Publications
Export 19 results:
Filters: Author is Marc Baboulin [Clear All Filters]
Accelerating Linear System Solutions Using Randomization Techniques,”
INRIA RR-7616 / LAWN #246 (presented at International AMMCS’11), Waterloo, Ontario, Canada, July 2011.
(358.79 KB)
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Towards a High-Performance Tensor Algebra Package for Accelerators
, Gatlinburg, TN, moky Mountains Computational Sciences and Engineering Conference (SMC15), September 2015.
(1.76 MB)

Using dual techniques to derive componentwise and mixed condition numbers for a linear functional of a linear least squares solution,”
University of Tennessee Computer Science Technical Report, UT-CS-08-622 (also LAPACK Working Note 207), January 2008.
(159.65 KB)
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Accelerating Linear System Solutions Using Randomization Techniques,”
ACM Transactions on Mathematical Software (also LAWN 246), vol. 39, issue 2, February 2013.
(358.79 KB)
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A parallel tiled solver for dense symmetric indefinite systems on multicore architectures,”
University of Tennessee Computer Science Technical Report, no. ICL-UT-11-07, October 2011.
(544.2 KB)
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Solving Dense Symmetric Indefinite Systems using GPUs,”
Concurrency and Computation: Practice and Experience, vol. 29, issue 9, March 2017.
(1.94 MB)
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Some Issues in Dense Linear Algebra for Multicore and Special Purpose Architectures,”
University of Tennessee Computer Science Technical Report, UT-CS-08-615 (also LAPACK Working Note 200), January 2008.
(289.93 KB)
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A Parallel Tiled Solver for Symmetric Indefinite Systems On Multicore Architectures,”
IPDPS 2012, Shanghai, China, May 2012.
(544.09 KB)
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Some Issues in Dense Linear Algebra for Multicore and Special Purpose Architectures,”
PARA 2008, 9th International Workshop on State-of-the-Art in Scientific and Parallel Computing, Trondheim Norway, May 2008.
“Dense Symmetric Indefinite Factorization on GPU Accelerated Architectures,”
Lecture Notes in Computer Science, vol. 9573: Springer International Publishing, pp. 86-95, September 2015, 2016.
(327.14 KB)
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Computing the Conditioning of the Components of a Linear Least Squares Solution,”
University of Tennessee Computer Science Technical Report, no. UT-CS-07-604, (also LAPACK Working Note 193), January 2007.
(374.97 KB)
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A Class of Communication-Avoiding Algorithms for Solving General Dense Linear Systems on CPU/GPU Parallel Machines,”
Proc. of the International Conference on Computational Science (ICCS), vol. 9, pp. 17-26, June 2012.
“Accelerating Scientific Computations with Mixed Precision Algorithms,”
Computer Physics Communications, vol. 180, issue 12, pp. 2526-2533, December 2009.
(402.69 KB)
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Computing the Conditioning of the Components of a Linear Least-squares Solution,”
Numerical Linear Algebra with Applications, vol. 16, no. 7, pp. 517-533, 00 2009.
(374.97 KB)
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Computing Least Squares Condition Numbers on Hybrid Multicore/GPU Systems,”
International Interdisciplinary Conference on Applied Mathematics, Modeling and Computational Science (AMMCS), Waterloo, Ontario, CA, August 2014.
(130.18 KB)
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An efficient distributed randomized solver with application to large dense linear systems,”
ICL Technical Report, no. ICL-UT-12-02, July 2012.
(626.26 KB)
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Enhancing the Performance of Dense Linear Algebra Solvers on GPUs (in the MAGMA Project)
, Austin, TX, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC08), November 2008.
(5.28 MB)

Computing the Conditioning of the Components of a Linear Least Squares Solution,”
VECPAR '08, High Performance Computing for Computational Science, Toulouse, France, January 2008.
(374.97 KB)
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An Efficient Distributed Randomized Algorithm for Solving Large Dense Symmetric Indefinite Linear Systems,”
Parallel Computing, vol. 40, issue 7, pp. 213-223, July 2014.
(1.42 MB)
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