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Emmanuel Agullo
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2020 – today
- 2025
- [j20]Franck Cappello, Mario C. Acosta, Emmanuel Agullo, Hartwig Anzt, Jon Calhoun, Sheng Di, Luc Giraud, Thomas Grützmacher, Sian Jin, Kentaro Sano, Kento Sato, Amarjit Singh, Dingwen Tao, Jiannan Tian, Tomohiro Ueno, Robert Underwood, Frédéric Vivien, Xavier Yepes, Kazutomo Yoshii, Boyuan Zhang:
Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. Future Gener. Comput. Syst. 163: 107323 (2025) - 2023
- [j19]Emmanuel Agullo, Alfredo Buttari, Abdou Guermouche, Julien Herrmann, Antoine Jego:
Task-based Parallel Programming for Scalable Matrix Product Algorithms. ACM Trans. Math. Softw. 49(2): 15:1-15:23 (2023) - [c30]Emmanuel Agullo, Alfredo Buttari, Olivier Coulaud, Lionel Eyraud-Dubois, Mathieu Faverge, Alain Franc, Abdou Guermouche, Antoine Jego, Romain Peressoni, Florent Pruvost:
On the Arithmetic Intensity of Distributed-Memory Dense Matrix Multiplication Involving a Symmetric Input Matrix (SYMM). IPDPS 2023: 357-367 - 2022
- [j18]Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M. Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N. Gansterer, Luc Giraud, Dominik Göddeke, Marco Heisig, Fabienne Jézéquel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S. Quintana-Ortí, Francesco Rizzi, Ulrich Rüde, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thönnes, Andreas Wagner, Barbara I. Wohlmuth:
Resiliency in numerical algorithm design for extreme scale simulations. Int. J. High Perform. Comput. Appl. 36(2): 251-285 (2022) - [c29]Emmanuel Agullo, Marek Felsöci, Guillaume Sylvand:
Direct solution of larger coupled sparse/dense linear systems using low-rank compression on single-node multi-core machines in an industrial context. IPDPS 2022: 25-35 - [c28]Charly Castes, Emmanuel Agullo, Olivier Aumage, Emmanuelle Saillard:
Decentralized in-order execution of a sequential task-based code for shared-memory architectures. IPDPS Workshops 2022: 552-561 - [c27]Emmanuel Agullo, Marek Felsöci, Amina Guermouche, Hervé Mathieu, Guillaume Sylvand, Bastien Tagliaro:
Study of the Processor and Memory Power and Energy Consumption of Coupled Sparse/Dense Solvers. SBAC-PAD 2022: 211-220 - 2020
- [j17]Emmanuel Agullo, Siegfried Cools, Emrullah Fatih Yetkin, Luc Giraud, Nick Schenkels, Wim Vanroose:
On Soft Errors in the Conjugate Gradient Method: Sensitivity and Robust Numerical Detection. SIAM J. Sci. Comput. 42(6): C335-C358 (2020) - [i5]Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M. Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N. Gansterer, Luc Giraud, Dominik Göddeke, Marco Heisig, Fabienne Jézéquel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S. Quintana-Ortí, Francesco Rizzi, Ulrich Rüde, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thönnes, Andreas Wagner, Barbara I. Wohlmuth:
Resiliency in Numerical Algorithm Design for Extreme Scale Simulations. CoRR abs/2010.13342 (2020)
2010 – 2019
- 2019
- [j16]Emmanuel Agullo, Luc Giraud, Louis Poirel:
Robust Preconditioners via Generalized Eigenproblems for Hybrid Sparse Linear Solvers. SIAM J. Matrix Anal. Appl. 40(2): 417-439 (2019) - [c26]Emmanuel Agullo, Jesús Cámara, Javier Cuenca, Domingo Giménez:
On the Autotuning of Task-Based Numerical Libraries for Heterogeneous Architectures. PARCO 2019: 157-166 - [c25]Emmanuel Agullo, Luc Giraud, Stéphane Lanteri, Gilles Marait, Anne-Cécile Orgerie, Louis Poirel:
Energy Analysis of a Solver Stack for Frequency-Domain Electromagnetics. PDP 2019: 385-391 - 2018
- [j15]Emmanuel Agullo, Peter Arbenz, Luc Giraud, Olaf Schenk:
Special issue on parallel matrix algorithms and applications (PMAA'16). Parallel Comput. 74: 1-2 (2018) - [j14]Siegfried Cools, Emrullah Fatih Yetkin, Emmanuel Agullo, Luc Giraud, Wim Vanroose:
Analyzing the Effect of Local Rounding Error Propagation on the Maximal Attainable Accuracy of the Pipelined Conjugate Gradient Method. SIAM J. Matrix Anal. Appl. 39(1): 426-450 (2018) - [j13]Emmanuel Agullo, Eric Darve, Luc Giraud, Yuval Harness:
Low-Rank Factorizations in Data Sparse Hierarchical Algorithms for Preconditioning Symmetric Positive Definite Matrices. SIAM J. Matrix Anal. Appl. 39(4): 1701-1725 (2018) - 2017
- [j12]Emmanuel Agullo, Olivier Aumage, Bérenger Bramas, Olivier Coulaud, Samuel Pitoiset:
Bridging the Gap Between OpenMP and Task-Based Runtime Systems for the Fast Multipole Method. IEEE Trans. Parallel Distributed Syst. 28(10): 2794-2807 (2017) - 2016
- [j11]Emmanuel Agullo, Bérenger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Toru Takahashi:
Task-based FMM for heterogeneous architectures. Concurr. Comput. Pract. Exp. 28(9): 2608-2629 (2016) - [j10]Emmanuel Agullo, Luc Giraud, Abdou Guermouche, Jean Roman, Mawussi Zounon:
Numerical recovery strategies for parallel resilient Krylov linear solvers. Numer. Linear Algebra Appl. 23(5): 888-905 (2016) - [j9]Emmanuel Agullo, Patrick R. Amestoy, Alfredo Buttari, Abdou Guermouche, Jean-Yves L'Excellent, François-Henry Rouet:
Robust Memory-Aware Mappings for Parallel Multifrontal Factorizations. SIAM J. Sci. Comput. 38(3) (2016) - [j8]Emmanuel Agullo, Luc Giraud, Pablo Salas, Mawussi Zounon:
Interpolation-Restart Strategies for Resilient Eigensolvers. SIAM J. Sci. Comput. 38(5) (2016) - [j7]Emmanuel Agullo, Alfredo Buttari, Abdou Guermouche, Florent Lopez:
Implementing Multifrontal Sparse Solvers for Multicore Architectures with Sequential Task Flow Runtime Systems. ACM Trans. Math. Softw. 43(2): 13:1-13:22 (2016) - [c24]Siegfried Cools, Wim Vanroose, Emrullah Fatih Yetkin, Emmanuel Agullo, Luc Giraud:
On rounding error resilience, maximal attainable accuracy and parallel performance of the pipelined Conjugate Gradients method for large-scale linear systems in PETSc. EASC 2016: 3:1-3:10 - [c23]Emmanuel Agullo, Luc Giraud, Abdou Guermouche, Stojce Nakov, Jean Roman:
Task-Based Conjugate Gradient: From Multi-GPU Towards Heterogeneous Architectures. Euro-Par Workshops 2016: 69-82 - [c22]Emmanuel Agullo, Luc Giraud, Stojce Nakov:
Task-Based Sparse Hybrid Linear Solver for Distributed Memory Heterogeneous Architectures. Euro-Par Workshops 2016: 83-95 - [c21]Emmanuel Agullo, George Bosilca, Alfredo Buttari, Abdou Guermouche, Florent Lopez:
Exploiting a Parametrized Task Graph Model for the Parallelization of a Sparse Direct Multifrontal Solver. Euro-Par Workshops 2016: 175-186 - [c20]Emmanuel Agullo, Olivier Beaumont, Lionel Eyraud-Dubois, Suraj Kumar:
Are Static Schedules so Bad? A Case Study on Cholesky Factorization. IPDPS 2016: 1021-1030 - [c19]Emmanuel Agullo, Siegfried Cools, Luc Giraud, A. Moreau, Pablo Salas, Wim Vanroose, Emrullah Fatih Yetkin, Mawussi Zounon:
Hard Faults and Soft-Errors: Possible Numerical Remedies in Linear Algebra Solvers. VECPAR 2016: 11-18 - 2015
- [c18]Emmanuel Agullo, Alfredo Buttari, Abdou Guermouche, Florent Lopez:
Task-Based Multifrontal QR Solver for GPU-Accelerated Multicore Architectures. HiPC 2015: 54-63 - [c17]Emmanuel Agullo, Luc Giraud, Mawussi Zounon:
On the Resilience of Parallel Sparse Hybrid Solvers. HiPC 2015: 75-84 - [c16]Luka Stanisic, Emmanuel Agullo, Alfredo Buttari, Abdou Guermouche, Arnaud Legrand, Florent Lopez, Brice Videau:
Fast and Accurate Simulation of Multithreaded Sparse Linear Algebra Solvers. ICPADS 2015: 481-490 - [c15]Emmanuel Agullo, Olivier Beaumont, Lionel Eyraud-Dubois, Julien Herrmann, Suraj Kumar, Loris Marchal, Samuel Thibault:
Bridging the Gap between Performance and Bounds of Cholesky Factorization on Heterogeneous Platforms. IPDPS Workshops 2015: 34-45 - 2014
- [j6]Emmanuel Agullo, Luc Giraud, Yan-Fei Jing:
Block GMRES Method with Inexact Breakdowns and Deflated Restarting. SIAM J. Matrix Anal. Appl. 35(4): 1625-1651 (2014) - [j5]Emmanuel Agullo, Bérenger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Toru Takahashi:
Task-Based FMM for Multicore Architectures. SIAM J. Sci. Comput. 36(1) (2014) - [c14]Lionel Boillot, George Bosilca, Emmanuel Agullo, Henri Calandra:
Task-Based Programming for Seismic Imaging: Preliminary Results. HPCC/CSS/ICESS 2014: 1259-1266 - 2013
- [j4]Emmanuel Agullo, Luc Giraud, Abdou Guermouche, Azzam Haidar, Jean Roman:
Parallel algebraic domain decomposition solver for the solution of augmented systems. Adv. Eng. Softw. 60: 23-30 (2013) - [c13]Emmanuel Agullo, Alfredo Buttari, Abdou Guermouche, Florent Lopez:
Multifrontal QR Factorization for Multicore Architectures over Runtime Systems. Euro-Par 2013: 521-532 - 2012
- [c12]Emmanuel Agullo, George Bosilca, Bérenger Bramas, Cedric Castagnede, Olivier Coulaud, Eric Darve, Jack J. Dongarra, Mathieu Faverge, Nathalie Furmento, Luc Giraud, Xavier Lacoste, Julien Langou, Hatem Ltaief, Matthias Messner, Raymond Namyst, Pierre Ramet, Toru Takahashi, Samuel Thibault, Stanimire Tomov, Ichitaro Yamazaki:
Abstract: Matrices Over Runtime Systems at Exascale. SC Companion 2012: 1330-1331 - [c11]Emmanuel Agullo, George Bosilca, Bérenger Bramas, Cedric Castagnede, Olivier Coulaud, Eric Darve, Jack J. Dongarra, Mathieu Faverge, Nathalie Furmento, Luc Giraud, Xavier Lacoste, Julien Langou, Hatem Ltaief, Matthias Messner, Raymond Namyst, Pierre Ramet, Toru Takahashi, Samuel Thibault, Stanimire Tomov, Ichitaro Yamazaki:
Poster: Matrices over Runtime Systems at Exascale. SC Companion 2012: 1332 - [i4]Emmanuel Agullo, Bérenger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Toru Takahashi:
Pipelining the Fast Multipole Method over a Runtime System. CoRR abs/1206.0115 (2012) - 2011
- [j3]Emmanuel Agullo, Camille Coti, Thomas Hérault, Julien Langou, Sylvain Peyronnet, Ala Rezmerita, Franck Cappello, Jack J. Dongarra:
QCG-OMPI: MPI applications on grids. Future Gener. Comput. Syst. 27(4): 357-369 (2011) - [c10]Emmanuel Agullo, Cédric Augonnet, Jack J. Dongarra, Mathieu Faverge, Julien Langou, Hatem Ltaief, Stanimire Tomov:
LU factorization for accelerator-based systems. AICCSA 2011: 217-224 - [c9]Emmanuel Agullo, Jack J. Dongarra, Rajib Nath, Stanimire Tomov:
A Fully Empirical Autotuned Dense QR Factorization for Multicore Architectures. Euro-Par (2) 2011: 194-205 - [c8]Emmanuel Agullo, Cédric Augonnet, Jack J. Dongarra, Mathieu Faverge, Hatem Ltaief, Samuel Thibault, Stanimire Tomov:
QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators. IPDPS 2011: 932-943 - [i3]Emmanuel Agullo, Jack J. Dongarra, Rajib Nath, Stanimire Tomov:
Fully Empirical Autotuned QR Factorization For Multicore Architectures. CoRR abs/1102.5328 (2011) - 2010
- [j2]Emmanuel Agullo, Abdou Guermouche, Jean-Yves L'Excellent:
Reducing the I/O Volume in Sparse Out-of-core Multifrontal Methods. SIAM J. Sci. Comput. 31(6): 4774-4794 (2010) - [c7]Emmanuel Agullo, Camille Coti, Jack J. Dongarra, Thomas Hérault, Julien Langou:
QR factorization of tall and skinny matrices in a grid computing environment. IPDPS 2010: 1-11 - [c6]Bilel Hadri, Hatem Ltaief, Emmanuel Agullo, Jack J. Dongarra:
Tile QR factorization with parallel panel processing for multicore architectures. IPDPS 2010: 1-10 - [c5]Emmanuel Agullo, Henricus Bouwmeester, Jack J. Dongarra, Jakub Kurzak, Julien Langou, Lee Rosenberg:
Towards an Efficient Tile Matrix Inversion of Symmetric Positive Definite Matrices on Multicore Architectures. VECPAR 2010: 129-138 - [i2]Emmanuel Agullo, Henricus Bouwmeester, Jack J. Dongarra, Jakub Kurzak, Julien Langou, Lee Rosenberg:
Towards an Efficient Tile Matrix Inversion of Symmetric Positive Definite Matrices on Multicore Architectures. CoRR abs/1002.4057 (2010)
2000 – 2009
- 2009
- [c4]Emmanuel Agullo, Bilel Hadri, Hatem Ltaief, Jack J. Dongarra:
Comparative study of one-sided factorizations with multiple software packages on multi-core hardware. SC 2009 - [i1]Emmanuel Agullo, Camille Coti, Jack J. Dongarra, Thomas Hérault, Julien Langou:
QR Factorization of Tall and Skinny Matrices in a Grid Computing Environment. CoRR abs/0912.2572 (2009) - 2008
- [b1]Emmanuel Agullo:
On the Out-Of-Core Factorization of Large Sparse Matrices. (Méthodes directes hors-mémoire (out-of-core) pour la résolution de systèmes linéaires creux de grande taille). École normale supérieure de Lyon, France, 2008 - [j1]Emmanuel Agullo, Abdou Guermouche, Jean-Yves L'Excellent:
A parallel out-of-core multifrontal method: Storage of factors on disk and analysis of models for an out-of-core active memory. Parallel Comput. 34(6-8): 296-317 (2008) - [c3]Emmanuel Agullo, Abdou Guermouche, Jean-Yves L'Excellent:
On the I/O Volume in Out-of-Core Multifrontal Methods with a Flexible Allocation Scheme. VECPAR 2008: 328-335 - 2007
- [c2]Emmanuel Agullo, Abdou Guermouche, Jean-Yves L'Excellent:
Reducing the I/O Volume in an Out-of-Core Sparse Multifrontal Solver. HiPC 2007: 47-58 - 2006
- [c1]Emmanuel Agullo, Abdou Guermouche, Jean-Yves L'Excellent:
A Preliminary Out-of-Core Extension of a Parallel Multifrontal Solver. Euro-Par 2006: 1053-1063
Coauthor Index
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