Tall-and-Skinny QR Factorization for Clusters of GPUs Using High-Performance Building Blocks
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50684-0_24
Reference15 articles.
1. Agullo, E., et al.: Numerical linear algebra on emerging architectures: The PLASMA and MAGMA projects, vol. 180 (2009)
2. Anderson, M., Ballard, G., Demmel, J., Keutzer, K.: Communication-avoiding QR decomposition for GPUs. In: 2011 IEEE International Parallel & Distributed Processing Symposium, pp. 48–58 (2011). https://doi.org/10.1109/IPDPS.2011.15
3. Barlow, J., Smoktunowicz, A.: Reorthogonalized block classical gram-Schmidt. Numer. Math. 123(3), 395–423 (2013)
4. Björck, A.: Numerical Methods for Least Squares Problems. SIAM (1996)
5. Buttari, A., Langou, J., Kurzak, J., Dongarra, J.: A class of parallel tiled linear algebra algorithms for multicore architectures. Parallel Comput. 35(1), 38–53 (2009). https://doi.org/10.1016/j.parco.2008.10.002
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