Publications
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Filters: Author is Mathieu Faverge [Clear All Filters]
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)
“Bidiagonalization and R-Bidiagonalization: Parallel Tiled Algorithms, Critical Paths and Distributed-Memory Implementation,”
IEEE International Parallel and Distributed Processing Symposium (IPDPS), Orlando, FL, IEEE, May 2017.
DOI: 10.1109/IPDPS.2017.46 (328.15 KB)
“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.
DOI: doi:10.1016/j.jpdc.2015.06.007 (5.06 MB)
“Designing LU-QR Hybrid Solvers for Performance and Stability,”
IPDPS 2014, Phoenix, AZ, IEEE, May 2014.
DOI: 10.1109/IPDPS.2014.108 (4.2 MB)
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