Threshold Pivoting for Dense LU Factorization
Author:
Affiliation:
1. University of Tennessee,Innovative Computing Laboratory,Knoxville,TN,USA
Funder
National Science Foundation
Office of Science
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10024508/10024500/10024579.pdf?arnumber=10024579
Reference29 articles.
1. Node-Aware Improvements to Allreduce
2. Numerically safe Gaussian elimination with no pivoting
3. Large Growth Factors in Gaussian Elimination with Pivoting
4. Accuracy and Stability of Numerical Algorithms
5. Replacing Pivoting in Distributed Gaussian Elimination with Randomized Techniques
Cited by 1 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. Using Additive Modifications in LU Factorization Instead of Pivoting;Proceedings of the 37th International Conference on Supercomputing;2023-06-21
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