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inria-00588898v2  Conference papers
Gaël VaroquauxAlexandre GramfortFabian PedregosaVincent MichelBertrand Thirion. Multi-subject dictionary learning to segment an atlas of brain spontaneous activity
Information Processing in Medical Imaging, Gábor Székely, Horst Hahn, Jul 2011, Kaufbeuren, Germany. pp.562-573, ⟨10.1007/978-3-642-22092-0_46⟩
inria-00589785v2  Journal articles
Rodolphe JenattonAlexandre GramfortVincent MichelGuillaume ObozinskiEvelyn Eger et al.  Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity
SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2012, 5 (3), pp.835-856. ⟨10.1137/110832380⟩
inria-00071968v1  Reports
Abdou GuermoucheJean-Yves l'ExcellentGil Utard. On the Memory Usage of a Parallel Multifrontal Solver
[Research Report] RR-4617, LIP RR-2002-42, INRIA, LIP. 2002
tel-00331935v1  Theses
Luc Buatois. Algorithmes sur GPU de visualisation et de calcul pour des maillages non-structurés
Modélisation et simulation. Institut National Polytechnique de Lorraine - INPL, 2008. Français
tel-00567851v1  Theses
Joaquin Zepeda Salvatierra. New sparse representation methods; application to image compression and indexing
Human-Computer Interaction [cs.HC]. Université Rennes 1, 2010. English
tel-01668740v2  Habilitation à diriger des recherches
Pierre Ramet. Heterogeneous architectures, Hybrid methods, Hierarchical matrices for Sparse Linear Solvers
Distributed, Parallel, and Cluster Computing [cs.DC]. Université de Bordeaux, 2017
inria-00346622v1  Conference papers
Pascal HénonFrançois PellegriniPierre RametJean RomanYousef Saad. High Performance Complete and Incomplete Factorizations for Very Large Sparse Systems by using Scotch and PaStiX softwares
Eleventh SIAM Conference on Parallel Processing for Scientific Computing, 2004, San Francisco, United States
inria-00346621v1  Conference papers
Pascal HénonFrançois PellegriniPierre RametJean Roman. Blocking Issues for an Efficient Parallel Block ILU Preconditioner
International SIAM Conference On Preconditioning Techniques For Large Sparse Matrix Problems In Scientific And Industrial Applications, 2005, Atlanta, United States
inria-00346620v1  Conference papers
Pascal HénonFrançois PellegriniPierre RametJean Roman. Towards High Performance Hybrid Direct-Iterative Solvers for Large Sparse Systems
International SIAM Conference On Preconditioning Techniques For Large Sparse Matrix Problems In Scientific And Industrial Applications, 2003, Napa Valley, United States
hal-01167192v1  Conference papers
Emmanuel SoubiesLaure Blanc-FéraudGilles Aubert. CEL0: a continuous alternative to l0 penalty
Signal Processing with Adaptive Sparse Structured Representations (SPARS), Jul 2015, Cambridge, United Kingdom
hal-00647264v1  Journal articles
Joaquin ZepedaChristine GuillemotEwa Kijak. Image Compression Using Sparse Representations and the Iteration-Tuned and Aligned Dictionary
IEEE Journal of Selected Topics in Signal Processing, IEEE, 2011, 5 (5), pp.1061 -1073
hal-01473475v1  Reports
Emmanuel AgulloAlfredo ButtariMikko BycklingAbdou GuermoucheIan Masliah. Achieving high-performance with a sparse direct solver on Intel KNL
[Research Report] RR-9035, Inria Bordeaux Sud-Ouest; CNRS-IRIT; Intel corporation; Université Bordeaux. 2017, pp.15