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Showing records 1 - 10 of 12

Lacoste, X., Faverge, M., Ramet, P., Thibault, S., Bosilca, G. "Taking Advantage of Hybrid Systems for Sparse Direct Solvers via Task-Based Runtimes," 23rd International Heterogeneity in Computing Workshop, IPDPS 2014, IEEE, Phoenix, AZ, May, 2014.

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Mathieu Faverge, Julien Herrmann, Julien Langou, Bradley R. Lowery, Yves Robert and Jack Dongarra "Designing LU-QR hybrid solvers for performance and stability," IPDPS'2014 (extended version available as ArXiv 1401.5522), IEEE Computer Science Press, Phoenix, AZ, 2014.

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Dongarra, J., Faverge, M., Ltaief, H., Luszczek, P. "Achieving Numerical Accuracy and High Performance using Recursive Tile LU Factorization," Concurrency and Computation: Practice and Experience, Wiley eds. Wiley, September, 2013.

Simplice Donfack, Jack Dongarra, Mathieu Faverge, Mark Gates, Jakub Kurzak, Piotr Luszczek, and Ichitaro Yamazaki "On Algorithmic Variants of Parallel Gaussian Elimination: Comparison of Implementations in Terms of Performance and Numerical Properties," University of Tennessee Computer Science Technical Report (also LAWN 280), ut-cs-13-715, July, 2013.

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Donfack, S, Dongarra, J., Faverge, M., Gates, M., Kurzak, J., Luszczek, P., Yamazaki, I. "A Survey of Recent Developments in Parallel Implementations of Gaussian Elimination," Concurrency and Computation: Practice and Experience, Wiley eds. July, 2013.

Aupy, G., Faverge, M., Robert, Y., Kurzak, J., Luszczek, P., Dongarra, J. "Implementing a systolic algorithm for QR factorization on multicore clusters with PaRSEC," University of Tennessee Computer Science Technical Report, UT-CS-13-709 (Lawn 277), May, 2013.

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Kurzak, J., Luszczek, P., Faverge, M., Dongarra, J. "Programming the LU Factorization for a Multicore System with Accelerators," Proceedings of VECPAR'12, Kobe, Japan, April, 2012.

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Agullo, E., Augonnet, C., Dongarra, J., Faverge, M., Langou, J., Ltaief, H., Tomov, S. "LU Factorization for Accelerator-based Systems," IEEE/ACS AICCSA 2011, Sharm-El-Sheikh, Egypt, December, 2011.

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Dongarra, J., Faverge, M., Ltaief, H., Luszczek, P. "Achieving Numerical Accuracy and High Performance using Recursive Tile LU Factorization," University of Tennessee Computer Science Technical Report (also as a LAWN), ICL-UT-11-08, September, 2011.

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Agullo, E., Augonnet, C., Dongarra, J., Ltaief, H., Namyst, R., Thibault, S., Tomov, S. "A Hybridization Methodology for High-Performance Linear Algebra Software for GPUs," in GPU Computing Gems, Jade Edition, Hwu, W. eds. Elsevier, 2, 473-484, 2011.


Showing records 1 - 10 of 12

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