Artículos de revistas sobre el tema "Sawtooth Compressed Row Storage"
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Bani-Ismail, Basel y Ghassan Kanaan. "Comparing Different Sparse Matrix Storage Structures as Index Structure for Arabic Text Collection". International Journal of Information Retrieval Research 2, n.º 2 (abril de 2012): 52–67. http://dx.doi.org/10.4018/ijirr.2012040105.
Texto completoMohammed, Saira Banu Jamal, M. Rajasekhara Babu y Sumithra Sriram. "GPU Implementation of Image Convolution Using Sparse Model with Efficient Storage Format". International Journal of Grid and High Performance Computing 10, n.º 1 (enero de 2018): 54–70. http://dx.doi.org/10.4018/ijghpc.2018010104.
Texto completoTanaka, Teruo, Ryo Otsuka, Akihiro Fujii, Takahiro Katagiri y Toshiyuki Imamura. "Implementation of D-Spline-Based Incremental Performance Parameter Estimation Method with ppOpen-AT". Scientific Programming 22, n.º 4 (2014): 299–307. http://dx.doi.org/10.1155/2014/310879.
Texto completoYan, Kaizhuang, Yongxian Wang y Wenbin Xiao. "A New Compression and Storage Method for High-Resolution SSP Data Based-on Dictionary Learning". Journal of Marine Science and Engineering 10, n.º 8 (10 de agosto de 2022): 1095. http://dx.doi.org/10.3390/jmse10081095.
Texto completoKnopp, T. y A. Weber. "Local System Matrix Compression for Efficient Reconstruction in Magnetic Particle Imaging". Advances in Mathematical Physics 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/472818.
Texto completoAlAhmadi, Sarah, Thaha Mohammed, Aiiad Albeshri, Iyad Katib y Rashid Mehmood. "Performance Analysis of Sparse Matrix-Vector Multiplication (SpMV) on Graphics Processing Units (GPUs)". Electronics 9, n.º 10 (13 de octubre de 2020): 1675. http://dx.doi.org/10.3390/electronics9101675.
Texto completoChristnatalis, Christnatalis, Bachtiar Bachtiar y Rony Rony. "Comparative Compression of Wavelet Haar Transformation with Discrete Wavelet Transform on Colored Image Compression". JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING 3, n.º 2 (20 de enero de 2020): 202–9. http://dx.doi.org/10.31289/jite.v3i2.3154.
Texto completoZhang, Xi Xi, Yu Jing Jia y Guang Zhen Cheng. "The Water Sump Cleaning Machine by Vacuum Suction". Applied Mechanics and Materials 201-202 (octubre de 2012): 785–88. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.785.
Texto completoJi, Guo Liang, Yang De Feng, Wen Kai Cui y Liang Gang Lu. "Implementation Procedures of Parallel Preconditioning with Sparse Matrix Based on FEM". Applied Mechanics and Materials 166-169 (mayo de 2012): 3166–73. http://dx.doi.org/10.4028/www.scientific.net/amm.166-169.3166.
Texto completoMahmoud, Mohammed, Mark Hoffmann y Hassan Reza. "Developing a New Storage Format and a Warp-Based SpMV Kernel for Configuration Interaction Sparse Matrices on the GPU". Computation 6, n.º 3 (24 de agosto de 2018): 45. http://dx.doi.org/10.3390/computation6030045.
Texto completoSaad, Aouatif, Adil Echchelh, Mohammed Hattabi y Ganaoui El. "An improved computational method for non isothermal resin transfer moulding simulation". Thermal Science 15, suppl. 2 (2011): 275–89. http://dx.doi.org/10.2298/tsci100928016s.
Texto completoSadineni, Praveen Kumar. "Compression Methodologies for Columnar Database Optimization". Journal of Computational Science and Intelligent Technologies 3, n.º 1 (2022): 24–32. http://dx.doi.org/10.53409/mnaa/jcsit/e202203012432.
Texto completoAhmed, Muhammad, Sardar Usman, Nehad Ali Shah, M. Usman Ashraf, Ahmed Mohammed Alghamdi, Adel A. Bahadded y Khalid Ali Almarhabi. "AAQAL: A Machine Learning-Based Tool for Performance Optimization of Parallel SPMV Computations Using Block CSR". Applied Sciences 12, n.º 14 (13 de julio de 2022): 7073. http://dx.doi.org/10.3390/app12147073.
Texto completoZeng, Guangsen y Yi Zou. "Leveraging Memory Copy Overlap for Efficient Sparse Matrix-Vector Multiplication on GPUs". Electronics 12, n.º 17 (31 de agosto de 2023): 3687. http://dx.doi.org/10.3390/electronics12173687.
Texto completoWang, Zhi y Sinan Fang. "Three-Dimensional Inversion of Borehole-Surface Resistivity Method Based on the Unstructured Finite Element". International Journal of Antennas and Propagation 2021 (24 de septiembre de 2021): 1–13. http://dx.doi.org/10.1155/2021/5154985.
Texto completoRen, Zhi-guo y Li Guo. "The Row Priority Single Vector Compressed Storage of Upper Trapezoidal Matrix". DEStech Transactions on Computer Science and Engineering, icicee (20 de diciembre de 2017). http://dx.doi.org/10.12783/dtcse/icicee2017/17192.
Texto completoXing, Longyue, Zhaoshun Wang, Zhezhao Ding, Genshen Chu, Lingyu Dong y Nan Xiao. "An efficient sparse stiffness matrix vector multiplication using compressed sparse row storage format on AMD GPU". Concurrency and Computation: Practice and Experience, 20 de julio de 2022. http://dx.doi.org/10.1002/cpe.7186.
Texto completoNhường, Lê Đắc, Lê Đăng Nguyên y Lê Trọng Vĩnh. "Tối ưu không gian trạng thái của thuật toán AhoCorasick sử dụng kỹ thuật nén dòng và bảng chỉ số". Các công trình nghiên cứu, phát triển và ứng dụng Công nghệ Thông tin và Truyền thông, 12 de septiembre de 2014. http://dx.doi.org/10.32913/mic-ict-research-vn.v1.n29.117.
Texto completoTIGADI, GAYATRI B. y MANJULADEVI T.H. "LOSSLESS AND LOSSY IMAGE COMPRESSION BASED ON DATA FOLDING". International Journal of Electronics and Electical Engineering, julio de 2014, 45–49. http://dx.doi.org/10.47893/ijeee.2014.1125.
Texto completoTIGADI, GAYATRI B. y MANJULADEVI T.H. "LOSSLESS AND LOSSY IMAGE COMPRESSION BASED ON DATA FOLDING". International Journal of Electronics and Electical Engineering, julio de 2014, 45–49. http://dx.doi.org/10.47893/ijeee.2014.1125.
Texto completoDing, Youde, Yuan Liao, Ji He, Jianfeng Ma, Xu Wei, Xuemei Liu, Guiying Zhang y Jing Wang. "Enhancing genomic mutation data storage optimization based on the compression of asymmetry of sparsity". Frontiers in Genetics 14 (1 de junio de 2023). http://dx.doi.org/10.3389/fgene.2023.1213907.
Texto completoDu, Yang, Guoqiang Long, Donghua Jiang, Xiuli Chai y Junhe Han. "Optical image encryption algorithm based on a new four-dimensional memristive hyperchaotic system and compressed sensing". Chinese Physics B, 11 de agosto de 2023. http://dx.doi.org/10.1088/1674-1056/acef08.
Texto completoSiddika, Aiasha. "Study and Performance Analysis of Different Techniques for Computing Data Cubes". Global Journal of Computer Science and Technology, 9 de diciembre de 2019, 33–42. http://dx.doi.org/10.34257/gjcstcvol19is3pg33.
Texto completoWang, Hu, Enying Li y Guangyao Li. "A Parallel Reanalysis Method Based on Approximate Inverse Matrix for Complex Engineering Problems". Journal of Mechanical Design 135, n.º 8 (30 de mayo de 2013). http://dx.doi.org/10.1115/1.4024368.
Texto completoXu, Long y Xiao Tao Hao. "Data Migration System Over Distributed Cloud Environment with Internet of Things for Smart Communications". Journal of Computing in Engineering, 5 de julio de 2020, 19–29. http://dx.doi.org/10.46532/jce.20200703.
Texto completoZhang, Qian y Jianguo Wang. "Incremental association rules update algorithm based on the sort compression matrix". Journal of Intelligent & Fuzzy Systems, 25 de mayo de 2023, 1–12. http://dx.doi.org/10.3233/jifs-231252.
Texto completoAliaga, José I., Hartwig Anzt, Enrique S. Quintana‐Ortí y Andrés E. Tomás. "Sparse matrix‐vector and matrix‐multivector products for the truncated SVD on graphics processors". Concurrency and Computation: Practice and Experience, 4 de agosto de 2023. http://dx.doi.org/10.1002/cpe.7871.
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