Artículos de revistas sobre el tema "SpMV Multiplication"
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Giannoula, Christina, Ivan Fernandez, Juan Gómez-Luna, Nectarios Koziris, Georgios Goumas y Onur Mutlu. "Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures". ACM SIGMETRICS Performance Evaluation Review 50, n.º 1 (20 de junio de 2022): 33–34. http://dx.doi.org/10.1145/3547353.3522661.
Texto completoHe, Guixia y Jiaquan Gao. "A Novel CSR-Based Sparse Matrix-Vector Multiplication on GPUs". Mathematical Problems in Engineering 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/8471283.
Texto completoGao, Jiaquan, Yuanshen Zhou y Kesong Wu. "A Novel Multi-GPU Parallel Optimization Model for The Sparse Matrix-Vector Multiplication". Parallel Processing Letters 26, n.º 04 (diciembre de 2016): 1640001. http://dx.doi.org/10.1142/s0129626416400016.
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 completoLiu, Sheng, Yasong Cao y Shuwei Sun. "Mapping and Optimization Method of SpMV on Multi-DSP Accelerator". Electronics 11, n.º 22 (11 de noviembre de 2022): 3699. http://dx.doi.org/10.3390/electronics11223699.
Texto completoAnzt, Hartwig, Stanimire Tomov y Jack Dongarra. "On the performance and energy efficiency of sparse linear algebra on GPUs". International Journal of High Performance Computing Applications 31, n.º 5 (5 de octubre de 2016): 375–90. http://dx.doi.org/10.1177/1094342016672081.
Texto completoLiu, Jie. "Accuracy Controllable SpMV Optimization on GPU". Journal of Physics: Conference Series 2363, n.º 1 (1 de noviembre de 2022): 012008. http://dx.doi.org/10.1088/1742-6596/2363/1/012008.
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 completoGao, Jiaquan, Panpan Qi y Guixia He. "Efficient CSR-Based Sparse Matrix-Vector Multiplication on GPU". Mathematical Problems in Engineering 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/4596943.
Texto completoChen, Shizhao, Jianbin Fang, Chuanfu Xu y Zheng Wang. "Adaptive Hybrid Storage Format for Sparse Matrix–Vector Multiplication on Multi-Core SIMD CPUs". Applied Sciences 12, n.º 19 (29 de septiembre de 2022): 9812. http://dx.doi.org/10.3390/app12199812.
Texto completoWang, Yang, Jie Liu, Xiaoxiong Zhu, Qingyang Zhang, Shengguo Li y Qinglin Wang. "Improving Structured Grid-Based Sparse Matrix-Vector Multiplication and Gauss–Seidel Iteration on GPDSP". Applied Sciences 13, n.º 15 (3 de agosto de 2023): 8952. http://dx.doi.org/10.3390/app13158952.
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 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 completoGiannoula, Christina, Ivan Fernandez, Juan Gómez Luna, Nectarios Koziris, Georgios Goumas y Onur Mutlu. "SparseP". Proceedings of the ACM on Measurement and Analysis of Computing Systems 6, n.º 1 (24 de febrero de 2022): 1–49. http://dx.doi.org/10.1145/3508041.
Texto completoMerrill, Duane y Michael Garland. "Merge-based sparse matrix-vector multiplication (SpMV) using the CSR storage format". ACM SIGPLAN Notices 51, n.º 8 (9 de noviembre de 2016): 1–2. http://dx.doi.org/10.1145/3016078.2851190.
Texto completoMuhammed, Thaha, Rashid Mehmood, Aiiad Albeshri y Iyad Katib. "SURAA: A Novel Method and Tool for Loadbalanced and Coalesced SpMV Computations on GPUs". Applied Sciences 9, n.º 5 (6 de marzo de 2019): 947. http://dx.doi.org/10.3390/app9050947.
Texto completoFagerlund, Olav Aanes, Takeshi Kitayama, Gaku Hashimoto y Hiroshi Okuda. "Effect of GPU Communication-Hiding for SPMV Using OpenACC". International Journal of Computational Methods 13, n.º 02 (marzo de 2016): 1640011. http://dx.doi.org/10.1142/s0219876216400119.
Texto completoGuo, Ping y Liqiang Wang. "Accurate cross-architecture performance modeling for sparse matrix-vector multiplication (SpMV) on GPUs". Concurrency and Computation: Practice and Experience 27, n.º 13 (12 de febrero de 2014): 3281–94. http://dx.doi.org/10.1002/cpe.3217.
Texto completoYu, Yu Fei, Bin Yan, Biao Wang, Lei Li, Yu Han y Xiao Qi Xi. "GPU Accelerated Reconstruction in Compton Scattering Tomography Using Matrix Compression". Applied Mechanics and Materials 519-520 (febrero de 2014): 102–7. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.102.
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 completoBenatia, Akrem, Weixing Ji, Yizhuo Wang y Feng Shi. "Sparse matrix partitioning for optimizing SpMV on CPU-GPU heterogeneous platforms". International Journal of High Performance Computing Applications 34, n.º 1 (14 de noviembre de 2019): 66–80. http://dx.doi.org/10.1177/1094342019886628.
Texto completoFavaro, Federico, Ernesto Dufrechou, Pablo Ezzatti y Juan Pablo Oliver. "Energy-efficient algebra kernels in FPGA for High Performance Computing". Journal of Computer Science and Technology 21, n.º 2 (21 de octubre de 2021): e09. http://dx.doi.org/10.24215/16666038.21.e09.
Texto completoMehta, Mayuri A. y Devesh C. Jinwala. "A Hybrid Dynamic Load Balancing Algorithm for Distributed Systems Using Genetic Algorithms". International Journal of Distributed Systems and Technologies 5, n.º 3 (julio de 2014): 1–23. http://dx.doi.org/10.4018/ijdst.2014070101.
Texto completoWilkinson, Lucas, Kazem Cheshmi y Maryam Mehri Dehnavi. "Register Tiling for Unstructured Sparsity in Neural Network Inference". Proceedings of the ACM on Programming Languages 7, PLDI (6 de junio de 2023): 1995–2020. http://dx.doi.org/10.1145/3591302.
Texto completoErnst, Thomas. "On the q-Lie group of q-Appell polynomial matrices and related factorizations". Special Matrices 6, n.º 1 (1 de febrero de 2018): 93–109. http://dx.doi.org/10.1515/spma-2018-0009.
Texto completoGuzu, D., T. Hoffmann-Ostenhof y A. Laptev. "On a class of sharp multiplicative Hardy inequalities". St. Petersburg Mathematical Journal 32, n.º 3 (11 de mayo de 2021): 523–30. http://dx.doi.org/10.1090/spmj/1659.
Texto completoBakhadly, Bakhad, Alexander Guterman y María Jesús de la Puente. "Orthogonality for (0, −1) tropical normal matrices". Special Matrices 8, n.º 1 (17 de febrero de 2020): 40–60. http://dx.doi.org/10.1515/spma-2020-0006.
Texto completoNikolski, N. y A. Pushnitski. "Szegő-type limit theorems for “multiplicative Toeplitz” operators and non-Følner approximations". St. Petersburg Mathematical Journal 32, n.º 6 (20 de octubre de 2021): 1033–50. http://dx.doi.org/10.1090/spmj/1683.
Texto completoErnst, Thomas. "On the q-exponential of matrix q-Lie algebras". Special Matrices 5, n.º 1 (26 de enero de 2017): 36–50. http://dx.doi.org/10.1515/spma-2017-0003.
Texto completoAlkenani, Ahmad N., Mohammad Ashraf y Aisha Jabeen. "Nonlinear generalized Jordan (σ, Γ)-derivations on triangular algebras". Special Matrices 6, n.º 1 (20 de diciembre de 2017): 216–28. http://dx.doi.org/10.1515/spma-2017-0008.
Texto completoFarooq, Aamir, Mahvish Samar, Rewayat Khan, Hanyu Li y Muhammad Kamran. "Perturbation analysis for the Takagi vector matrix". Special Matrices 10, n.º 1 (3 de julio de 2021): 23–33. http://dx.doi.org/10.1515/spma-2020-0144.
Texto completoWatanabe, Aki, Takayuki Kawaguchi, Mai Sakimoto, Yuya Oikawa, Keiichiro Furuya y Taichi Matsuoka. "Occupational Dysfunction as a Mediator between Recovery Process and Difficulties in Daily Life in Severe and Persistent Mental Illness: A Bayesian Structural Equation Modeling Approach". Occupational Therapy International 2022 (17 de junio de 2022): 1–11. http://dx.doi.org/10.1155/2022/2661585.
Texto completoVan Tran, Nam y Imme van den Berg. "An algebraic model for the propagation of errors in matrix calculus". Special Matrices 8, n.º 1 (5 de marzo de 2020): 68–97. http://dx.doi.org/10.1515/spma-2020-0008.
Texto completoRadzikhovsky, N., I. Sokulskiy y O. Dyshkant. "Pathomorphology of certain organs of immunogenesis by experimental reproduction of coronavirus infection in dogs". Scientific Messenger of LNU of Veterinary Medicine and Biotechnologies 22, n.º 99 (28 de octubre de 2020): 75–79. http://dx.doi.org/10.32718/nvlvet9912.
Texto completoRatnakar, Shashi Kant, Subhajit Sanfui y Deepak Sharma. "Graphics Processing Unit-Based Element-by-Element Strategies for Accelerating Topology Optimization of Three-Dimensional Continuum Structures Using Unstructured All-Hexahedral Mesh". Journal of Computing and Information Science in Engineering 22, n.º 2 (9 de diciembre de 2021). http://dx.doi.org/10.1115/1.4052892.
Texto completoXiao, Guoqing, Chuanghui Yin, Tao Zhou, Xueqi Li, Yuedan Chen y Kenli Li. "A Survey of Accelerating Parallel Sparse Linear Algebra". ACM Computing Surveys, 17 de junio de 2023. http://dx.doi.org/10.1145/3604606.
Texto completoCui, Huanyu, Nianbin Wang, Qilong Han, Ye Wang y Jiahang Li. "A two‐stage parallel method on GPU based on hybrid‐compression‐format for diagonal matrix". Concurrency and Computation: Practice and Experience, 10 de agosto de 2023. http://dx.doi.org/10.1002/cpe.7887.
Texto completoLu, Alec, Zhenman Fang y Lesley Shannon. "Demystifying the Soft and Hardened Memory Systems of Modern FPGAs for Software Programmers through Microbenchmarking". ACM Transactions on Reconfigurable Technology and Systems, 9 de febrero de 2022. http://dx.doi.org/10.1145/3517131.
Texto completoRatnakar, Shashi Kant, Utpal Kiran y Deepak Sharma. "Acceleration of structural topology optimization using symmetric element-by-element strategy for unstructured meshes on GPU". Engineering Computations, 3 de noviembre de 2022. http://dx.doi.org/10.1108/ec-01-2022-0022.
Texto completoAppi Reddy, K. y T. Kurmayya. "Moore-Penrose inverses of Gram matrices leaving a cone invariant in an indefinite inner product space". Special Matrices 3, n.º 1 (10 de enero de 2015). http://dx.doi.org/10.1515/spma-2015-0013.
Texto completoTao, Zhuofu, Chen Wu, Yuan Liang, Kun Wang y Lei He. "LW-GCN: A Lightweight FPGA-based Graph Convolutional Network Accelerator". ACM Transactions on Reconfigurable Technology and Systems, 4 de agosto de 2022. http://dx.doi.org/10.1145/3550075.
Texto completoVerde-Star, Luis. "Elementary triangular matrices and inverses of k-Hessenberg and triangular matrices". Special Matrices 3, n.º 1 (6 de enero de 2015). http://dx.doi.org/10.1515/spma-2015-0025.
Texto completoNazarov, F., V. Vasyunin y A. Volberg. "On a Bellman function associated with the Chang–Wilson–Wolff theorem: a case study". St. Petersburg Mathematical Journal, 27 de junio de 2022. http://dx.doi.org/10.1090/spmj/1719.
Texto completoHilberdink, T. y A. Pushnitski. "Spectral asymptotics for a family of LCM matrices". St. Petersburg Mathematical Journal, 7 de junio de 2023. http://dx.doi.org/10.1090/spmj/1764.
Texto completoBurchard, Luk, Kristian Gregorius Hustad, Johannes Langguth y Xing Cai. "Enabling unstructured-mesh computation on massively tiled AI processors: An example of accelerating in silico cardiac simulation". Frontiers in Physics 11 (30 de marzo de 2023). http://dx.doi.org/10.3389/fphy.2023.979699.
Texto completoPistelli, Laura, Cecilia Noccioli, Francesca D'Angiolillo y Luisa Pistelli. "Composition of volatile in micropropagated and field grown aromatic plants from Tuscany Islands." Acta Biochimica Polonica 60, n.º 1 (25 de febrero de 2013). http://dx.doi.org/10.18388/abp.2013_1949.
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