, An Unstructured Panel Code, Using a Modified TLS Velocity Formulation." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1472.

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The use of panel codes in the aerospace industry dates back many decades. Recent advances in computer capability have allowed them to evolve, both in speed and complexity, to provide very quick solutions to complex flow fields. By only requiring surface discretization, panel codes offer a faster alternative to volume based methods, delivering a solution in minutes, as opposed to hours or days. Despite their utility, the availability of these codes is very limited due to either cost, or rights restrictions. This work incorporates modern software development practices, such as unit level testing
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Palki, Anand B. "CACHE OPTIMIZATION AND PERFORMANCE EVALUATION OF A STRUCTURED CFD CODE - GHOST." UKnowledge, 2006. http://uknowledge.uky.edu/gradschool_theses/363.

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This research focuses on evaluating and enhancing the performance of an in-house, structured, 2D CFD code - GHOST, on modern commodity clusters. The basic philosophy of this work is to optimize the cache performance of the code by splitting up the grid into smaller blocks and carrying out the required calculations on these smaller blocks. This in turn leads to enhanced code performance on commodity clusters. Accordingly, this work presents a discussion along with a detailed description of two techniques: external and internal blocking, for data access optimization. These techniques have been t
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Davis, Jake Daniel. "A Higher-Order Method Implemented in an Unstructured Panel Code to Model Linearized Supersonic Flows." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/1968.

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Since their conception in the 1960s, panel codes have remained a critical tool in the design and development of air vehicles. With continued advancement in computational technologies, today's codes are able to solve flow fields around arbitrary bodies more quickly and with higher fidelity than those that preceded them. Panel codes prove most useful during the conceptual design phase of an air vehicle, allowing engineers to iterate designs, and generate full solutions of the flow field around a vehicle in a matter of seconds to minutes instead of hours to days using traditional CFD methods. The
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Kristipati, Pavan K. "Performance optimization of a structured CFD code GHOST on commodity cluster architectures /." Lexington, Ky. : [University of Kentucky Libraries], 2008. http://hdl.handle.net/10225/976.

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Thesis (M.S.)--University of Kentucky, 2008.<br>Title from document title page (viewed on February 3, 2009). Document formatted into pages; contains: xi, 144 p. : ill. (some col.). Includes abstract and vita. Includes bibliographical references (p. 139-143).
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Xue, Weicheng. "CPU/GPU Code Acceleration on Heterogeneous Systems and Code Verification for CFD Applications." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/102073.

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Computational Fluid Dynamics (CFD) applications usually involve intensive computations, which can be accelerated through using open accelerators, especially GPUs due to their common use in the scientific computing community. In addition to code acceleration, it is important to ensure that the code and algorithm are implemented numerically correctly, which is called code verification. This dissertation focuses on accelerating research CFD codes on multi-CPUs/GPUs using MPI and OpenACC, as well as the code verification for turbulence model implementation using the method of manufactured solution
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Hradil, Jiří. "Adaptive parameterization for Aerodynamic Shape Optimization in Aeronautical Applications." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-234267.

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Cílem mé disertační práce je analyzovat a vyvinout parametrizační metodu pro 2D a 3D tvarové optimalizace v kontextu průmyslového aerodynamického návrhu letounu založeném na CFD simulacích. Aerodynamická tvarová optimalizace je efektivní nástroj, který si klade za cíl snížení nákladů na návrh letounů. Nástroj založený na automatickém hledání optimálního tvaru. Klíčovou částí úspěšného optimalizačního procesu je použití vhodné parametrizační metody, metody schopné garantovat možnost dosažení optimálního tvaru. Parametrizační metody obecně používané v oblasti aerodynamické tvarové optimalizace m
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Lorendeau, Benjamin. "Amélioration des performances via un parallélisme multi-niveaux en maillage sur un code de CFD en maillages non structurés." Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0412.

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L'évolution constante ainsi que la complexification qui s'en suit des architectures matérielles oblige les personnes développant des codes de simulations scientifiques à une mise à jour perpétuelle de leur logiciel et de leurs connaissances afin de maintenir une bonne exploitation des performances de ces plateformes de calcul. L'hétérogénéité récente de ces plateformes et la multiplication du nombres de coeurs par machine posent notamment une nouvelle problématique aux logiciels largement parallélisés via l'utilisation de la bibliothèque d'échange de message MPI, qui se voient perdre en perfor
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Ansoni, Jonas Laerte. "Metodologia para projeto de biorreatores industriais via otimização multiobjetivo com base em parâmetros de desempenho calculados por técnicas de CFD." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/18/18147/tde-03092015-141101/.

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A crescente demanda por biocombustíveis e a concorrência dos combustíveis fósseis torna necessária a otimização dos meios já existentes e o desenvolvimento de novas tecnologias para produção de biocombustíveis, principalmente em projetos envolvendo biorreatores e fotobiorreatores (FBR) industriais. A dinâmica dos fluidos computacional (CFD) vem sendo utilizada em vários trabalhos para o estudo de parâmetros fluidodinâmicos que podem influenciar no rendimento dos processos químicos envolvidos, como tensão de cisalhamento, perfis de velocidade, tempo de residência e a influência da geometria sob
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Book chapters on the topic "Unstructured CFD Code Optimization"

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Gropp, W. D., D. K. Kaushik, D. E. Keyes, and B. F. Smith. "Analyzing the Parallel Scalability of an Implicit Unstructured Mesh CFD Code." In High Performance Computing — HiPC 2000. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44467-x_36.

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Heinrich, Ralf. "Implementation and Usage of Structured Algorithms within an Unstructured CFD-Code." In New Results in Numerical and Experimental Fluid Mechanics V. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-33287-9_53.

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Ierotheou, C. S., C. R. Forsey, and U. Block. "Parallelisation of a novel 3D hybrid structured-unstructured grid CFD production code." In High-Performance Computing and Networking. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/bfb0046722.

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Lehmkuhl, O., C. D. Perez-Segarra, R. Borrell, M. Soria, and A. Oliva. "TermoFluids: A new Parallel unstructured CFD code for the simulation of turbulent industrial problems on low cost PC Cluster." In Lecture Notes in Computational Science and Engineering. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-92744-0_34.

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Williams, Dan, and Luc Bauwens. "Porting and Optimization of a Finite-Difference CFD Code on a Massively Parallel Architecture." In Massively Parallel Processing Applications and Development. Elsevier, 1994. http://dx.doi.org/10.1016/b978-0-444-81784-6.50088-9.

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Conference papers on the topic "Unstructured CFD Code Optimization"

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Andres, Esther, Markus Widhalm, and A. Caloto. "Achieving High Speed CFD Simulations: Optimization, Parallelization, and FPGA Acceleration for the Unstructured DLR TAU Code." In 47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition. American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-759.

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Becker, Dulceneia, Joa˜o Roberto Barbosa, and Jesuino Takachi Tomita. "An Object-Oriented Parallel Finite-Volume CFD Code." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-51187.

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This paper concerns the parallelization and optimization of an in-house three-dimensional unstructured finite-volume computational fluid dynamics (CFD) code. It aims to highlight the use of programming techniques in order to speedup computation and minimize memory usage. The motivation for developing an in-house solver is that commercial codes are general and sometimes simulations are not in agreement with actual phenomena. Moreover, in-house models can be developed and easily integrated to the solver. The original code was initially written in Fortran 77 though the most recent added subroutin
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Ahuja, V., A. Hosangadi, and Y. T. Lee. "Shape Optimization of Multi-Element Airfoils Using Evolutionary Algorithms and Hybrid Unstructured Framework." In ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ht-fed2004-56374.

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In this paper we present design optimization studies of multi-element airfoils utilizing evolutionary algorithms. The shape optimization process is carried out by utilization of high fidelity CFD based comprehensive framework. The framework comprises of a genetic algorithm based design optimization procedure coupled to the hybrid unstructured CRUNCH CFD® code and a grid generator. The genetic algorithm based optimization procedure is very robust, and searches the complex design landscape in an efficient and parallel manner. Furthermore, it can easily handle complexities in constraints and obje
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Gessel, Maxim, Michael Pfitzner, and Ruud Eggels. "Development of an Advanced Automated Knowledge Based Combustor Preliminary Design Process Suitable for Low NOx Combustion Systems Optimization." In ASME Turbo Expo 2015: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/gt2015-42328.

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Within the current combustor design process, the combustor performance and sizing is mainly estimated using Prelim Design Tools, which are based on empirical correlations. In order to investigate these preliminary designs in more detail, the application of CFD within the preliminary combustor design process has steadily increased. However, the generation of CFD solutions is a time consuming process, since it requires adapted CAD models and the generation of meshes before the actual CFD computations can be performed. Moreover, it has to be assured that the meshes are suitable for the computatio
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Mangani, Luca, Matteo Cerutti, Massimiliano Maritano, and Martin Spel. "Conjugate Heat Transfer Analysis of NASA C3X Film Cooled Vane With an Object-Oriented CFD Code." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-23458.

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This paper presents the developments done on a CFD unstructured solver, based on the OpenFOAM® CFD libraries, to perform conjugate heat transfer simulations in turbomachinery applications. The solver uses a SIMPLE-C All-Mach algorithm with a special treatment for the pressure corrector equation to deal with highly compressible flows. Moreover, the solver provides an exhaustive turbulence model library, specific for heat transfer calculations and an implicit treatment for fluid-to-fluid and solid-to-fluid boundaries using a generic grid interface (GGI) that allows a greater mesh generation flex
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Idahosa, Uyigue, and Vladimir Golubev. "On Noise Control in Turbomachinery Using an Automated Multidisciplinary Design Optimization System." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81789.

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In this work, we review our recent efforts to develop and apply an expanding database of aerodynamic and aeroacoustic prediction technologies for exploring new conceptual designs of propulsion system turbomachinery components optimized for high-efficiency performance with minimum noise radiation. In this context, we first discuss construction of our automated, distributed, industry-like multi-disciplinary design optimization (MDO) environment used in all the studies. The system was developed on the basis of commercially available optimization modules, and involves a user-friendly interface tha
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Hashimoto, Atsushi, Keiichi Murakami, Takashi Aoyama, et al. "Toward the Fastest Unstructured CFD Code 'FaSTAR'." In 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-1075.

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Veluri, Subrahmanya, Christopher Roy, and Edward Luke. "Comprehensive Code Verification for an Unstructured Finite Volume CFD Code." In 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition. American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-127.

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Wood, William. "Radiation Coupling with the FUN3D Unstructured-Grid CFD Code." In 43rd AIAA Thermophysics Conference. American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-2741.

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Hustad, C.-W., and S. Vilmin. "A Parallel Unstructured Turbomachinery Code." In ASME 1997 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/97-gt-418.

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Parallel computing is maturing to become a viable approach for increasing CFD mesh resolution and reducing turnaround times — many of todays commercial programs are already available for parallel architecture machines, and software tools exist to help with automated parallelization of irregular (unstructured) scientific problems. However, despite numerous impressive demonstrations of applications, it is still not exactly clear when and how these will really impact on the way we do turbomachinery CFD. The current paper does not even attempt to answer such a general question, but instead present
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