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Статті в журналах з теми "GPU Accelerated"
Lu, Q., and J. Amundson. "Synergia CUDA: GPU-accelerated accelerator modeling package." Journal of Physics: Conference Series 513, no. 5 (June 11, 2014): 052021. http://dx.doi.org/10.1088/1742-6596/513/5/052021.
Повний текст джерелаJiang, Hao, Chen-Wei Xu, Zhi-Yong Liu, and Li-Yan Yu. "GPU-Accelerated Apriori Algorithm." ITM Web of Conferences 12 (2017): 03046. http://dx.doi.org/10.1051/itmconf/20171203046.
Повний текст джерелаEndo, Yutaka, Tomoyoshi Shimobaba, Takashi Kakue, and Tomoyoshi Ito. "GPU-accelerated compressive holography." Optics Express 24, no. 8 (April 11, 2016): 8437. http://dx.doi.org/10.1364/oe.24.008437.
Повний текст джерелаFerroni, Francesco, Edmund Tarleton, and Steven Fitzgerald. "GPU accelerated dislocation dynamics." Journal of Computational Physics 272 (September 2014): 619–28. http://dx.doi.org/10.1016/j.jcp.2014.04.052.
Повний текст джерелаKilgard, Mark J., and Jeff Bolz. "GPU-accelerated path rendering." ACM Transactions on Graphics 31, no. 6 (November 2012): 1–10. http://dx.doi.org/10.1145/2366145.2366191.
Повний текст джерелаZhu, Rui, Chang Nian Chen, and Lei Hua Qin. "An Transfer Latency Optimized Solution in GPU-Accelerated De-Duplication." Applied Mechanics and Materials 336-338 (July 2013): 2059–62. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.2059.
Повний текст джерелаWang, Qiao, and Chen Meng. "PhotoNs-GPU: A GPU accelerated cosmological simulation code." Research in Astronomy and Astrophysics 21, no. 11 (December 1, 2021): 281. http://dx.doi.org/10.1088/1674-4527/21/11/281.
Повний текст джерелаFan, Mengran, Jian Wang, Huaipan Jiang, Yilin Feng, Mehrdad Mahdavi, Kamesh Madduri, Mahmut T. Kandemir, and Nikolay V. Dokholyan. "GPU-Accelerated Flexible Molecular Docking." Journal of Physical Chemistry B 125, no. 4 (January 26, 2021): 1049–60. http://dx.doi.org/10.1021/acs.jpcb.0c09051.
Повний текст джерелаWang, Liang, Yi Sheng Zhang, Bin Zhu, Chi Xu, Xiao Wei Tian, Chao Wang, Jian Hua Mo, and Jian Li. "GPU Accelerated Parallel Cholesky Factorization." Applied Mechanics and Materials 148-149 (December 2011): 1370–73. http://dx.doi.org/10.4028/www.scientific.net/amm.148-149.1370.
Повний текст джерелаSloup, Petr. "GPU-accelerated raster map reprojection." Geoinformatics FCE CTU 15, no. 1 (July 22, 2016): 61–68. http://dx.doi.org/10.14311/gi.15.1.5.
Повний текст джерелаДисертації з теми "GPU Accelerated"
Lionetti, Fred. "GPU accelerated cardiac electrophysiology." Diss., [La Jolla] : University of California, San Diego, 2010. http://wwwlib.umi.com/cr/ucsd/fullcit?p1474756.
Повний текст джерелаTitle from first page of PDF file (viewed April 14, 2010). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. 85-89).
Mäkelä, J. (Jussi). "GPU accelerated face detection." Master's thesis, University of Oulu, 2013. http://urn.fi/URN:NBN:fi:oulu-201303181103.
Повний текст джерелаGrafiikkaprosessorit kykenevät massiiviseen rinnakkaislaskentaan ja niiden käyttö yleiseen laskentaan on kasvava kiinnostuksen aihe. Eräs alue missä kiihdytyksen käytöstä on kiinnostuttu on laskennallisesti raskaat konenäköalgoritmit kuten kasvojen ilmaisu ja tunnistus. Kasvojen ilmaisua käytetään useissa sovelluksissa, kuten kameroiden automaattitarkennuksessa, kasvojen ja tunteiden tunnistuksessa sekä kulun valvonnassa. Tässä työssä kasvojen ilmaisualgoritmia kiihdytettiin grafiikkasuorittimella käyttäen OpenCL-rajapintaa. Työn tavoite oli parantunut suorituskyky kuitenkin niin että implementaatiot pysyivät toiminnallisesti samanlaisina. OpenCL-versio perustui optimoituun verrokki-implementaatioon. Algoritmin eri vaiheiden kiihdytyksen mahdollisuuksia ja haasteita on tutkittu. Kiihdytetty- ja verrokki-implementaatio kuvaillaan ja niiden välistä suorituskykyeroa vertaillaan. Suorituskykyä arvioitiin ajoaikojen perusteella. Testeissä käytettiin kolmea kuvasarjaa joissa jokaisessa oli neljä eri kokoista kuvaa sekä kolmea lisäkuvaa jotka kuvastivat erikoistapauksia. Testit ajettiin kahdella erilailla varustellulla tietokoneella. Tuloksista voidaan nähdä että kasvojen ilmaisu soveltuu hyvin GPU kiihdytykseen, sillä algoritmin pystyy rinnakkaistamaan ja siinä pystyy käyttämään tehokasta tekstuurinkäsittelylaitteistoa. OpenCL-ympäristön alustaminen aiheuttaa viivettä joka vähentää jonkin verran suorituskykyetua. Testeissä todettiin kiihdytetyn implementaation antavan saman suuruisen tai jopa pienemmän suorituskyvyn kuin verrokki-implementaatio sellaisissa tapauksissa, joissa laskentaa oli vähän johtuen joko pienestä tai helposti käsiteltävästä kuvasta. Toisaalta kiihdytetyn implementaation suorituskyky oli hyvä verrattuna verrokki-implementaatioon kun käytettiin suuria ja monimutkaisia kuvia. Tulevaisuudessa OpenCL-ympäristön alustamisen aiheuttamat viivettä tulisi saada vähennettyä. Tämä työ on kiinnostava myös tulevaisuudessa kun OpenCL-kiihdytys tulee mahdolliseksi matkapuhelimissa
Graves, Alex. "GPU-Accelerated Feature Tracking." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1462372516.
Повний текст джерелаBaravdish, Gabriel. "GPU Accelerated Light Field Compression." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150558.
Повний текст джерелаKottravel, Sathish. "GPU accelerated Nonlinear Soft Tissue Deformation." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-76895.
Повний текст джерелаEdespong, Erik. "GPU Accelerated Surface Reconstruction from Particles." Thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-93543.
Повний текст джерелаBASTOS, THIAGO DE ALMEIDA. "GPU-ACCELERATED ADAPTIVELY SAMPLED DISTANCE FIELDS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2008. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=12160@1.
Повний текст джерелаShape representation is a fundamental problem in Computer Graphics. Among known representations for three-dimensional objects, adaptively sampled distance fields (ADFs) are noted for their versatility. ADFs combine the concepts of geometry with volume data, allow objects to be represented with arbitrary precision, and consolidate several operations - such as visualization, level-of-detail modeling, collision detection, proximity tests, morphing and boolean operations | into a single representation. This work proposes methods to accelerate the reconstruction of static ADFs, to improve the quality of reconstructed fields, and to visualize ADF isosurfaces, making use of the massive computational power found in modern graphics hardware (GPUs). In order to effciently represent ADFs on graphics cards, a hierarchical structure based on perfect spatial hashing is proposed. Rendering of ADFs is done completely on GPUs, using a ray casting technique based on sphere tracing. Means to overcome the C0 and C1 discontinuities inherent to ADFs are suggested in order to attain smoothly shaded iso-surfaces. Finally, a new reconstruction method for ADFs, which can better represent curved surfaces, is proposed. Results are presented through simple interactive visualization applications, with ADFs generated from both triangle meshes and primitive solids.
Zhao, Kaiyong. "GPU accelerated sequence alignment /Zhao Kaiyong." HKBU Institutional Repository, 2016. https://repository.hkbu.edu.hk/etd_oa/378.
Повний текст джерелаSchmitt, Ryan Daniel. "GPU-Accelerated Point-Based Color Bleeding." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/810.
Повний текст джерелаPettersson, Niklas. "GPU-Accelerated Real-Time Surveillance De-Weathering." Thesis, Linköpings universitet, Datorseende, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97401.
Повний текст джерелаКниги з теми "GPU Accelerated"
Annick, Le Goyat, ed. Skeleton Key: L'île de tous les dangers. [Paris]: Hachette Jeunesse, 2005.
Знайти повний текст джерелаSkeleton Key. New York: Philomel Books, 2002.
Знайти повний текст джерелаSkeleton key: An Alex Rider adventure. United States]: Paw Prints, 2008.
Знайти повний текст джерелаHorowitz, Anthony. Skeleton Key. London: Walker Books Ltd, 2009.
Знайти повний текст джерелаSkeleton key. London: Walker Books, 2014.
Знайти повний текст джерелаSkeleton Key: An Alex Rider adventure. New York: Speak, 2006.
Знайти повний текст джерелаHorowitz, Anthony. Skeleton Key. Paris: Hachette Jeunesse, 2012.
Знайти повний текст джерелаAissa, Mohamed Hassanine. GPU-accelerated CFD Simulations for Turbomachinery Design Optimization. von Karman Institute for Fluid Dynamics, 2018. http://dx.doi.org/10.35294/phdt201801.
Повний текст джерелаVaidya, Bhaumik. Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective techniques for processing complex image data in real time using GPUs. Packt Publishing - ebooks Account, 2018.
Знайти повний текст джерелаHorowitz, Anthony. Skeleton Key (Alex Rider). Puffin, 2006.
Знайти повний текст джерелаЧастини книг з теми "GPU Accelerated"
Liu, Yang, Wayne Huang, John Johnson, and Sheila Vaidya. "GPU Accelerated Smith-Waterman." In Computational Science – ICCS 2006, 188–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11758549_29.
Повний текст джерелаKrömer, Pavel, Jan Platoš, and Václav Snášel. "GPU Accelerated Genetic Clustering." In Lecture Notes in Computer Science, 410–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34859-4_41.
Повний текст джерелаFleissner, Sebastian. "GPU-Accelerated Montgomery Exponentiation." In Computational Science – ICCS 2007, 213–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72584-8_28.
Повний текст джерелаBaúto, João, Rui Neves, and Nuno Horta. "GPU-Accelerated SAX/GA." In SpringerBriefs in Applied Sciences and Technology, 45–66. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73329-6_5.
Повний текст джерелаAhmad, Mohamad Rosyidi, Ahmad Fakhri Arif Mat Zaid, Muhamad Husaini Abu Bakar, Mohd Fauzi Alias, and Pranesh Krishnan. "GPU Accelerated Speech Recognition." In Advanced Structured Materials, 59–69. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67750-3_6.
Повний текст джерелаOsama, Muhammad, Anton Wijs, and Armin Biere. "SAT Solving with GPU Accelerated Inprocessing." In Tools and Algorithms for the Construction and Analysis of Systems, 133–51. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72016-2_8.
Повний текст джерелаRizk, Guillaume, and Dominique Lavenier. "GPU Accelerated RNA Folding Algorithm." In Lecture Notes in Computer Science, 1004–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01970-8_101.
Повний текст джерелаYang, Ying, Yu Gu, Chuanwen Li, Changyi Wan, and Ge Yu. "GPU-Accelerated Dynamic Graph Coloring." In Database Systems for Advanced Applications, 296–99. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18590-9_32.
Повний текст джерелаCao, Jian, Xiao-fang Xie, Jie Liang, and De-dong Li. "GPU Accelerated Target Tracking Method." In Advances in Intelligent and Soft Computing, 251–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25989-0_42.
Повний текст джерелаAndrzejewski, Witold, and Pawel Boinski. "GPU-Accelerated Collocation Pattern Discovery." In Advances in Databases and Information Systems, 302–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40683-6_23.
Повний текст джерелаТези доповідей конференцій з теми "GPU Accelerated"
Chakroun, Imen, Nick Michiels, and Roel Wuyts. "GPU-accelerated CellProfiler." In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2018. http://dx.doi.org/10.1109/bibm.2018.8621271.
Повний текст джерелаKonobrytskyi, Dmytro, Thomas Kurfess, Joshua Tarbutton, and Tommy Tucker. "GPGPU Accelerated 3-Axis CNC Machining Simulation." In ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/msec2013-1096.
Повний текст джерелаMetlicka, Magdalena, Donald Davendra, Frank Hermann, Markus Meier, and Matthias Amann. "GPU accelerated NEH algorithm." In 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS). IEEE, 2014. http://dx.doi.org/10.1109/cipls.2014.7007169.
Повний текст джерелаSanaullah, Ahmed, Saiful A. Mojumder, Kathleen M. Lewis, and Martin C. Herbordt. "GPU-accelerated charge mapping." In 2016 IEEE High Performance Extreme Computing Conference (HPEC). IEEE, 2016. http://dx.doi.org/10.1109/hpec.2016.7761599.
Повний текст джерелаVan Ranst, Wiebe, Floris De Smedt, and Toon Goedemé. "GPU Accelerated ACF Detector." In International Conference on Computer Vision Theory and Applications. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006585102420248.
Повний текст джерелаDan Liu. "GPU accelerated background subtraction." In 2015 IEEE 16th International Conference on Communication Technology (ICCT). IEEE, 2015. http://dx.doi.org/10.1109/icct.2015.7399860.
Повний текст джерелаGraves, Alexander. "GPU-accelerated feature tracking." In 2016 IEEE National Aerospace and Electronics Conference (NAECON) and Ohio Innovation Summit (OIS). IEEE, 2016. http://dx.doi.org/10.1109/naecon.2016.7856842.
Повний текст джерелаKong, Jiangang, and Yangdong Deng. "GPU accelerated face detection." In 2010 International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, 2010. http://dx.doi.org/10.1109/icicip.2010.5564978.
Повний текст джерелаSchofield, Ian, and Amirhossein Alimohammad. "Parallel GPU-Accelerated Spike Sorting." In 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE). IEEE, 2019. http://dx.doi.org/10.1109/ccece.2019.8861978.
Повний текст джерелаNeophytou, N., and K. Mueller. "GPU accelerated image aligned splatting." In Volume Graphics 2005. IEEE, 2005. http://dx.doi.org/10.1109/vg.2005.194115.
Повний текст джерелаЗвіти організацій з теми "GPU Accelerated"
Antz, Hartwig, Piotr Luszczek, Jack Dongarra, and Vinent Heuveline. GPU-Accelerated Asynchronous Error Correction for Mixed Precision Iterative Refinement. Office of Scientific and Technical Information (OSTI), December 2011. http://dx.doi.org/10.2172/1173289.
Повний текст джерелаTognini, S., P. Canal, T. Evans, G. Lima, A. Lund, S. Johnson, S. Jun, V. Pascuzzi, and P. Romano. $Celeritas$: GPU-accelerated particle transport for detector simulation in High Energy Physics experiments. Office of Scientific and Technical Information (OSTI), March 2022. http://dx.doi.org/10.2172/1863002.
Повний текст джерелаKolev, T. CEED-MS36: High-order algorithmic developments and optimizations for large-scale GPU-accelerated simulations. Office of Scientific and Technical Information (OSTI), March 2021. http://dx.doi.org/10.2172/1845639.
Повний текст джерелаRyan, Benjamin, and Manichandra Morampudi. bolt: A GPU-Accelerated Solver for Marginally Collisional Kinetic Physics Using a High- Resolution Constrained Transport Scheme. Office of Scientific and Technical Information (OSTI), June 2022. http://dx.doi.org/10.2172/1873300.
Повний текст джерелаKommera, Pranay, Vinay Ramakrishnaiah, and Christine Sweeney. Accelerate M-TIP on GPUs and deploy to Summit and NERSC-9 (against simulated data) WBS 2.2.4.05 ExaFEL, Milestone ADSE13-199. Office of Scientific and Technical Information (OSTI), November 2021. http://dx.doi.org/10.2172/1830563.
Повний текст джерела