Publisher
Springer Science and Business Media LLC
Reference44 articles.
1. Abdelfattah, A., Anzt, H., Boman, E.G., Carson, E., Cojean, T., Dongarra, J., Fox, A., Gates, M., Higham, N.J., Li, X.S., et al.: A survey of numerical linear algebra methods utilizing mixed-precision arithmetic. Int. J. High Perform Comput Appl 35(4), 344–369 (2021). https://doi.org/10.1177/10943420211003313
2. Ahmad, K., Sundar, H., Hall, M.W.: Data-driven mixed precision sparse matrix vector multiplication for GPUs. ACM Trans. Archit. Code Optim. 16, 51:1-51:24 (2019). https://doi.org/10.1145/3371275
3. Amestoy, P., Boiteau, O., Buttari, A., Gerest, M., Jézéquel, F., L’Excellent, J.Y., Mary, T.: Mixed precision low rank approximations and their application to block low rank LU factorization. Int. J. High Perform. Comput. Appl. (2021). https://hal.archives-ouvertes.fr/hal-03251738v1
4. Björck, Å.: A bidiagonalization algorithm for solving large and sparse ill-posed systems of linear equations. BIT Numer. Math. 28(3), 659–670 (1988)
5. Björck, Å.: Numerical Methods for Least Squares Problems. SIAM, Philadelphia (1996)