Alfredo Buttari
- Algorithmes Parallèles et Optimisation (IRIT-APO)
- Centre National de la Recherche Scientifique (CNRS)
- Institut National Polytechnique (Toulouse) (Toulouse INP)
Présentation
Publications
Publications
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Scalable Domain Decomposition Methods for Large Sparse Linear Systems on Modern ArchitecturesSparse Days 2025, Jun 2025, Toulouse, France |
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Scalable Domain Decomposition Methods for Large Sparse Linear Systems on Modern ArchitecturesCOMPAS 2025 - Conférence francophone d'informatique en Parallélisme, Architecture et Système, Jun 2025, Bordeaux, France |
Recent advances on sparse direct solver using Block Low-Rank and mixed precision for large scale applicationsSIAM Conference on Applied Linear Algebra (LA24), SIAM: Society for Industrial and Applied Mathematics; Sorbonne Universté, May 2024, Paris, France |
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Reducing communications and memory costs of parallel Block Low-Rank solversSIAM Conference on Computational Science and Engineering (CSE 2023), Feb 2023, Amsterdam, Netherlands |
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On the Arithmetic Intensity of Distributed-Memory Dense Matrix Multiplication Involving a Symmetric Input Matrix (SYMM)IPDPS 2023 - 37th International Parallel and Distributed Processing Symposium, IEEE, May 2023, St. Petersburg, FL, United States. pp.357-367 |
Vers un solveur direct à base de tâches pour des systèmes linéaires FEM/BEM creux/densesCOMPAS 2023 - Conférence francophone d'informatique en Parallélisme, Architecture et Système, LISTIC : Laboratoire d’Informatique, Systèmes, Traitement de l’Information et de la Connaissance, de l’Université Savoie Mont Blanc., Jul 2023, Annecy, France |
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Mixed precision sparse direct solver applied to 3D wave propagation8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022), Jun 2022, Oslo, Norway |
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Solving linear systems efficiently using block low-rank compression in mixed precision45ème Congrès National d'Analyse Numérique (CANUM 2022), Jun 2022, Évian-les-Bains, France |
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Solving linear systems efficiently using mixed-precision Block Low-Rank compressionRencontres Arithmétique de l'informatique Mathématique (RAIM 2021), GdR GdR IM : Informatique Mathématique, May 2021, Paris, France |
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Simulation of a Sparse Direct Solver on Heterogeneous Systems using Starpu and SimgridSIAM Conference on Computational Science and Engineering (CSE 2019), Feb 2019, Spokane, United States |
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A Tridiagonalization Method for Symmetric and Quasi-Definite Saddle-Point Systems (CM 2018, Colorado, USA)15th Copper Mountain Conference On Iterative Methods (CM 2018), Front Range Scientific Computations, Inc, Boulder, Colorado; University of Colorado, Sandia National Labs; Emory University; Society for Industrial and Applied Mathematics: SIAM Activity Group on Linear Algebra, Mar 2018, Copper Mountain, Colorado, United States |
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Pre-exascale Architectures: OpenPOWER Performance and Usability Assessment for French Scientific CommunityISC High Performance 2017: High Performance Computing, 2017, Frankfurt, Germany. pp.309-324, ⟨10.1007/978-3-319-67630-2_23⟩ |
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Exploiting a Parametrized Task Graph model for the parallelization of a sparse direct multifrontal solverEuro-Par 2016: Parallel Processing Workshops, Aug 2016, Grenoble, France. ⟨10.1007/978-3-319-58943-5_14⟩ |
3D frequency-domain seismic modeling with a Parallel BLR multifrontal direct solverSEG Annual meeting, Oct 2015, New Orleans, United States. pp.3606-3611 |
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Efficient 3D frequency-domain full-waveform inversion of ocean-bottom cable data with sparse block low-rank direct solver: a real data case study from the North SeaSEG Annual meeting, Oct 2015, New Orleans, United States. pp.1303-1308, ⟨10.1190/segam2015-5713962.1⟩ |
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Task-based multifrontal QR solver for GPU-accelerated multicore architectures22rd IEEE International Conference on High Performance Computing (HiPC 2015), Dec 2015, Bangalore, India. ⟨10.1109/HiPC.2015.27⟩ |
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Fast and Accurate Simulation of Multithreaded Sparse Linear Algebra SolversThe 21st IEEE International Conference on Parallel and Distributed Systems, Dec 2015, Melbourne, Australia |
Shared memory parallelism and low-rank approximation techniques applied to direct solvers in FEM simulation (regular paper)19th IEEE International Conference on the Computation of Electromagnetic Fields (COMPUMAG 2013), International Compumag Society (ICS) Technical Co-Sponsorship - IEEE Magnetics Society, Jun 2013, Budapest, Hungary |
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Multifrontal QR Factorization for Multicore Architectures over Runtime Systems19th International Conference on Parallel Processing (EuroPar 2013), Aug 2013, Aachen, Germany. pp.521-532, ⟨10.1007/978-3-642-40047-6_53⟩ |
3D frequency-domain seismic modeling with a Block Low-Rank algebraic multifrontal direct solverSociety of Exploration Geophysicists annual meeting (SEG 2013), Society of Exploration Geophysicists, 2013, Houston, Texas, United States. ⟨10.1190/segam2013-0603.1⟩ |
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Recent advances in sparse direct solvers22nd International Conference on Structural Mechanics in Reactor Technology (SMiRT 2013), Aug 2013, San Francisco, United States. pp.1-10 |
Improving Multifrontal methods by means of Low-Rank Approximations techniquesSIAM Conference on Applied Linear Algebra 2012, Jun 2012, Valencia, Spain. pp.A1451-A1474 |
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Exploiting Multithreaded Tree Parallelism for Multicore Systems in a Parallel Multifrontal SolverSIAM Conference on Parallel Processing for Scientific Computing (SIAM PP12 2012), Feb 2012, Savannah, GA, United States |
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Robust Memory-Aware Mappings for Parallel Multifrontal FactorizationsSIAM Conference on Parallel Processing for Scientific Computing (SIAM PP 2012), SIAM Activity Group on Supercomputing, Feb 2012, Savannah, Georgia, United States |
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Grouping variables in Frontal Matrices to improve Low-Rank Approximations in a Multifrontal SolverInternational Conference On Preconditioning Techniques For Scientific And Industrial Applications (PRECONDITIONING 2011), INRIA Bordeaux Sud-Ouest; ENSEIRB; University of Bordeaux 1, May 2011, Bordeaux, France |
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A Novel Aggregation Method based on Graph Matching for Algebraic MultiGrid Preconditioning of Sparse Linear SystemsInternational Conference On Preconditioning Techniques For Scientific And Industrial Applications (PRECONDITIONING 2011), INRIA Bordeaux Sud-Ouest; ENSEIRB; University of Bordeaux 1, May 2011, Bordeaux, France |
Towards a parallel analysis phase for a multifrontal sparse solver5th International Workshop on Parallel Matrix Algorithms and Applications (PMAA 2008), Jun 2008, Neuchâtel, Switzerland |
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Multithreading for synchronization tolerance in matrix factorizationSciDAC 2007, 2007, Boston (MA), United States. pp.012028, ⟨10.1088/1742-6596/78/1/012028⟩ |
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Exploiting the performance of 32 bit floating point arithmetic in obtaining 64 bit accuracy (revisiting iterative refinement for linear systems)the 2006 ACM/IEEE conference on Supercomputing, Nov 2006, Tampa, FL, United States. pp.113, ⟨10.1145/1188455.1188573⟩ |
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Extending PSBLAS to Build Parallel Schwarz PreconditionersInternational Workshop on Applied Parallel Computing, 2006, Lyngby, Denmark. pp.593-602, ⟨10.1007/11558958_71⟩ |
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Prospectus for the Next LAPACK and ScaLAPACK LibrariesPARA 2006, 2006, Umea, Sweden. pp.11-23, ⟨10.1007/978-3-540-75755-9_2⟩ |
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FAST-EVP: An Engine Simulation ToolInternational Conference on High Performance Computing and Communications, 2005, Sorrento, Italy. pp.969-978, ⟨10.1007/11557654_108⟩ |
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Block low-rank compression in mixed precision for the solution of sparse linear systemsSparse Days conference 2022, Jun 2022, Saint-Girons, France. |
The minimum degree ordering with dynamical constraintsMarkus Beckers; Johannes Lotz; Viktor Mosenkis; Uwe Naumann. Abstracts of the 5th SIAM Workshop on Combinatorial Scientific Computing, SIAM, pp.36-38, 2011, Technical Report |
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The Multifrontal MethodDavid Padua. Encyclopedia of Parallel Computing, Springer, pp.1209-1216, 2011, 978-0-387-09765-7. ⟨10.1007/978-0-387-09766-4_86⟩ |
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MUMPSDavid Padua. Encyclopedia of Parallel Computing, Springer, pp.1232-1238, 2011, 978-0-387-09766-4. ⟨10.1007/978-0-387-09766-4_204⟩ |
Method for training an artificial intelligence model and associated computer programUnited States, Patent n° : US20250232224A1. 2025 |
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Method, computer program and device for quantizing a deep neural networkUnited States, Patent n° : US 2023/0334301. 2023 |
ETP4HPC SRA 6 White Paper - Mathematical Methods and AlgorithmsAutre publication scientifique hal-04919006v1 |
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ETP4HPC SRA White Paper - Programming EnvironmentAutre publication scientifique hal-04905035v1 |
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Overview of MUMPS (A multifrontal Massively Parallel Solver)2008 |
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Redundant computations in task-based parallelism with applications to communication-reducing algorithms2025 |
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Mixed precision strategies for preconditioned GMRES: a comprehensive analysis2025 |
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Adversarial attacks via Sequential Quadratic Programming2022 |
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Adversarial attacks via backward error analysis2021 |
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Task-Based Parallel Programming for Scalable Algorithms: application to Matrix Multiplication[Research Report] RR-9461, Inria Bordeaux - Sud-Ouest. 2022, pp.29 |
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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 |
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Task-based multifrontal QR solver for GPU-accelerated multicore architectures[Research Report] IRI/RT--2015--02--FR-r1, IRIT, Toulouse. 2015 |
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Improving multifrontal methods by means of block low-rank representations[Research Report] INRIA RR-8199, INRIA. 2013 |
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Scalability of parallel sparse direct solvers: methods, memory and performanceDistributed, Parallel, and Cluster Computing [cs.DC]. Toulouse INP, 2018 |