Статті в журналах з теми "GPU pipeline"
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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 джерелаGong, Qian, Esteban Vera, Dathon R. Golish, Steven D. Feller, David J. Brady, and Michael E. Gehm. "Model-Based Multiscale Gigapixel Image Formation Pipeline on GPU." IEEE Transactions on Computational Imaging 3, no. 3 (September 2017): 493–502. http://dx.doi.org/10.1109/tci.2016.2612942.
Повний текст джерелаFu, Zhisong, T. James Lewis, Robert M. Kirby, and Ross T. Whitaker. "Architecting the finite element method pipeline for the GPU." Journal of Computational and Applied Mathematics 257 (February 2014): 195–211. http://dx.doi.org/10.1016/j.cam.2013.09.001.
Повний текст джерелаYe, Chang, Yuchen Li, Shixuan Sun, and Wentian Guo. "gSWORD: GPU-accelerated Sampling for Subgraph Counting." Proceedings of the ACM on Management of Data 2, no. 1 (March 12, 2024): 1–26. http://dx.doi.org/10.1145/3639288.
Повний текст джерелаKim, Do-Hyun, and Chi-Yong Kim. "Design of a SIMT architecture GP-GPU Using Tile based on Graphic Pipeline Structure." Journal of IKEEE 20, no. 1 (March 31, 2016): 75–81. http://dx.doi.org/10.7471/ikeee.2016.20.1.075.
Повний текст джерелаGeorgii, Joachim, and Rudiger Westermann. "A Generic and Scalable Pipeline for GPU Tetrahedral Grid Rendering." IEEE Transactions on Visualization and Computer Graphics 12, no. 5 (September 2006): 1345–52. http://dx.doi.org/10.1109/tvcg.2006.110.
Повний текст джерелаKenzel, Michael, Bernhard Kerbl, Dieter Schmalstieg, and Markus Steinberger. "A high-performance software graphics pipeline architecture for the GPU." ACM Transactions on Graphics 37, no. 4 (August 10, 2018): 1–15. http://dx.doi.org/10.1145/3197517.3201374.
Повний текст джерелаHou, Yi, Rongke Liu, Hao Peng, and Ling Zhao. "High Throughput Pipeline Decoder for LDPC Convolutional Codes on GPU." IEEE Communications Letters 19, no. 12 (December 2015): 2066–69. http://dx.doi.org/10.1109/lcomm.2015.2486764.
Повний текст джерелаMAGRO, A., J. HICKISH, and K. Z. ADAMI. "MULTIBEAM GPU TRANSIENT PIPELINE FOR THE MEDICINA BEST-2 ARRAY." Journal of Astronomical Instrumentation 02, no. 01 (September 2013): 1350008. http://dx.doi.org/10.1142/s2251171713500086.
Повний текст джерелаBraga, Giani, Marcio M. Gonçalves, and José Rodrigo Azambuja. "Software-controlled pipeline parity in GPU architectures for error detection." Microelectronics Reliability 148 (September 2023): 115155. http://dx.doi.org/10.1016/j.microrel.2023.115155.
Повний текст джерелаLI, PING, HANQIU SUN, JIANBING SHEN, and CHEN HUANG. "HDR IMAGE RERENDERING USING GPU-BASED PROCESSING." International Journal of Image and Graphics 12, no. 01 (January 2012): 1250007. http://dx.doi.org/10.1142/s0219467812500076.
Повний текст джерелаGARBA, MICHAEL T., and HORACIO GONZÁLEZ–VÉLEZ. "ASYMPTOTIC PEAK UTILISATION IN HETEROGENEOUS PARALLEL CPU/GPU PIPELINES: A DECENTRALISED QUEUE MONITORING STRATEGY." Parallel Processing Letters 22, no. 02 (May 16, 2012): 1240008. http://dx.doi.org/10.1142/s0129626412400087.
Повний текст джерелаUm, Taegeon, Byungsoo Oh, Byeongchan Seo, Minhyeok Kweun, Goeun Kim, and Woo-Yeon Lee. "FastFlow: Accelerating Deep Learning Model Training with Smart Offloading of Input Data Pipeline." Proceedings of the VLDB Endowment 16, no. 5 (January 2023): 1086–99. http://dx.doi.org/10.14778/3579075.3579083.
Повний текст джерелаMileff, Péter, and Judit Dudra. "Effective Pixel Rendering in Practice." Production Systems and Information Engineering 10, no. 1 (2022): 1–15. http://dx.doi.org/10.32968/psaie.2022.1.1.
Повний текст джерелаCarrazza, Stefano, Juan Cruz-Martinez, Marco Rossi, and Marco Zaro. "MadFlow: towards the automation of Monte Carlo simulation on GPU for particle physics processes." EPJ Web of Conferences 251 (2021): 03022. http://dx.doi.org/10.1051/epjconf/202125103022.
Повний текст джерелаLi, Tao, Qiankun Dong, Yifeng Wang, Xiaoli Gong, and Yulu Yang. "Dual buffer rotation four-stage pipeline for CPU–GPU cooperative computing." Soft Computing 23, no. 3 (September 6, 2017): 859–69. http://dx.doi.org/10.1007/s00500-017-2795-0.
Повний текст джерелаGou, Chunyang, and Georgi N. Gaydadjiev. "Addressing GPU On-Chip Shared Memory Bank Conflicts Using Elastic Pipeline." International Journal of Parallel Programming 41, no. 3 (July 3, 2012): 400–429. http://dx.doi.org/10.1007/s10766-012-0201-1.
Повний текст джерелаSánchez-Rojas, José Armando, José Aníbal Arias-Aguilar, Hiroshi Takemura, and Alberto Elías Petrilli-Barceló. "Staircase Detection, Characterization and Approach Pipeline for Search and Rescue Robots." Applied Sciences 11, no. 22 (November 14, 2021): 10736. http://dx.doi.org/10.3390/app112210736.
Повний текст джерелаZhuo, Jianghao, Ling Wang, Ke Xu, and Jianwei Wan. "A Coupling Graphic Pipeline with Normal Mode Model for Rapid Calculation of Underwater Acoustic Field." Shock and Vibration 2021 (January 29, 2021): 1–7. http://dx.doi.org/10.1155/2021/8847664.
Повний текст джерелаNie, Xiao, Leiting Chen, and Tao Xiang. "Real-Time Incompressible Fluid Simulation on the GPU." International Journal of Computer Games Technology 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/417417.
Повний текст джерелаWU, JIAWEN, FENGQUAN ZHANG, and XUKUN SHEN. "GPU-BASED FLUID SIMULATION WITH FAST COLLISION DETECTION ON BOUNDARIES." International Journal of Modeling, Simulation, and Scientific Computing 03, no. 01 (March 2012): 1240003. http://dx.doi.org/10.1142/s179396231240003x.
Повний текст джерелаZamikhovskyi, L. M., O. L. Zamikhovska, and V. V. Pavlyk. "Methodology for monitoring the technical condition of GPU type GTK-25i in the process of operation." Scientific Bulletin of Ivano-Frankivsk National Technical University of Oil and Gas, no. 2(49) (December 30, 2020): 106–16. http://dx.doi.org/10.31471/1993-9965-2020-2(49)-106-116.
Повний текст джерелаPeng, Bo, Tianqi Wang, Xi Jin, and Chuanjun Wang. "An Accelerating Solution forN-Body MOND Simulation with FPGA-SoC." International Journal of Reconfigurable Computing 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/4592780.
Повний текст джерелаVázquez, Sergio, and Margarita Amor. "Texture Mapping on NURBS Surface." Proceedings 2, no. 18 (September 17, 2018): 1197. http://dx.doi.org/10.3390/proceedings2181197.
Повний текст джерелаKunimoto, Michelle, Evan Tey, Willie Fong, Katharine Hesse, Glen Petitpas, and Avi Shporer. "QLP Data Release Notes 003: GPU-based Transit Search." Research Notes of the AAS 7, no. 2 (February 16, 2023): 28. http://dx.doi.org/10.3847/2515-5172/acbc13.
Повний текст джерелаXiong, Ruicheng, Yang Lu, Cong Chen, Jiaming Zhu, Yajun Zeng, and Ligang Liu. "ETER: Elastic Tessellation for Real-Time Pixel-Accurate Rendering of Large-Scale NURBS Models." ACM Transactions on Graphics 42, no. 4 (July 26, 2023): 1–13. http://dx.doi.org/10.1145/3592419.
Повний текст джерелаLi, Zhifang, Beicheng Peng, and Chuliang Weng. "XeFlow: Streamlining Inter-Processor Pipeline Execution for the Discrete CPU-GPU Platform." IEEE Transactions on Computers 69, no. 6 (June 1, 2020): 819–31. http://dx.doi.org/10.1109/tc.2020.2968302.
Повний текст джерелаBabbitt, Gregory A., Jamie S. Mortensen, Erin E. Coppola, Lily E. Adams, and Justin K. Liao. "DROIDS 1.20: A GUI-Based Pipeline for GPU-Accelerated Comparative Protein Dynamics." Biophysical Journal 114, no. 5 (March 2018): 1009–17. http://dx.doi.org/10.1016/j.bpj.2018.01.020.
Повний текст джерелаGuo, Xiangyu, Qi Chu, Shin Kee Chung, Zhihui Du, Linqing Wen, and Yanqi Gu. "GPU-acceleration on a low-latency binary-coalescence gravitational wave search pipeline." Computer Physics Communications 231 (October 2018): 62–71. http://dx.doi.org/10.1016/j.cpc.2018.05.002.
Повний текст джерелаNicolas-Barreales, Gonzalo, Aaron Sujar, and Alberto Sanchez. "A Web-Based Tool for Simulating Molecular Dynamics in Cloud Environments." Electronics 10, no. 2 (January 15, 2021): 185. http://dx.doi.org/10.3390/electronics10020185.
Повний текст джерелаVa, Hongly, Min-Hyung Choi, and Min Hong. "Real-Time Cloth Simulation Using Compute Shader in Unity3D for AR/VR Contents." Applied Sciences 11, no. 17 (September 6, 2021): 8255. http://dx.doi.org/10.3390/app11178255.
Повний текст джерелаFang, Juan, Zelin Wei, and Huijing Yang. "Locality-Based Cache Management and Warp Scheduling for Reducing Cache Contention in GPU." Micromachines 12, no. 10 (October 17, 2021): 1262. http://dx.doi.org/10.3390/mi12101262.
Повний текст джерелаLee, Seokwon, Inmo Ban, Myeongjin Lee, Yunho Jung, and Wookyung Lee. "Architecture Exploration of a Backprojection Algorithm for Real-Time Video SAR." Sensors 21, no. 24 (December 10, 2021): 8258. http://dx.doi.org/10.3390/s21248258.
Повний текст джерелаMo, Tiexiang, and Guodong Li. "Parallel Accelerated Fifth-Order WENO Scheme-Based Pipeline Transient Flow Solution Model." Applied Sciences 12, no. 14 (July 21, 2022): 7350. http://dx.doi.org/10.3390/app12147350.
Повний текст джерелаKozlenko, Mykola, Olena Zamikhovska, and Leonid Zamikhovskyi. "Software implemented fault diagnosis of natural gas pumping unit based on feedforward neural network." Eastern-European Journal of Enterprise Technologies 2, no. 2 (110) (April 30, 2021): 99–109. http://dx.doi.org/10.15587/1729-4061.2021.229859.
Повний текст джерелаStřelák, David, Carlos Óscar S. Sorzano, José María Carazo, and Jiří Filipovič. "A GPU acceleration of 3-D Fourier reconstruction in cryo-EM." International Journal of High Performance Computing Applications 33, no. 5 (March 11, 2019): 948–59. http://dx.doi.org/10.1177/1094342019832958.
Повний текст джерелаKonnurmath, Guruprasad, and Satyadhyan Chickerur. "GPU Shader Analysis and Power Optimization Model." Engineering, Technology & Applied Science Research 14, no. 1 (February 8, 2024): 12925–30. http://dx.doi.org/10.48084/etasr.6695.
Повний текст джерелаKhalid, Muhammad Farhan, Kanzal Iman, Amna Ghafoor, Mujtaba Saboor, Ahsan Ali, Urwa Muaz, Abdul Rehman Basharat, et al. "PERCEPTRON: an open-source GPU-accelerated proteoform identification pipeline for top-down proteomics." Nucleic Acids Research 49, W1 (May 17, 2021): W510—W515. http://dx.doi.org/10.1093/nar/gkab368.
Повний текст джерелаCali, Damla Senol, Thomas Anantharaman, Martin Muggli, Samer Al-Saffar, Charles Schoonover, and Neil Miller. "Abstract 2337: Accelerated optical genome mapping analysis with Stratys Compute and Guided Assembly." Cancer Research 84, no. 6_Supplement (March 22, 2024): 2337. http://dx.doi.org/10.1158/1538-7445.am2024-2337.
Повний текст джерелаLazar, Alina, Xiangyang Ju, Daniel Murnane, Paolo Calafiura, Steven Farrell, Yaoyuan Xu, Maria Spiropulu, et al. "Accelerating the Inference of the Exa.TrkX Pipeline." Journal of Physics: Conference Series 2438, no. 1 (February 1, 2023): 012008. http://dx.doi.org/10.1088/1742-6596/2438/1/012008.
Повний текст джерелаZhao, Hanyu, Zhi Yang, Yu Cheng, Chao Tian, Shiru Ren, Wencong Xiao, Man Yuan, et al. "GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning." Proceedings of the ACM on Management of Data 1, no. 2 (June 13, 2023): 1–25. http://dx.doi.org/10.1145/3589773.
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