Статті в журналах з теми "Sparse Matrix Storage Formats"
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Langr, Daniel, and Pavel Tvrdik. "Evaluation Criteria for Sparse Matrix Storage Formats." IEEE Transactions on Parallel and Distributed Systems 27, no. 2 (February 1, 2016): 428–40. http://dx.doi.org/10.1109/tpds.2015.2401575.
Повний текст джерелаMUKADDES, ABUL MUKID MOHAMMAD, MASAO OGINO, and RYUJI SHIOYA. "PERFORMANCE EVALUATION OF DOMAIN DECOMPOSITION METHOD WITH SPARSE MATRIX STORAGE SCHEMES IN MODERN SUPERCOMPUTER." International Journal of Computational Methods 11, supp01 (November 2014): 1344007. http://dx.doi.org/10.1142/s0219876213440076.
Повний текст джерелаChen, Shizhao, Jianbin Fang, Chuanfu Xu, and Zheng Wang. "Adaptive Hybrid Storage Format for Sparse Matrix–Vector Multiplication on Multi-Core SIMD CPUs." Applied Sciences 12, no. 19 (September 29, 2022): 9812. http://dx.doi.org/10.3390/app12199812.
Повний текст джерелаSanderson, Conrad, and Ryan Curtin. "Practical Sparse Matrices in C++ with Hybrid Storage and Template-Based Expression Optimisation." Mathematical and Computational Applications 24, no. 3 (July 19, 2019): 70. http://dx.doi.org/10.3390/mca24030070.
Повний текст джерелаFRAGUELA, BASILIO B., RAMÓN DOALLO, and EMILIO L. ZAPATA. "MEMORY HIERARCHY PERFORMANCE PREDICTION FOR BLOCKED SPARSE ALGORITHMS." Parallel Processing Letters 09, no. 03 (September 1999): 347–60. http://dx.doi.org/10.1142/s0129626499000323.
Повний текст джерелаSmith, Barry F., and William D. Gropp. "The Design of Data-Structure-Neutral Libraries for the Iterative Solution of Sparse Linear Systems." Scientific Programming 5, no. 4 (1996): 329–36. http://dx.doi.org/10.1155/1996/417629.
Повний текст джерелаGuo, Dahai, and William Gropp. "Applications of the streamed storage format for sparse matrix operations." International Journal of High Performance Computing Applications 28, no. 1 (January 3, 2013): 3–12. http://dx.doi.org/10.1177/1094342012470469.
Повний текст джерелаAkhunov, R. R., S. P. Kuksenko, V. K. Salov, and T. R. Gazizov. "Sparse matrix storage formats and acceleration of iterative solution of linear algebraic systems with dense matrices." Journal of Mathematical Sciences 191, no. 1 (April 21, 2013): 10–18. http://dx.doi.org/10.1007/s10958-013-1296-7.
Повний текст джерелаMerrill, Duane, and Michael Garland. "Merge-based sparse matrix-vector multiplication (SpMV) using the CSR storage format." ACM SIGPLAN Notices 51, no. 8 (November 9, 2016): 1–2. http://dx.doi.org/10.1145/3016078.2851190.
Повний текст джерелаZhang, Jilin, Jian Wan, Fangfang Li, Jie Mao, Li Zhuang, Junfeng Yuan, Enyi Liu, and Zhuoer Yu. "Efficient sparse matrix–vector multiplication using cache oblivious extension quadtree storage format." Future Generation Computer Systems 54 (January 2016): 490–500. http://dx.doi.org/10.1016/j.future.2015.03.005.
Повний текст джерелаSmith, Barry, and Hong Zhang. "Sparse triangular solves for ILU revisited: data layout crucial to better performance." International Journal of High Performance Computing Applications 25, no. 4 (December 5, 2010): 386–91. http://dx.doi.org/10.1177/1094342010389857.
Повний текст джерелаJi, Guo Liang, Yang De Feng, Wen Kai Cui, and Liang Gang Lu. "Implementation Procedures of Parallel Preconditioning with Sparse Matrix Based on FEM." Applied Mechanics and Materials 166-169 (May 2012): 3166–73. http://dx.doi.org/10.4028/www.scientific.net/amm.166-169.3166.
Повний текст джерелаOganesyan, P. A., and O. O. Shtein. "Implementation of Basic Operations for Sparse Matrices when Solving a Generalized Eigenvalue Problem in the ACELAN-COMPOS Complex." Advanced Engineering Research 23, no. 2 (July 14, 2023): 121–29. http://dx.doi.org/10.23947/2687-1653-2023-23-2-121-129.
Повний текст джерелаBramas, Bérenger, and Pavel Kus. "Computing the sparse matrix vector product using block-based kernels without zero padding on processors with AVX-512 instructions." PeerJ Computer Science 4 (April 30, 2018): e151. http://dx.doi.org/10.7717/peerj-cs.151.
Повний текст джерелаMahmoud, Mohammed, Mark Hoffmann, and Hassan Reza. "Developing a New Storage Format and a Warp-Based SpMV Kernel for Configuration Interaction Sparse Matrices on the GPU." Computation 6, no. 3 (August 24, 2018): 45. http://dx.doi.org/10.3390/computation6030045.
Повний текст джерелаMohammed, Saira Banu Jamal, M. Rajasekhara Babu, and Sumithra Sriram. "GPU Implementation of Image Convolution Using Sparse Model with Efficient Storage Format." International Journal of Grid and High Performance Computing 10, no. 1 (January 2018): 54–70. http://dx.doi.org/10.4018/ijghpc.2018010104.
Повний текст джерелаZhang, Jianfei, and Lei Zhang. "Efficient CUDA Polynomial Preconditioned Conjugate Gradient Solver for Finite Element Computation of Elasticity Problems." Mathematical Problems in Engineering 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/398438.
Повний текст джерелаLi, Yishui, Peizhen Xie, Xinhai Chen, Jie Liu, Bo Yang, Shengguo Li, Chunye Gong, Xinbiao Gan, and Han Xu. "VBSF: a new storage format for SIMD sparse matrix–vector multiplication on modern processors." Journal of Supercomputing 76, no. 3 (April 10, 2019): 2063–81. http://dx.doi.org/10.1007/s11227-019-02835-4.
Повний текст джерелаBoo, Hee-Hyung, and Sung-Ho Kim. "Two dimensional variable-length vector storage format for efficient storage of sparse matrix in the finite element method." Journal of the Korea Society of Computer and Information 17, no. 9 (September 30, 2012): 9–16. http://dx.doi.org/10.9708/jksci/2012.17.9.009.
Повний текст джерелаAlAhmadi, Sarah, Thaha Mohammed, Aiiad Albeshri, Iyad Katib, and Rashid Mehmood. "Performance Analysis of Sparse Matrix-Vector Multiplication (SpMV) on Graphics Processing Units (GPUs)." Electronics 9, no. 10 (October 13, 2020): 1675. http://dx.doi.org/10.3390/electronics9101675.
Повний текст джерелаAhmed, Muhammad, Sardar Usman, Nehad Ali Shah, M. Usman Ashraf, Ahmed Mohammed Alghamdi, Adel A. Bahadded, and Khalid Ali Almarhabi. "AAQAL: A Machine Learning-Based Tool for Performance Optimization of Parallel SPMV Computations Using Block CSR." Applied Sciences 12, no. 14 (July 13, 2022): 7073. http://dx.doi.org/10.3390/app12147073.
Повний текст джерелаMoussaoui, Mohammed Lamine, Abderrahmane Kibboua, and Mohamed Chabaat. "Contribution to Bridge Damage Analysis." Applied Mechanics and Materials 704 (December 2014): 435–41. http://dx.doi.org/10.4028/www.scientific.net/amm.704.435.
Повний текст джерелаZeng, Guangsen, and Yi Zou. "Leveraging Memory Copy Overlap for Efficient Sparse Matrix-Vector Multiplication on GPUs." Electronics 12, no. 17 (August 31, 2023): 3687. http://dx.doi.org/10.3390/electronics12173687.
Повний текст джерелаGao, Jiaquan, Yuanshen Zhou, and Kesong Wu. "A Novel Multi-GPU Parallel Optimization Model for The Sparse Matrix-Vector Multiplication." Parallel Processing Letters 26, no. 04 (December 2016): 1640001. http://dx.doi.org/10.1142/s0129626416400016.
Повний текст джерелаHuang, Lan, Jia Zeng, Shiqi Sun, Wencong Wang, Yan Wang, and Kangping Wang. "Coarse-Grained Pruning of Neural Network Models Based on Blocky Sparse Structure." Entropy 23, no. 8 (August 13, 2021): 1042. http://dx.doi.org/10.3390/e23081042.
Повний текст джерелаLiu, Guangwei, Zhen Hao, Zheng Niu, Ka Mu, Jixian Ma, and Wenzhe Zhang. "Lossless Compression and Optimization Method of Data Flow Efficiency of Infrared Image Depth Learning Model of Substation Equipment." Journal of Physics: Conference Series 2320, no. 1 (August 1, 2022): 012026. http://dx.doi.org/10.1088/1742-6596/2320/1/012026.
Повний текст джерелаZhang, Yi, Zebin Wu, Jin Sun, Yan Zhang, Yaoqin Zhu, Jun Liu, Qitao Zang, and Antonio Plaza. "A Distributed Parallel Algorithm Based on Low-Rank and Sparse Representation for Anomaly Detection in Hyperspectral Images." Sensors 18, no. 11 (October 25, 2018): 3627. http://dx.doi.org/10.3390/s18113627.
Повний текст джерелаBenatia, Akrem, Weixing Ji, Yizhuo Wang, and Feng Shi. "Sparse matrix partitioning for optimizing SpMV on CPU-GPU heterogeneous platforms." International Journal of High Performance Computing Applications 34, no. 1 (November 14, 2019): 66–80. http://dx.doi.org/10.1177/1094342019886628.
Повний текст джерелаLangr, Daniel, and Ivan Šimeček. "Analysis of Memory Footprints of Sparse Matrices Partitioned Into Uniformly-Sized Blocks." Scalable Computing: Practice and Experience 19, no. 3 (September 14, 2018): 275–92. http://dx.doi.org/10.12694/scpe.v19i3.1358.
Повний текст джерела., V. Kabeer. "SPARSE MATRIX STORAGE USING DECIMAL CODING." International Journal of Research in Engineering and Technology 05, no. 34 (October 25, 2016): 12–15. http://dx.doi.org/10.15623/ijret.2016.0534003.
Повний текст джерелаBani-Ismail, Basel, and Ghassan Kanaan. "Comparing Different Sparse Matrix Storage Structures as Index Structure for Arabic Text Collection." International Journal of Information Retrieval Research 2, no. 2 (April 2012): 52–67. http://dx.doi.org/10.4018/ijirr.2012040105.
Повний текст джерелаWang, Ying, and Korhan Cengiz. "Implementation of the Spark technique in a matrix distributed computing algorithm." Journal of Intelligent Systems 31, no. 1 (January 1, 2022): 660–71. http://dx.doi.org/10.1515/jisys-2022-0051.
Повний текст джерелаEt.al, Sudha Hanumanthu. "Universal Measurement Matrix Design for Sparse and Co-Sparse Signal Recovery." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (April 10, 2021): 404–11. http://dx.doi.org/10.17762/turcomat.v12i6.1407.
Повний текст джерелаGrasedyck, Lars, and Wolfgang Hackbusch. "An Introduction to Hierarchical (H-) Rank and TT-Rank of Tensors with Examples." Computational Methods in Applied Mathematics 11, no. 3 (2011): 291–304. http://dx.doi.org/10.2478/cmam-2011-0016.
Повний текст джерелаSong, Qi, Pu Chen, and Shuli Sun. "Partial Refactorization in Sparse Matrix Solution: A New Possibility for Faster Nonlinear Finite Element Analysis." Mathematical Problems in Engineering 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/403912.
Повний текст джерелаLiu, Sheng, Yasong Cao, and Shuwei Sun. "Mapping and Optimization Method of SpMV on Multi-DSP Accelerator." Electronics 11, no. 22 (November 11, 2022): 3699. http://dx.doi.org/10.3390/electronics11223699.
Повний текст джерелаMukaddes, Abul Mukid Mohammad, Masao Ogino, Ryuji Shioya, and Hiroshi Kanayama. "Treatment of Block-Based Sparse Matrices in Domain Decomposition Method." International Journal of System Modeling and Simulation 2, no. 1 (March 30, 2017): 1. http://dx.doi.org/10.24178/ijsms.2017.2.1.01.
Повний текст джерелаZhou, Huilin, Youwen Liu, Yuhao Wang, Liangbing Chen, and Rongxing Duan. "Nonlinear Electromagnetic Inverse Scattering Imaging Based on IN-LSQR." International Journal of Antennas and Propagation 2018 (August 2, 2018): 1–9. http://dx.doi.org/10.1155/2018/2794646.
Повний текст джерелаZhang, Xu Dong, Jian Ye Yuan, Jing Ping Zhang, and Jian Ying Feng. "Two-Port Characteristic Analysis for Transformers with the Large Scale Windings Based on Sparse Matrix." Advanced Materials Research 986-987 (July 2014): 2035–38. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.2035.
Повний текст джерелаCUI, Hang, Shoichi HIRASAWA, Hiroaki KOBAYASHI, and Hiroyuki TAKIZAWA. "A Machine Learning-Based Approach for Selecting SpMV Kernels and Matrix Storage Formats." IEICE Transactions on Information and Systems E101.D, no. 9 (September 1, 2018): 2307–14. http://dx.doi.org/10.1587/transinf.2017edp7176.
Повний текст джерелаTang, Wai Teng, Wen Jun Tan, Rick Siow Mong Goh, Stephen John Turner, and Weng-Fai Wong. "A Family of Bit-Representation-Optimized Formats for Fast Sparse Matrix-Vector Multiplication on the GPU." IEEE Transactions on Parallel and Distributed Systems 26, no. 9 (September 1, 2015): 2373–85. http://dx.doi.org/10.1109/tpds.2014.2357437.
Повний текст джерелаWang, Pei, Xu Sheng Yang, Zhuo Yuan Wang, Lin Gong Li, Ji Chang He, and Qing Jie Wang. "Solving Large-Scale Asymmetric Sparse Linear Equations Based on SuperLU Algorithm." Advanced Materials Research 230-232 (May 2011): 1355–61. http://dx.doi.org/10.4028/www.scientific.net/amr.230-232.1355.
Повний текст джерелаLu, Xinmiao, Cunfang Yang, Qiong Wu, Jiaxu Wang, Yuhan Wei, Liyu Zhang, Dongyuan Li, and Lanfei Zhao. "Improved Reconstruction Algorithm of Wireless Sensor Network Based on BFGS Quasi-Newton Method." Electronics 12, no. 6 (March 7, 2023): 1267. http://dx.doi.org/10.3390/electronics12061267.
Повний текст джерелаStevanović, Dragoljub, Marko Topalović, and Miroslav Živković. "IMPROVEMENT OF THE SPARSE MATRICES STORAGE ROUTINES FOR LARGE FEM CALCULATIONS." Journal of the Serbian Society for Computational Mechanics 15, no. 1 (November 1, 2021): 81–97. http://dx.doi.org/10.24874/jsscm.2021.15.01.06.
Повний текст джерелаYuhendri, Muldi, Ahyanuardi Ahyanuardi, and Aswardi Aswardi. "Direct Torque Control Strategy of PMSM Employing Ultra Sparse Matrix Converter." International Journal of Power Electronics and Drive Systems (IJPEDS) 9, no. 1 (March 1, 2018): 64. http://dx.doi.org/10.11591/ijpeds.v9.i1.pp64-72.
Повний текст джерелаMukaddes, A. M. M., Masao Ogino, and Ryuji Shioya. "403 A Computational Study of Sparse Matrix Storage Schemes in the Domain Decomposition Method." Proceedings of The Computational Mechanics Conference 2012.25 (2012): 95–96. http://dx.doi.org/10.1299/jsmecmd.2012.25.95.
Повний текст джерелаFernandes, P., and P. Girdinio. "A new storage scheme for an efficient implementation of the sparse matrix-vector product." Parallel Computing 12, no. 3 (December 1989): 327–33. http://dx.doi.org/10.1016/0167-8191(89)90090-2.
Повний текст джерелаKoslowski, T., and W. Von Niessen. "Linear combination of Lanczos vectors: A storage-efficient algorithm for sparse matrix eigenvector computations." Journal of Computational Chemistry 14, no. 7 (July 1993): 769–74. http://dx.doi.org/10.1002/jcc.540140703.
Повний текст джерелаVasco, Don W., John E. Peterson, and Ernest L. Majer. "Resolving seismic anisotropy: Sparse matrix methods for geophysical inverse problems." GEOPHYSICS 63, no. 3 (May 1998): 970–83. http://dx.doi.org/10.1190/1.1444408.
Повний текст джерелаKai, Hong. "Application of Internet of Things Audio Technology Based on Parallel Storage System in Music Classroom." Advances in Multimedia 2022 (September 14, 2022): 1–12. http://dx.doi.org/10.1155/2022/5883238.
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