Статті в журналах з теми "CUDA FRAMEWORK"
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Trujillo, Leonardo, Jose Manuel Muñoz Contreras, Daniel E. Hernandez, Mauro Castelli, and Juan J. Tapia. "GSGP-CUDA — A CUDA framework for Geometric Semantic Genetic Programming." SoftwareX 18 (June 2022): 101085. http://dx.doi.org/10.1016/j.softx.2022.101085.
Повний текст джерелаRosenberg, Duane, Pablo D. Mininni, Raghu Reddy, and Annick Pouquet. "GPU Parallelization of a Hybrid Pseudospectral Geophysical Turbulence Framework Using CUDA." Atmosphere 11, no. 2 (February 8, 2020): 178. http://dx.doi.org/10.3390/atmos11020178.
Повний текст джерелаWang, Fan, Xiao Jiang, and Xiao Peng Hu. "A TBB-CUDA Implementation for Background Removal in a Video-Based Fire Detection System." Mathematical Problems in Engineering 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/692921.
Повний текст джерелаBi, Yujiang, Yi Xiao, WeiYi Guo, Ming Gong, Peng Sun, Shun Xu, and Yi-bo Yang. "Lattice QCD GPU Inverters on ROCm Platform." EPJ Web of Conferences 245 (2020): 09008. http://dx.doi.org/10.1051/epjconf/202024509008.
Повний текст джерелаPeng, Bo, Junliang Lai, Yang Wang, Ling Wang, and Dong C. Liu. "CUDA-Based Parallel Computation Framework for Phase Root Seeking Algorithm." Journal of Medical Imaging and Health Informatics 4, no. 6 (December 1, 2014): 922–31. http://dx.doi.org/10.1166/jmihi.2014.1343.
Повний текст джерелаAhmed, Rafid, Md Sazzadul Islam, and Jia Uddin. "Optimizing Apple Lossless Audio Codec Algorithm using NVIDIA CUDA Architecture." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 1 (February 1, 2018): 70. http://dx.doi.org/10.11591/ijece.v8i1.pp70-75.
Повний текст джерелаMichailidis, P. D., and K. G. Margaritis. "Accelerating kernel density estimation on the GPU using the CUDA framework." Applied Mathematical Sciences 7 (2013): 1447–76. http://dx.doi.org/10.12988/ams.2013.13133.
Повний текст джерелаBruel, Pedro, Marcos Amarís, and Alfredo Goldman. "Autotuning CUDA compiler parameters for heterogeneous applications using the OpenTuner framework." Concurrency and Computation: Practice and Experience 29, no. 22 (March 6, 2017): e3973. http://dx.doi.org/10.1002/cpe.3973.
Повний текст джерелаHadji-Kyriacou, Avelina, and Ognjen Arandjelović. "Raymarching Distance Fields with CUDA." Electronics 10, no. 22 (November 9, 2021): 2730. http://dx.doi.org/10.3390/electronics10222730.
Повний текст джерелаLee, Seongjae, and Taehyoun Kim. "Parallel Dislocation Model Implementation for Earthquake Source Parameter Estimation on Multi-Threaded GPU." Applied Sciences 11, no. 20 (October 11, 2021): 9434. http://dx.doi.org/10.3390/app11209434.
Повний текст джерелаJaveed, Danish, Tianhan Gao, Muhammad Taimoor Khan, and Ijaz Ahmad. "A Hybrid Deep Learning-Driven SDN Enabled Mechanism for Secure Communication in Internet of Things (IoT)." Sensors 21, no. 14 (July 18, 2021): 4884. http://dx.doi.org/10.3390/s21144884.
Повний текст джерелаCabodi, Gianpiero, Paolo Camurati, Alessandro Garbo, Michele Giorelli, Stefano Quer, and Francesco Savarese. "A Smart Many-Core Implementation of a Motion Planning Framework along a Reference Path for Autonomous Cars." Electronics 8, no. 2 (February 2, 2019): 177. http://dx.doi.org/10.3390/electronics8020177.
Повний текст джерелаPeña-Cantillana, Francisco, Daniel Díaz-Pernil, Hepzibah A. Christinal, and Miguel A. Gutiérrez-Naranjo. "Implementation on CUDA of the Smoothing Problem with Tissue-Like P Systems." International Journal of Natural Computing Research 2, no. 3 (July 2011): 25–34. http://dx.doi.org/10.4018/jncr.2011070103.
Повний текст джерелаKinsner, M., D. Capson, and A. Spence. "A modular CUDA-based framework for scale-space feature detection in video streams." Journal of Physics: Conference Series 256 (November 1, 2010): 012005. http://dx.doi.org/10.1088/1742-6596/256/1/012005.
Повний текст джерелаChen, DeHao, WenGuang Chen, and WeiMin Zheng. "CUDA-Zero: a framework for porting shared memory GPU applications to multi-GPUs." Science China Information Sciences 55, no. 3 (February 25, 2012): 663–76. http://dx.doi.org/10.1007/s11432-011-4497-z.
Повний текст джерелаTang, Ying, Xiaoying Shi, Tingzhe Xiao, and Jing Fan. "An improved image analogy method based on adaptive CUDA-accelerated neighborhood matching framework." Visual Computer 28, no. 6-8 (April 19, 2012): 743–53. http://dx.doi.org/10.1007/s00371-012-0701-4.
Повний текст джерелаSokolovskyy, Yaroslav, Denys Manokhin, Yaroslav Kaplunsky, and Olha Mokrytska. "Development of software and algorithms of parallel learning of artificial neural networks using CUDA technologies." Technology audit and production reserves 5, no. 2(61) (September 23, 2021): 21–25. http://dx.doi.org/10.15587/2706-5448.2021.239784.
Повний текст джерелаHwang, Jaemin, Jong-Wook Choi, Seongrim Choi, and Byeong-Gyu Nam. "A Simulation Framework for CUDA Computing on Non-x86 Platforms based on QEMU and GPGPU-Sim." Journal of the Korea Industrial Information Systems Research 19, no. 2 (April 30, 2014): 15–22. http://dx.doi.org/10.9723/jksiis.2014.19.2.015.
Повний текст джерелаPoli, G., E. Llapa, J. R. Cecatto, J. H. Saito, J. F. Peters, S. Ramanna, and M. C. Nicoletti. "Solar flare detection system based on tolerance near sets in a GPU–CUDA framework." Knowledge-Based Systems 70 (November 2014): 345–60. http://dx.doi.org/10.1016/j.knosys.2014.07.012.
Повний текст джерелаTovkach, Serhii. "CUDA-інтеграція контурів керування авіаційного газотурбінного двигуна". Aerospace Technic and Technology, № 6 (27 листопада 2023): 31–39. http://dx.doi.org/10.32620/aktt.2022.6.04.
Повний текст джерелаZhao, Yuxuan, Qi Sun, Zhuolun He, Yang Bai, and Bei Yu. "AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 9 (June 26, 2023): 11354–62. http://dx.doi.org/10.1609/aaai.v37i9.26343.
Повний текст джерелаShaikh, Alim, Isha Goski, Parth Bhosale, Somesh Bhosale, and Prof S. S. Pawar. "HORUS - Heuristic Object Recognition Unified System Using YOLO and CUDA." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 974–76. http://dx.doi.org/10.22214/ijraset.2023.51688.
Повний текст джерелаHanousek, Vít, and Tomáš Oberhuber. "Efficient Transfer of C++ Objects on Intel Xeon Phi KNC in Offload Mode." Computer Methods in Material Science 17, no. 2 (2017): 94–100. http://dx.doi.org/10.7494/cmms.2017.2.0594.
Повний текст джерелаTorti, Emanuele, Alessandro Fontanella, Antonio Plaza, Javier Plaza, and Francesco Leporati. "Hyperspectral Image Classification Using Parallel Autoencoding Diabolo Networks on Multi-Core and Many-Core Architectures." Electronics 7, no. 12 (December 8, 2018): 411. http://dx.doi.org/10.3390/electronics7120411.
Повний текст джерелаBocci, Andrea, David Dagenhart, Vincenzo Innocente, Christopher Jones, Matti Kortelainen, Felice Pantaleo, and Marco Rovere. "Bringing heterogeneity to the CMS software framework." EPJ Web of Conferences 245 (2020): 05009. http://dx.doi.org/10.1051/epjconf/202024505009.
Повний текст джерелаKUMAR, PIYUSH, and ANUPAM AGRAWAL. "GPU-ACCELERATED INTERACTIVE VISUALIZATION OF 3D VOLUMETRIC DATA USING CUDA." International Journal of Image and Graphics 13, no. 02 (April 2013): 1340003. http://dx.doi.org/10.1142/s0219467813400032.
Повний текст джерелаGuzzi, Francesco, George Kourousias, Fulvio Billè, Roberto Pugliese, Alessandra Gianoncelli, and Sergio Carrato. "A modular software framework for the design and implementation of ptychography algorithms." PeerJ Computer Science 8 (July 25, 2022): e1036. http://dx.doi.org/10.7717/peerj-cs.1036.
Повний текст джерелаSheng, Yanyan, William S. Welling, and Michelle M. Zhu. "A GPU-Based Gibbs Sampler for a Unidimensional IRT Model." International Scholarly Research Notices 2014 (October 30, 2014): 1–11. http://dx.doi.org/10.1155/2014/368149.
Повний текст джерелаMunawar, Asim, Mohamed Wahib, Masaharu Munetomo, and Kiyoshi Akama. "Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework." Genetic Programming and Evolvable Machines 10, no. 4 (October 20, 2009): 391–415. http://dx.doi.org/10.1007/s10710-009-9091-4.
Повний текст джерелаBlazewicz, Marek, Ian Hinder, David M. Koppelman, Steven R. Brandt, Milosz Ciznicki, Michal Kierzynka, Frank Löffler, Erik Schnetter, and Jian Tao. "From Physics Model to Results: An Optimizing Framework for Cross-Architecture Code Generation." Scientific Programming 21, no. 1-2 (2013): 1–16. http://dx.doi.org/10.1155/2013/167841.
Повний текст джерелаSamaké, A., M. Alassane, A. Mahamane, and O. Diallo. "A SCALABLE HYBRID CPU-GPU COMPUTATIONAL FRAMEWORK FOR A FINITE ELEMENT-BASED AIR QUALITY MODEL." Advances in Mathematics: Scientific Journal 12, no. 1 (January 2, 2023): 45–61. http://dx.doi.org/10.37418/amsj.12.1.3.
Повний текст джерелаT. A. Valencia-Pérez, J. M. Hernández-López, E. Moreno-Barbosa, and B. de Celis-Alonso. "Study of CT Images Processing with the Implementation of MLEM Algorithm using CUDA on NVIDIA’S GPU Framework." Journal of Nuclear Physics, Material Sciences, Radiation and Applications 7, no. 2 (February 28, 2020): 165–71. http://dx.doi.org/10.15415/jnp.2020.72021.
Повний текст джерелаMontella, Raffaele, Giulio Giunta, Giuliano Laccetti, Marco Lapegna, Carlo Palmieri, Carmine Ferraro, Valentina Pelliccia, Cheol-Ho Hong, Ivor Spence, and Dimitrios S. Nikolopoulos. "On the Virtualization of CUDA Based GPU Remoting on ARM and X86 Machines in the GVirtuS Framework." International Journal of Parallel Programming 45, no. 5 (October 13, 2016): 1142–63. http://dx.doi.org/10.1007/s10766-016-0462-1.
Повний текст джерелаQiu, Liu Chao. "OpenCL-Based GPU Acceleration of ISPH Simulation for Incompressible Flows." Applied Mechanics and Materials 444-445 (October 2013): 380–84. http://dx.doi.org/10.4028/www.scientific.net/amm.444-445.380.
Повний текст джерелаBlazewicz, Marek, Steven R. Brandt, Michal Kierzynka, Krzysztof Kurowski, Bogdan Ludwiczak, Jian Tao, and Jan Weglarz. "CaKernel – A Parallel Application Programming Framework for Heterogenous Computing Architectures." Scientific Programming 19, no. 4 (2011): 185–97. http://dx.doi.org/10.1155/2011/457030.
Повний текст джерелаMadrigal Díaz, Jorge Francisco, and Jean-Bernard Hayet. "Color and motion-based particle filter target tracking in a network of overlapping cameras with multi-threading and GPGPU." Acta Universitaria 23, no. 1 (February 28, 2013): 9–16. http://dx.doi.org/10.15174/au.2013.355.
Повний текст джерелаSu, Huayou, Mei Wen, Nan Wu, Ju Ren, and Chunyuan Zhang. "Efficient Parallel Video Processing Techniques on GPU: From Framework to Implementation." Scientific World Journal 2014 (2014): 1–19. http://dx.doi.org/10.1155/2014/716020.
Повний текст джерелаBlyth, Simon. "Integration of JUNO simulation framework with Opticks: GPU accelerated optical propagation via NVIDIA® OptiX™." EPJ Web of Conferences 251 (2021): 03009. http://dx.doi.org/10.1051/epjconf/202125103009.
Повний текст джерелаGomes, Raphael De Souza Rosa, Victor Hugo De Morais Danelichen, Marcelo Sacardi Biudes, Maisa Caldas Souza Velasque, Josiel Maimome De Figueiredo, and José De Souza Nogueira. "The Surface Energy Balance Algorithm for Land (SEBAL) framework in Graphics Processing Units (GPU) using Cuda and OpenCL." Revista Brasileira de Geografia Física 14, no. 3 (July 20, 2021): 1805. http://dx.doi.org/10.26848/rbgf.v14.3.p1805-1814.
Повний текст джерелаCuomo, S., A. Galletti, G. Giunta, and L. Marcellino. "Toward a Multi-level Parallel Framework on GPU Cluster with PetSC-CUDA for PDE-based Optical Flow Computation." Procedia Computer Science 51 (2015): 170–79. http://dx.doi.org/10.1016/j.procs.2015.05.220.
Повний текст джерелаHolmvall, P., N. Wall Wennerdal, M. Håkansson, P. Stadler, O. Shevtsov, T. Löfwander, and M. Fogelström. "SuperConga: An open-source framework for mesoscopic superconductivity." Applied Physics Reviews 10, no. 1 (March 2023): 011317. http://dx.doi.org/10.1063/5.0100324.
Повний текст джерелаWang, Zhenwu, Benting Wan, and Mengjie Han. "A Three-Dimensional Visualization Framework for Underground Geohazard Recognition on Urban Road-Facing GPR Data." ISPRS International Journal of Geo-Information 9, no. 11 (November 11, 2020): 668. http://dx.doi.org/10.3390/ijgi9110668.
Повний текст джерелаDressler, Sven, and Daniel N. Wilke. "PyBONDEM-GPU: A discrete element bonded particle Python research framework – Development and examples." EPJ Web of Conferences 249 (2021): 14009. http://dx.doi.org/10.1051/epjconf/202124914009.
Повний текст джерелаAdeshina, Adekunle. "Automated Medical Visualization Application of Supervised Learning to Clinical Diagnosis, Disease and Therapy Management.docx." SLU Journal of Science and Technology 5, no. 1&2 (December 29, 2022): 104–14. http://dx.doi.org/10.56471/slujst.v5i.311.
Повний текст джерелаLuo, Xun, Wei Zhao, Bao Shun Liu, and Yan Ming Zhang. "A Feasible Parallel Monte Carlo Algorithm to Simulate Templated Grain Growth." Advanced Materials Research 332-334 (September 2011): 1868–71. http://dx.doi.org/10.4028/www.scientific.net/amr.332-334.1868.
Повний текст джерелаFedorov, Eugene, Peter Nikolyuk, Olga Nechporenko, and Esta Chioma. "Intellectualization of a method for solving a logistics problem to optimize costs within the framework of Lean Production technology." Electronic Scientific Journal Intellectualization of Logistics and Supply Chain Management #1 2020 1, no. 3 (2020): 7–17. http://dx.doi.org/10.46783/smart-scm/2020-3-1.
Повний текст джерелаYuan, Jianying, Dequan Guo, Gexiang Zhang, Prithwineel Paul, Ming Zhu, and Qiang Yang. "A Resolution-Free Parallel Algorithm for Image Edge Detection within the Framework of Enzymatic Numerical P Systems." Molecules 24, no. 7 (March 29, 2019): 1235. http://dx.doi.org/10.3390/molecules24071235.
Повний текст джерелаHo, Nhut-Minh, Himeshi De silva, and Weng-Fai Wong. "GRAM." ACM Transactions on Architecture and Code Optimization 18, no. 2 (March 2021): 1–24. http://dx.doi.org/10.1145/3441830.
Повний текст джерелаTang, Chin-I., Xianyue Deng, and Yuzuru Takashima. "Real-Time CGH Generation by CUDA-OpenGL Interoperability for Adaptive Beam Steering with a MEMS Phase SLM." Micromachines 13, no. 9 (September 15, 2022): 1527. http://dx.doi.org/10.3390/mi13091527.
Повний текст джерелаPeng, Feng, Xiaoli Hao, and Fuxin Chai. "A GPU-Accelerated Two-Dimensional Hydrodynamic Model for Unstructured Grids." Water 15, no. 7 (March 25, 2023): 1300. http://dx.doi.org/10.3390/w15071300.
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