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Improving Numerical Accuracy for Non-Negative Matrix Multiplication on GPUs using Recursive Algorithms

机译：利用递归算法提高GpU上非负矩阵乘法的数值精度

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Lubomir Bic; Matthew Badin; Michael Dillencourt; Alexandru Nicolau;
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年度 2013
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1. Improving Accuracy for Matrix Multiplications on GPUs [J] . MatthewBadin, LubomirBic, MichaelDillencourt, Scientific programming . 2011,第1期

机译：提高GPU上矩阵乘法的精度
2. Improving accuracy for matrix multiplications on GPUs [J] . Matthew Badin, Lubomir Bic, Michael Dillencourt, Scientific programming . 2011,第1期

机译：提高GPU上矩阵乘法的精度
3. Combining a recursive approach via non-negative matrix factorization and Gini index sparsity to improve reliable detection of wheezing sounds [J] . De La Torre Cruz Juan, Canadas Quesada Francisco Jesus, Carabias Orti Julio Jose, Expert systems with applications . 2020,第Juna期

机译：通过非负矩阵分解和基尼指数稀疏性结合递归方法，以提高喘息声音的可靠性检测
4. Improving Numerical Accuracy for Non-Negative Matrix Multiplication on GPUs using Recursive Algorithms [C] . Matthew Badin, Paolo DAlberto, Lubomir Bic, ACM international conference on supercomputing . 2013

机译：使用递归算法提高GPU上非负矩阵乘法的数值精度
5. An I/O-Complexity Lower Bound for All Recursive Matrix Multiplication Algorithms by Path-Routing [D] . Scott, Jacob N. 2015

机译：所有递归矩阵乘法算法的I / O复杂度下界
6. A unified framework for sparse non-negative least squares using multiplicative updates and the non-negative matrix factorization problem [O] . Igor Fedorov, Alican Nalci, Ritwik Giri, -1

机译：使用乘法更新和非负矩阵分解问题的稀疏非负最小二乘的统一框架
7. Improving Accuracy for Matrix Multiplications on GPUs [O] . Matthew Badin, Lubomir Bic, Michael Dillencourt, 2011

机译：提高GPU矩阵乘法的准确性

Improving Numerical Accuracy for Non-Negative Matrix Multiplication on GPUs using Recursive Algorithms

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