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Статті в журналах з теми "GPU pipeline"
Magro, A., K. Zarb Adami, and J. Hickish. "GPU-Powered Coherent Beamforming." Journal of Astronomical Instrumentation 04, no. 01n02 (June 2015): 1550002. http://dx.doi.org/10.1142/s2251171715500026.
Повний текст джерелаMovania, Muhammad Mobeen, and Lin Feng. "A Novel GPU-Based Deformation Pipeline." ISRN Computer Graphics 2012 (December 15, 2012): 1–8. http://dx.doi.org/10.5402/2012/936315.
Повний текст джерелаVasyliv, О. B., О. S. Titlov, and Т. А. Sagala. "Modeling of the modes of natural gas transportation by main gas pipelines in the conditions of underloading." Oil and Gas Power Engineering, no. 2(32) (December 27, 2019): 35–42. http://dx.doi.org/10.31471/1993-9868-2019-2(32)-35-42.
Повний текст джерелаKingyens, Jeffrey, and J. Gregory Steffan. "The Potential for a GPU-Like Overlay Architecture for FPGAs." International Journal of Reconfigurable Computing 2011 (2011): 1–15. http://dx.doi.org/10.1155/2011/514581.
Повний текст джерелаWang, Ke Nian, and Hui Min Du. "The FPGA Design and Implementation of Pipeline Image Processing in the GPU System." Applied Mechanics and Materials 380-384 (August 2013): 3807–10. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3807.
Повний текст джерелаXiang, Yue, Peng Wang, Bo Yu, and Dongliang Sun. "GPU-accelerated hydraulic simulations of large-scale natural gas pipeline networks based on a two-level parallel process." Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 75 (2020): 86. http://dx.doi.org/10.2516/ogst/2020076.
Повний текст джерелаAkyüz, Ahmet Oğuz. "High dynamic range imaging pipeline on the GPU." Journal of Real-Time Image Processing 10, no. 2 (September 12, 2012): 273–87. http://dx.doi.org/10.1007/s11554-012-0270-9.
Повний текст джерелаCao, Wei, Zheng Hua Wang, and Chuan Fu Xu. "A Survey of General Purpose Computation of GPU for Computational Fluid Dynamics." Advanced Materials Research 753-755 (August 2013): 2731–35. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.2731.
Повний текст джерелаAbdellah, Marwan, Ayman Eldeib, and Amr Sharawi. "High Performance GPU-Based Fourier Volume Rendering." International Journal of Biomedical Imaging 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/590727.
Повний текст джерелаCheng, Sining, Huiyan Qu, and Xianjun Chen. "Ray tracing collision detection based on GPU pipeline reorganization." Journal of Physics: Conference Series 1732 (January 2021): 012057. http://dx.doi.org/10.1088/1742-6596/1732/1/012057.
Повний текст джерелаДисертації з теми "GPU pipeline"
Bexelius, Tobias. "HaGPipe : Programming the graphics pipeline in Haskell." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-6234.
Повний текст джерела
In this paper I present the domain specific language HaGPipe for graphics programming in Haskell. HaGPipe has a clean, purely functional and strongly typed interface and targets the whole graphics pipeline including the programmable shaders of the GPU. It can be extended for use with various backends and this paper provides two different ones. The first one generates vertex and fragment shaders in Cg for the GPU, and the second one generates vertex shader code for the SPUs on PlayStation 3. I will demonstrate HaGPipe's many capabilities of producing optimized code, including an extensible rewrite rule framework, automatic packing of vertex data, common sub expression elimination and both automatic basic block level vectorization and loop vectorization through the use of structures of arrays.
PESSOA, Saulo Andrade. "Um pipeline para renderização fotorrealística em aplicações de realidade aumentada." Universidade Federal de Pernambuco, 2011. https://repositorio.ufpe.br/handle/123456789/2337.
Повний текст джерелаConselho Nacional de Desenvolvimento Científico e Tecnológico
A habilidade de interativamente mesclar o mundo real com o virtual abriu um leque de novas possibilidades na área de sistemas multimídia. O campo de pesquisa que trata desse problema é chamado de Realidade Aumentada. Em Realidade Aumentada, os elementos virtuais podem aparecer destacados dos objetos reais ou fotorrealisticamente inseridos no mundo real. Dentro desse segundo tipo de aplicação, pode-se citar: ferramentas de auxílio ao projeto de interiores, jogos eletrônicos aumentados e aplicações para visualização de sítios históricos. Na literatura pesquisada existe uma lacuna para ferramentas que auxiliem a criação desse tipo de aplicação. Na tentativa de contornar isso, esta dissertação propõe um pipeline para renderização fotorrealística em aplicações de Realidade Aumentada que leva em consideração aspectos como: a iluminação, as propriedades de refletância dos materiais, o sombreamento, a composição do mundo real com o mundo virtual e os efeitos de câmera. Esse pipeline foi implementado como uma API, permitindo a realização de dois estudos de caso: uma ferramenta de edição de materiais e uma ferramenta de auxílio ao projeto de interiores. Para obter taxas interativas de renderização, os gargalos do pipeline foram implementados em GPU. Os resultados obtidos mostram que o pipeline proposto oferece ganhos consideráveis de realismo com relação à visualização dos objetos virtuais
Cui, Xuewen. "Directive-Based Data Partitioning and Pipelining and Auto-Tuning for High-Performance GPU Computing." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/101497.
Повний текст джерелаDoctor of Philosophy
Over the past decade, parallel accelerators have become increasingly prominent in this emerging era of "big data, big compute, and artificial intelligence.'' In more recent supercomputers and datacenter clusters, we find multi-core central processing units (CPUs), many-core graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and co-processors (e.g., Intel Xeon Phi) being used to accelerate many kinds of computation tasks. While many new programming models have been proposed to support these accelerators, scientists or developers without domain knowledge usually find existing programming models not efficient enough to port their code to accelerators. Due to the limited accelerator on-chip memory size, the data array size is often too large to fit in the on-chip memory, especially while dealing with deep learning tasks. The data need to be partitioned and managed properly, which requires more hand-tuning effort. Moreover, performance tuning is difficult for developers to achieve high performance for specific applications due to a lack of domain knowledge. To handle these problems, this dissertation aims to propose a general approach to provide better programmability, performance, and data management for the accelerators. Accelerator users often prefer to keep their existing verified C, C++, or Fortran code rather than grapple with the unfamiliar code. Since 2013, OpenMP has provided a straightforward way to adapt existing programs to accelerated systems. We propose multiple associated clauses to help developers easily partition and pipeline the accelerated code. Specifically, the proposed extension can overlap kernel computation and data transfer between host and device efficiently. The extension supports memory over-subscription, meaning the memory size required by the tasks could be larger than the GPU size. The internal scheduler guarantees that the data is swapped out correctly and efficiently. Machine learning methods are also leveraged to help with auto-tuning accelerator performance.
Doran, Andra. "Occlusion culling et pipeline hybride CPU/GPU pour le rendu temps réel de scènes complexes pour la réalité virtuelle mobile." Toulouse 3, 2013. http://thesesups.ups-tlse.fr/2131/.
Повний текст джерелаNowadays, 3D real-time rendering has become an essential tool for any modeling work and maintenance of industrial equipment, for the development of serious or fun games, and in general for any visualization application in the domains of industry, medical care, architecture,. . . Currently, this task is generally assigned to graphics hardware, due to its specific design and its dedicated rasterization and texturing units. However, in the context of industrial applications, a wide range of computers is used, heterogeneous in terms of computation power. These architectures are not always equipped with high-end hardware, which may limit their use for this type of applications. Current research is strongly oriented towards modern high performance graphics hardware-based solutions. On the contrary, we do not assume the existence of such hardware on all architectures. We propose therefore to adapt our pipeline according to the computing architecture in order to obtain an efficient rendering. Our pipeline adapts to the computer's capabilities, taking into account each computing unit, CPU and GPU. The goal is to provide a well-balanced load on the two computing units, thus ensuring a real-time rendering of complex scenes, even on low-end computers. This pipeline can be easily integrated into any conventional rendering system and does not require any precomputation step
Crassin, Cyril. "GigaVoxels : un pipeline de rendu basé Voxel pour l'exploration efficace de scènes larges et détaillées." Phd thesis, Université de Grenoble, 2011. http://tel.archives-ouvertes.fr/tel-00650161.
Повний текст джерелаSchertzer, Jérémie. "Exploiting modern GPUs architecture for real-time rendering of massive line sets." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAT037.
Повний текст джерелаIn this thesis, we consider massive line sets generated from brain tractograms. They describe neural connections that are represented with millions of poly-line fibers, summing up to billions of segments. Thanks to the two-staged mesh shader pipeline, we build a tractogram renderer surpassing state-of-the-art performances by two orders of magnitude.Our performances come from fiblets: a compressed representation of segment blocks. By combining temporal coherence and morphological dilation on the z-buffer, we define a fast occlusion culling test for fiblets. Thanks to our heavily-optimized parallel decompression algorithm, surviving fiblets are swiftly synthesized to poly-lines. We also showcase how our fiblet pipeline speeds-up advanced tractogram interaction features.For the general case of line rendering, we propose morphological marching: a screen-space technique rendering custom-width tubes from the thin rasterized lines of the G-buffer. By approximating a tube as the union of spheres densely distributed along its axes, each sphere shading each pixel is retrieved relying on a multi-pass neighborhood propagation filter. Accelerated by the compute pipeline, we reach real-time performances for the rendering of depth-dependant wide lines.To conclude our work, we implement a virtual reality prototype combining fiblets and morphological marching. It makes possible for the first time the immersive visualization of huge tractograms with fast shading of thick fibers, thus paving the way for diverse perspectives
He, Yiyang. "A Physically Based Pipeline for Real-Time Simulation and Rendering of Realistic Fire and Smoke." Thesis, Stockholms universitet, Numerisk analys och datalogi (NADA), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-160401.
Повний текст джерелаAngalev, Mikhail. "Energy saving at gas compressor stations through the use of parametric diagnostics." Thesis, KTH, Energiteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-101061.
Повний текст джерелаSand, Victor. "Dynamic Visualization of Space Weather Simulation Data." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112092.
Повний текст джерелаTjia, Andrew Hung Yao. "Adaptive pipelined work processing for GPS trajectories." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/43288.
Повний текст джерелаКниги з теми "GPU pipeline"
Board, Canada National Energy. Reasons for decision in the matter of TransCanada Keystone Pipeline GP Ltd: Application dated 23 November 2007 pursuant to sections 58 and 21 of the National Energy Board Act for the Keystone Cushing Expansion Project. Calgary, AB: The Board, 2008.
Знайти повний текст джерелаBoard, Canada National Energy. Reasons for decision in the matter of TransCanada Keystone Pipeline GP Ltd: Application dated 23 November 2007 pursuant to sections 58 and 21 of the National Energy Board Act for the Keystone Cushing Expansion Project. Calgary, AB: The Board, 2008.
Знайти повний текст джерелаState, United States Department of. Draft supplemental environmental impact statement for the Keystone XL Project: Applicant for Presidential permit: TransCanada Keystone Pipline LP. Washington, DC: United States Dept. of State, Bureau of Oceans and International Environmental and Scientific Affairs, 2013.
Знайти повний текст джерелаWybrew-Bond, Ian. Life after the GFU: Norwegian gas under new rules. Cambridge, Mass: CERA, 2002.
Знайти повний текст джерелаPower, United States Congress House Committee on Commerce Subcommittee on Energy and. H.R. 3, the Northern Route Approval Act: Hearing before the Subcommittee on Energy and Power of the Committee on Energy and Commerce, House of Representatives, One Hundred Thirteenth Congress, first session, April 10, 2013. Washington: U.S. Government Printing Office, 2013.
Знайти повний текст джерелаJing, Liang. Ren min bi guo ji hua "da dong mai": Guo ji huo bi zhi fu ji chu she shi gou jian = Pipeline of RMB internationalization : establishment of payment infrastructures for global currency. Beijing Shi: Jing ji guan li chu ban she, 2017.
Знайти повний текст джерелаЧастини книг з теми "GPU pipeline"
Cozzi, Patrick, and Daniel Bagnell. "A WebGL Globe Rendering Pipeline." In GPU Pro 360, 213–22. Boca Raton : Taylor & Francis, CRC Press, [2018]: A K Peters/CRC Press, 2018. http://dx.doi.org/10.1201/b22483-13.
Повний текст джерелаRiccio, Christophe, and Sean Lilley. "Introducing the Programmable Vertex Pulling Rendering Pipeline." In GPU Pro 360, 195–211. Boca Raton : Taylor & Francis, CRC Press, [2018]: A K Peters/CRC Press, 2018. http://dx.doi.org/10.1201/b22483-12.
Повний текст джерелаZhang, Haitang, Junchao Ma, Zixia Qiu, Junmei Yao, Mustafa A. Al Sibahee, Zaid Ameen Abduljabbar, and Vincent Omollo Nyangaresi. "Multi-GPU Parallel Pipeline Rendering with Splitting Frame." In Advances in Computer Graphics, 223–35. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-50072-5_18.
Повний текст джерелаSabino, Thales Luis, Paulo Andrade, Esteban Walter Gonzales Clua, Anselmo Montenegro, and Paulo Pagliosa. "A Hybrid GPU Rasterized and Ray Traced Rendering Pipeline for Real Time Rendering of Per Pixel Effects." In Lecture Notes in Computer Science, 292–305. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33542-6_25.
Повний текст джерелаHarada, Takahiro. "Two-Level Constraint Solver and Pipelined Local Batching for Rigid Body Simulation on GPUs." In GPU Pro 360, 223–40. First edition. j Boca Raton, FL : CRC Press/Taylor & Francis Group, 2018. j Includes bibliographical references and index.: A K Peters/CRC Press, 2018. http://dx.doi.org/10.1201/9781351052108-13.
Повний текст джерелаChauhan, Munesh Singh, Ashish Negi, and Prashant Singh Rana. "Fractal Image Compression Using Dynamically Pipelined GPU Clusters." In Advances in Intelligent Systems and Computing, 575–81. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1602-5_61.
Повний текст джерелаChen, Yi, Zhi Qiao, Spencer Davis, Hai Jiang, and Kuan-Ching Li. "Pipelined Multi-GPU MapReduce for Big-Data Processing." In Computer and Information Science, 231–46. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00804-2_17.
Повний текст джерелаThambawita, Vajira, Steven A. Hicks, Ewan Jaouen, Pål Halvorsen, and Michael A. Riegler. "Chapter 4 Smittestopp analytics: Analysis of position data." In Simula SpringerBriefs on Computing, 63–79. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05466-2_4.
Повний текст джерелаRoch, Peter, Bijan Shahbaz Nejad, Marcus Handte, and Pedro José Marrón. "Systematic Optimization of Image Processing Pipelines Using GPUs." In Advances in Visual Computing, 633–46. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64559-5_50.
Повний текст джерелаDeng, Junyong, Libo Chang, Guangxin Huang, Lingzhi Xiao, Tao Li, Lin Jiang, Jungang Han, and Huimin Du. "The Design and Prototype Implementation of a Pipelined Heterogeneous Multi-core GPU." In Communications in Computer and Information Science, 66–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41591-3_6.
Повний текст джерелаТези доповідей конференцій з теми "GPU pipeline"
Pulikesi Mannan, Sai Krishanth, Ewan Douglas, Justin Hom, Ramya M. Anche, John Debes, Isabel Rebollido, and Bin B. Ren. "NMF-based GPU accelerated coronagraphy pipeline." In Techniques and Instrumentation for Detection of Exoplanets XI, edited by Garreth J. Ruane. SPIE, 2023. http://dx.doi.org/10.1117/12.2677739.
Повний текст джерелаHestness, Joel, Stephen W. Keckler, and David A. Wood. "GPU Computing Pipeline Inefficiencies and Optimization Opportunities in Heterogeneous CPU-GPU Processors." In 2015 IEEE International Symposium on Workload Characterization (IISWC). IEEE, 2015. http://dx.doi.org/10.1109/iiswc.2015.15.
Повний текст джерела"GPU Ray-traced Collision Detection - Fine Pipeline Reorganization." In International Conference on Computer Graphics Theory and Applications. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005299603170324.
Повний текст джерелаMiyazaki, Makoto, and Susumu Matsumae. "A Pipeline Implementation for Dynamic Programming on GPU." In 2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW). IEEE, 2018. http://dx.doi.org/10.1109/candarw.2018.00063.
Повний текст джерелаHan, Haowei, Meng Sun, Siyu Zhang, Dongying Liu, and Tiantian Liu. "GPU Cloth Simulation Pipeline in Lightchaser Animation Studio." In SA '21: SIGGRAPH Asia 2021. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3478512.3488616.
Повний текст джерелаSoudarev, A., E. Vinogradov, Yu Zakharov, and A. Leznov. "Environmental Update of Frame-3 Gas-Pumping Units." In 2000 3rd International Pipeline Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/ipc2000-268.
Повний текст джерелаTatarchuk, Natalya, Jeremy Shopf, and Christopher DeCoro. "Real-Time Isosurface Extraction Using the GPU Programmable Geometry Pipeline." In ACM SIGGRAPH 2007 courses. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1281500.1361219.
Повний текст джерелаXiao, Yunfan, Min Huang, Qinghai Miao, Jun Xiao, and Ying Wang. "Architecting the Discontinuous Deformation Analysis Method Pipeline on the GPU." In 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2017. http://dx.doi.org/10.1109/ipdpsw.2017.93.
Повний текст джерелаDai, Hongwen, Zhen Lin, Chao Li, Chen Zhao, Fei Wang, Nanning Zheng, and Huiyang Zhou. "Accelerate GPU Concurrent Kernel Execution by Mitigating Memory Pipeline Stalls." In 2018 IEEE International Symposium on High Performance Computer Architecture (HPCA). IEEE, 2018. http://dx.doi.org/10.1109/hpca.2018.00027.
Повний текст джерелаLemeire, Jan, Jan G. Cornelis, and Laurent Segers. "Microbenchmarks for GPU Characteristics: The Occupancy Roofline and the Pipeline Model." In 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP). IEEE, 2016. http://dx.doi.org/10.1109/pdp.2016.120.
Повний текст джерелаЗвіти організацій з теми "GPU pipeline"
Wilcox. PR-015-09209-R01 Test Facility for Pump Performance Characterization in Viscous Fluids - Phase I. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 2010. http://dx.doi.org/10.55274/r0010713.
Повний текст джерелаStewart. L52283 Ground Positioning Satellite in Conjunctions with Current One-Call System - Virginia. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), November 2007. http://dx.doi.org/10.55274/r0010184.
Повний текст джерелаGeorge, Darin. L52315 Testing of Environmentally-Friendly Gas Sampling Methods. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), February 2009. http://dx.doi.org/10.55274/r0010176.
Повний текст джерелаCanto, Patricia, ed. Heterogeneous Social Capitals: A New Window of Opportunity for Local Economies. Universidad de Deusto, 2010. http://dx.doi.org/10.18543/gwvw3770.
Повний текст джерелаGeorge. PR-015-10600-R01 Proposed Sampling Methods for Supercritical Natural Gas Streams. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), July 2010. http://dx.doi.org/10.55274/r0010981.
Повний текст джерела