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Статті в журналах з теми "Architectured matrials"
Cinar, Gokcin, Elena Garcia, and Dimitri N. Mavris. "A framework for electrified propulsion architecture and operation analysis." Aircraft Engineering and Aerospace Technology 92, no. 5 (August 19, 2019): 675–84. http://dx.doi.org/10.1108/aeat-06-2019-0118.
Повний текст джерелаD’Alessandro, Martina. "Oswald Mathias Ungers at Belvederestrasse: Self-portrait in the Studio." Athens Journal of Architecture 8, no. 4 (October 5, 2022): 405–38. http://dx.doi.org/10.30958/aja.8-4-5.
Повний текст джерелаArai, Kohei. "Method for Training and White Boxing DL, BDT, Random Forest and Mind Maps Based on GNN." Applied Sciences 13, no. 8 (April 10, 2023): 4743. http://dx.doi.org/10.3390/app13084743.
Повний текст джерелаMutiah, Nurul, and Ferdy Febriyanto. "Perancangan Arsitektur Enterprise FMIPA UNTAN Menggunakan Kerangka Kerja TOGAF Berbasis SOA." JURNAL SISTEM INFORMASI BISNIS 12, no. 2 (December 20, 2022): 116–23. http://dx.doi.org/10.21456/vol12iss2pp116-123.
Повний текст джерелаOh, Kun-Ku, Xin-Jun Liu, Deuk Soo Kang, and Jongwon Kim. "Optimal design of a micro parallel positioning platform. Part I: Kinematic analysis." Robotica 22, no. 6 (November 2004): 599–609. http://dx.doi.org/10.1017/s0263574704000396.
Повний текст джерелаdel Río-Calleja, Beatriz, Joaquín Grau Enguix, and Alfonso García-Santos. "Architectural Systemic Approach: The Serpentine Gallery 2005, a Reciprocal Frame Case Study." Buildings 12, no. 7 (July 20, 2022): 1051. http://dx.doi.org/10.3390/buildings12071051.
Повний текст джерелаPrabhu, Gayathri R., Bibin Johnson, and J. Sheeba Rani. "Scalable Fixed Point QRD Core Using Dynamic Partial Reconfiguration." International Journal of Reconfigurable Computing 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/243835.
Повний текст джерелаGiannoula, Christina, Ivan Fernandez, Juan Gómez-Luna, Nectarios Koziris, Georgios Goumas, and Onur Mutlu. "Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures." ACM SIGMETRICS Performance Evaluation Review 50, no. 1 (June 20, 2022): 33–34. http://dx.doi.org/10.1145/3547353.3522661.
Повний текст джерелаBerry, Michael W. "Large-Scale Sparse Singular Value Computations." International Journal of Supercomputing Applications 6, no. 1 (April 1992): 13–49. http://dx.doi.org/10.1177/109434209200600103.
Повний текст джерелаA.V., Chistyakov. "On improving the efficiency of mathematical modeling of the problem of stability of construction." Artificial Intelligence 25, no. 3 (October 10, 2020): 27–36. http://dx.doi.org/10.15407/jai2020.03.027.
Повний текст джерелаДисертації з теми "Architectured matrials"
Mou, Guangjin. "Design of exotic architectured materials in linear elasticity." Electronic Thesis or Diss., Sorbonne université, 2023. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2023SORUS519.pdf.
Повний текст джерелаThe symmetry classes of a linear constitutive law define the different types of anisotropy that can be modelled by the associated constitutive tensors. However, the spaces of linear materials are very rich and a whole range of intermediate possibilities can exist beyond symmetry classes. Materials with non-standard anisotropic properties associated with such intermediate possibilities are called exotic materials. For instance, 2D R0-orthotropic material is a well-known case of exotic material.The primary objective of this research is to develop geometrical tools to characterise the linear material spaces in a very fine way, which allow these intermediate possibilities to be detected. The exotic set obtained is intrinsically characterised by a polynomial relation between elasticity tensor invariants. As a result, we prove that R0-orthotropy is the only type of 2D exotic elastic material. However, when generalised to 3D linear elasticity, this number is up to 163.The second objective of this study is to obtain a mesostructure exhibiting at macroscale the exotic behaviour described previously. A topological derivative-based optimisation algorithm is implemented in Python/FEniCS to realise the design of periodic metamaterials. The 2D R0-orthotropic material and several cases of 3D exotic materials are studied. The objective function of the optimisation problem is formulated in terms of the invariants of the target effective elasticity tensor
Romero, Mier y. Teran Andrés. "Real-time multi-target tracking : a study on color-texture covariance matrices and descriptor/operator switching." Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-01002065.
Повний текст джерелаLemaitre, Florian. "Tracking haute fréquence pour architectures SIMD : optimisation de la reconstruction LHCb." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS221.
Повний текст джерелаDuring this thesis, we studied linear algebra systems with small matrices (typically from 2x2 to 5x5) used within the LHCb experiment (and also in other domains like computer vision). Linear algebra libraries like Eigen, Magma or the MKL are not optimized for such small matrices. We used and combined many well-known transforms helping SIMD and some unusual transforms like the fast reciprocal square root computation. We wrote a code generator in order to simplify the use of such transforms and to have a portable code. We tested these optimizations and analyzed their impact on the speed of simple algorithm. Batch processing in SoA is crucial to process fast these small matrices. We also analyzed how the accuracy of the results depends on the precision of the data. We implemented these transforms in order to speed-up the Cholesky factorization of small matrices (up to 12x12). The processing speed is capped if the fast reciprocal square root computation is not used. We got a speed up between x10 and x33 using F32. Our version is then from x3 to x10 faster than MKL. Finally, we studied and sped up the Kalman filter in its general form. Our 4x4 F32 implementation is x90 faster. The Kalman filter used within LHCb has been sped up by x2.2 compared to the current SIMD version and by at least x2.3 compared to filters used other high energy physics experiments
Brown, Lucas A. "Matrices as a tool for space and time integration : a methodology for reducing human impact and increasing quality of life." Virtual Press, 2002. http://liblink.bsu.edu/uhtbin/catkey/1231343.
Повний текст джерелаDepartment of Architecture
Westerberg, Per. "Enterprise Architecture Analysis : - Astudy of the IT landscape atAstraZeneca." Thesis, KTH, Industriella informations- och styrsystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-169227.
Повний текст джерелаEDJLALI, GUY. "Contribution a la parallelisation de methodes iteratives hybrides pour matrices creuses sur architectures heterogenes." Paris 6, 1994. http://www.theses.fr/1994PA066360.
Повний текст джерелаDolz, Zaragozá Manuel Francisco. "Energy-aware matrix computacion on multirhreaded architectures." Doctoral thesis, Universitat Jaume I, 2014. http://hdl.handle.net/10803/669082.
Повний текст джерелаBaala, Hichem. "Vague récursive distribuée : application aux arbres de jeux et aux matrices." Paris 8, 1999. http://www.theses.fr/1999PA081594.
Повний текст джерелаRocha, Lindomar José. "Determinação de autovalores e autovetores de matrizes tridiagonais simétricas usando CUDA." reponame:Repositório Institucional da UnB, 2015. http://repositorio.unb.br/handle/10482/19625.
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Diversos ramos do conhecimento humano fazem uso de autovalores e autovetores, dentre eles têm-se Física, Engenharia, Economia, etc. A determinação desses autovalores e autovetores pode ser feita utilizando diversas rotinas computacionais, porém umas mais rápidas que outras nesse senário de ganho de velocidade aparece a opção de se usar a computação paralela de forma mais especifica a CUDA da Nvidia é uma opção que oferece um ganho de velocidade significativo, nesse modelo as rotinas são executadas na GPU onde se tem diversos núcleos de processamento. Dada a tamanha importância dos autovalores e autovetores o objetivo desse trabalho é determinar rotinas que possam efetuar o cálculos dos mesmos com matrizes tridiagonais simétricas reais de maneira mais rápida e segura, através de computação paralela com uso da CUDA. Objetivo esse alcançado através da combinação de alguns métodos numéricos para a obtenção dos autovalores e um alteração no método da iteração inversa utilizado na determinação dos autovetores. Temos feito uso de rotinas LAPACK para comparar com as nossas rotinas desenvolvidas em CUDA. De acordo com os resultados, a rotina desenvolvida em CUDA tem a vantagem clara de velocidade quer na precisão simples ou dupla, quando comparado com o estado da arte das rotinas de CPU a partir da biblioteca LAPACK. ______________________________________________________________________________________________ ABSTRACT
Severa branches of human knowledge make use of eigenvalues and eigenvectors, among them we have physics, engineering, economics, etc. The determination of these eigenvalues and eigenvectors can be using various computational routines, som faster than others in this speed increase scenario appears the option to use the parallel computing more specifically the Nvidia’s CUDA is an option that provides a gain of significant speed, this model the routines are performed on the GPU which has several processing cores. Given the great importance of the eigenvalues and eigenvectors the objective of this study is to determine routines that can perform the same calculations with real symmetric tridiagonal matrices more quickly and safely, through parallel computing with use of CUDA. Objective that achieved by some combination of numerical methods to obtain the eigenvalues and a change in the method of inverse iteration used to determine of the eigenvectors, which was used LAPACK routines to compare with routine developed in CUDA. According to the results of the routine developed in CUDA has marked superiority with single or double precision, in the question speed regarding the routines of LAPACK.
El-Ghajiji, Otman Abubaker. "Investigations into the suitability of parallel computing architectures for the solution of large sparse matrices using the preconditioned conjugate gradient method." Thesis, University of Bath, 1995. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299647.
Повний текст джерелаКниги з теми "Architectured matrials"
L, Patrick Merrell, and Langley Research Center, eds. Factoring symmetric indefinite matrices on high-performance architectures. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.
Знайти повний текст джерелаMassachusetts Institute of Technology. Space Systems Laboratory. and United States. National Aeronautics and Space Administration., eds. H2 fixed architecture control design for large scale systems. Cambridge, MA: Space Systems Laboratory, Dept. of Aeronautics and Astronautics, Massachusetts Institute of Technology, 1990.
Знайти повний текст джерелаE, Schutz Bob, and United States. National Aeronautics and Space Administration., eds. Geopotential error analysis from satellite gradiometer and global positioning system observables on parallel architecture. [Washington, DC: National Aeronautics and Space Administration, 1997.
Знайти повний текст джерелаMunerman, Viktor, Vadim Borisov, and Aleksandra Kononova. Mass data processing. Algebraic models and methods. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1906037.
Повний текст джерелаM, Neville Adam, ed. Structural analysis: A unified classical and matrix approach. 4th ed. London: E & FN Spon, 1997.
Знайти повний текст джерелаGhali, A. Structural analysis: A unified classical and matrix approach. 3rd ed. London: Spon, 1995.
Знайти повний текст джерелаW, Hou Gene, and United States. National Aeronautics and Space Administration., eds. Methodology for sensitivity analysis, approximate analysis, and design optimization in CFD for multidisciplinary applications: Progress report for the period April 15, 1992 to January 31, 1993. Norfolk, Va: Old Dominion University Research Foundation, 1993.
Знайти повний текст джерелаW, Hou Gene, and United States. National Aeronautics and Space Administration., eds. Methodology for sensitivity analysis, approximate analysis, and design optimization in CFD for multidisciplinary applications. Norfolk, Va: Old Dominion University Research Foundation, 1992.
Знайти повний текст джерелаW, Hou Gene, and United States. National Aeronautics and Space Administration., eds. Methodology for sensitivity analysis, approximate analysis, and design optimization in CFD for multidisciplinary applications. Norfolk, Va: Old Dominion University Research Foundation, 1994.
Знайти повний текст джерелаW, Hou Gene, and United States. National Aeronautics and Space Administration., eds. Methodology for sensitivity analysis, approximate analysis, and design optimization in CFD for multidisciplinary applications: Final report for the period ended December 31, 1995. Norfolk, Va: Dept. of Mechanical Engineering, College of Engineering & Technology, Old Dominion University, 1996.
Знайти повний текст джерелаЧастини книг з теми "Architectured matrials"
Testa, Francesco, Alberto Bianchi, and Marco Romagnoli. "Silicon Photonics Switch Matrices: Technologies and Architectures." In Optical Switching in Next Generation Data Centers, 221–59. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61052-8_12.
Повний текст джерелаRicci, Saverio, Piergiulio Mannocci, Matteo Farronato, Alessandro Milozzi, and Daniele Ielmini. "Development of Crosspoint Memory Arrays for Neuromorphic Computing." In Special Topics in Information Technology, 65–74. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51500-2_6.
Повний текст джерелаTian, Ning, Longjiang Guo, Chunyu Ai, Meirui Ren, and Jinbao Li. "GPU Acceleration of Finding Maximum Eigenvalue of Positive Matrices." In Algorithms and Architectures for Parallel Processing, 231–44. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11194-0_18.
Повний текст джерелаLisper, Björn, and Sanjay Rajopadhye. "Affine Permutations of Matrices on Mesh-Connected Arrays." In Parallel Algorithms and Architectures for DSP Applications, 129–58. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3996-4_6.
Повний текст джерелаFrommer, Andreas, and Valeria Simoncini. "Error Bounds for Lanczos Approximations of Rational Functions of Matrices." In Numerical Validation in Current Hardware Architectures, 203–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01591-5_13.
Повний текст джерелаTesta, Francesco, Alberto Bianchi, and Marco Romagnoli. "Correction to: Silicon Photonics Switch Matrices: Technologies and Architectures." In Optical Switching in Next Generation Data Centers, C1. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-61052-8_16.
Повний текст джерелаNoor, Fazal, and Syed Misbahuddin. "Using MPI on PC Cluster to Compute Eigenvalues of Hermitian Toeplitz Matrices." In Algorithms and Architectures for Parallel Processing, 313–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13119-6_28.
Повний текст джерелаSankar, G., R. Raja, J. M. Thomas, and D. Gleeson. "Advances in the Determination of the Architecture of Active Sites in Solid Catalysts." In Catalysis by Unique Metal Ion Structures in Solid Matrices, 95–114. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0782-5_7.
Повний текст джерелаRoch, J. L., and G. Villard. "Parallel computations with algebraic numbers a case study: Jordan normal form of matrices." In PARLE'94 Parallel Architectures and Languages Europe, 701–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58184-7_142.
Повний текст джерелаMatsumoto, Wataru, Manabu Hagiwara, Petros T. Boufounos, Kunihiko Fukushima, Toshisada Mariyama, and Zhao Xiongxin. "A Deep Neural Network Architecture Using Dimensionality Reduction with Sparse Matrices." In Neural Information Processing, 397–404. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46681-1_48.
Повний текст джерелаТези доповідей конференцій з теми "Architectured matrials"
Landuré, Jérôme, and Clément Gosselin. "Optimization of the Singularity Locus of a Novel Kinematically Redundant Spherical Parallel Manipulator." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67840.
Повний текст джерелаAthale, Ravindra A., and Charles W. Stirk. "Compact architectures for adaptive neural nets." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1988. http://dx.doi.org/10.1364/oam.1988.thz6.
Повний текст джерелаLanduré, Jérôme, and Clément Gosselin. "Kinematic and Workspace Modelling of a 6-PUS Parallel Mechanism." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86122.
Повний текст джерелаTate, Derrick, Timothy T. Maxwell, Bharatendra S. Sharma, and Kunal Patil. "Selection of Vehicle Architecture for EcoCAR Competition Using Axiomatic Design Principles." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-29103.
Повний текст джерелаSanaei, Roozbeh, Kevin N. Otto, Katja Hölttä-Otto, and Kristin L. Wood. "Incorporating Constraints in System Modularization by Interactive Clustering of Design Structure Matrices." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60510.
Повний текст джерелаMashaly, Maggie, Ahmed El Saied, Wassim Alexan, and Abeer S. Khalifa. "A Multiple Layer Security Scheme Utilizing Information Matrices." In 2019 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA). IEEE, 2019. http://dx.doi.org/10.23919/spa.2019.8936800.
Повний текст джерелаWang, Cong, and Tilman Wolf. "Virtual Network Mapping with Traffic Matrices." In 2011 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS). IEEE, 2011. http://dx.doi.org/10.1109/ancs.2011.44.
Повний текст джерелаLemaitre, Florian, and Lionel Lacassagne. "Batched Cholesky factorization for tiny matrices." In 2016 Conference on Design and Architectures for Signal and Image Processing (DASIP). IEEE, 2016. http://dx.doi.org/10.1109/dasip.2016.7853809.
Повний текст джерелаSarukhanian, Hakob, Sos S. Agaian, Jaakko T. Astola, and Karen O. Egiazarian. "Binary matrices, decomposition and multiply-add architectures." In Electronic Imaging 2003, edited by Edward R. Dougherty, Jaakko T. Astola, and Karen O. Egiazarian. SPIE, 2003. http://dx.doi.org/10.1117/12.473134.
Повний текст джерелаBallard, Grey, Aydin Buluc, James Demmel, Laura Grigori, Benjamin Lipshitz, Oded Schwartz, and Sivan Toledo. "Communication optimal parallel multiplication of sparse random matrices." In SPAA '13: 25th ACM Symposium on Parallelism in Algorithms and Architectures. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2486159.2486196.
Повний текст джерела