Computational Aspects of GPU-accelerated Sparse Matrix-Vector Multiplication for Solving Markov Models-Reference-Cited by-同舟云学术

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Computational Aspects of GPU-accelerated Sparse Matrix-Vector Multiplication for Solving Markov Models

Published:2011-01-01 Issue:2 Volume:23 Page:
ISSN:1896-5334
Container-title:Theoretical and Applied Informatics
language:
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Author:

Bylina Beata,Bylina Jarosław,Karwacki Marek

Publisher

Institute of Theoretical and Applied Informatics, Polish Academy of Sciences

Link

http://versita.metapress.com/index/C4827Q6836552P23.pdf

Cited by 7 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. Accelerating SpMV Multiplication in Probabilistic Model Checkers Using GPUs;Theoretical Aspects of Computing – ICTAC 2021;2021

2. Parallelization of stochastic bounds for Markov chains on multicore and manycore platforms;The Journal of Supercomputing;2018-01-27

3. Stochastic Bounds for Markov Chains on Intel Xeon Phi Coprocessor;Parallel Processing and Applied Mathematics;2018

4. Explicit Fourth-Order Runge–Kutta Method on Intel Xeon Phi Coprocessor;International Journal of Parallel Programming;2016-09-29

5. Stochastic Bounds for Markov Chains with the Use of GPU;Computer Networks;2015

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