Publications

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Tech Report
Faverge, M., J. Herrmann, J. Langou, B. Lowery, Y. Robert, and J. Dongarra, “Designing LU-QR hybrid solvers for performance and stability,” University of Tennessee Computer Science Technical Report (also LAWN 282), no. ut-eecs-13-719: University of Tennessee, October 2013.  (4.11 MB)
Journal Article
Faverge, M., J. Herrmann, J. Langou, B. Lowery, Y. Robert, and J. Dongarra, “Mixing LU-QR Factorization Algorithms to Design High-Performance Dense Linear Algebra Solvers,” Journal of Parallel and Distributed Computing, vol. 85, pp. 32-46, November 2015.  (5.06 MB)
Conference Paper
Faverge, M., J. Herrmann, J. Langou, B. Lowery, Y. Robert, and J. Dongarra, “Designing LU-QR Hybrid Solvers for Performance and Stability,” IPDPS 2014, Phoenix, AZ, IEEE, May 2014.  (4.2 MB)