Analytical modeling of matrix–vector multiplication on multicore processors
Author:
Affiliation:
1. Institute of Radioelectronics and Information Technologies Ural Federal University Ekaterinburg Russia
2. Krasovskii Institute of Mathematics and Mechanics Ural Branch of RAS Ekaterinburg Russia
Publisher
Wiley
Subject
General Engineering,General Mathematics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/mma.7045
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3. KaushikD GroppW MinkoffM SmithB.Improving the Performance of Tensor Matrix Vector Multiplication in Cumulative Reaction Probability Based Quantum Chemistry Codes. In: High Performance Computing ‐ HiPC 2008.Springer Berlin Heidelberg;2008;Berlin Heidelberg:120‐130.
4. AkimovaEN GareevR MisilovVE.Analytical Modeling of Matrix‐Vector Multiplication on Multicore Processors: Solving Inverse Gravimetry Problem. In: 2019 International Multi‐Conference on Engineering Computer and Information Sciences (SIBIRCON);2019:0823‐0827.
5. Effective Implementation of MatrixVector Multiplication on Intel's AVX Multicore Processor;Hassan SA;Comp Lang Sys Struc,2018
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Parallel Direct and Iterative Methods for Solving the Time-Fractional Diffusion Equation on Multicore Processors;Mathematics;2022-01-20
2. Analytical modeling of matrix–vector multiplication on multicore processors;Mathematical Methods in the Applied Sciences;2021-01-14
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