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Alfredo Buttari
CNRS Research Director at IRIT
69
Documents
Presentation
I am currently a CNRS (Centre National de la Recherche Scientifique) research director at the IRIT (Institut de Recherche en Informatique de Toulouse) laboratory in Toulouse (France) where I am a member of the APO (Algorithmes Parallèles et Optimisation). My interest are in High Performance Computing, parallel computing, computational linear algebra (numerical software in general). Here is my CV and a short bio:
- 2021-present: CNRS research director @ IRIT
- 2008-2021: CNRS researcher @ IRIT
- 2018: Habilitation à Diriger des Recherches (manuscript, presentation).
- 2008: post-doc at INRIA Rhone-Alpes in Lyon (France) where I was a member of the Laboratoire de l'Informatique du Parallelisme (LIP).
- 2006-2007: post-doc in the Innovative Computing Laboratory (ICL) lead by Prof. Jack Dongarra at the University of Tennessee Knoxville.
- 2003-2006 Ph.D. at Dipartimento Informatica Sistemi e Produzione of University of Rome "Tor Vergata".
More info on my web page:
https://abuttari.gitlab.io
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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
Conference papers
hal-03922334v1
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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
Conference papers
hal-04178064v1
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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
Conference papers
hal-04093162v1
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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
Conference papers
hal-03922287v1
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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
Conference papers
hal-03887660v1
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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
Conference papers
hal-03783037v1
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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
Conference papers
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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
Conference papers
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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⟩
Conference papers
hal-02129651v1
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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⟩
Conference papers
hal-01337748v1
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3D frequency-domain seismic modeling with a Parallel BLR multifrontal direct solverSEG Annual meeting, Oct 2015, New Orleans, United States. pp.3606-3611
Conference papers
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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⟩
Conference papers
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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⟩
Conference papers
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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
Conference papers
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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. ⟨10.1109/TMAG.2013.2284024⟩
Conference papers
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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⟩
Conference papers
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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
Conference papers
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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⟩
Conference papers
hal-00924638v1
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Improving Multifrontal methods by means of Low-Rank Approximations techniquesSIAM Conference on Applied Linear Algebra 2012, Jun 2012, Valencia, Spain. pp.A1451-A1474, ⟨10.1137/120903476⟩
Conference papers
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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
Conference papers
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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
Conference papers
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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
Conference papers
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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
Conference papers
inria-00580434v1
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Towards a parallel analysis phase for a multifrontal sparse solver5th International Workshop on Parallel Matrix Algorithms and Applications (PMAA 2008), Jun 2008, Neuchâtel, Switzerland
Conference papers
hal-00803488v1
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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⟩
Book sections
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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⟩
Book sections
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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
Book sections
hal-00945083v1
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Overview of MUMPS (A multifrontal Massively Parallel Solver)2008
Other publications
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Does 3D frequency-domain FWI of full-azimuth/long-offset OBN data feasible? The Gorgon case study2023
Preprints, Working Papers, ...
hal-03922986v1
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Communication avoiding block low-rank parallel multifrontal triangular solve with many right-hand sides2023
Preprints, Working Papers, ...
hal-04082415v1
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Adversarial attacks via Sequential Quadratic Programming2022
Preprints, Working Papers, ...
hal-03752184v1
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Adversarial attacks via backward error analysis2021
Preprints, Working Papers, ...
hal-03296180v3
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Five-Precision GMRES-based iterative refinement2021
Preprints, Working Papers, ...
hal-03190686v1
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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
Reports
hal-03588491v2
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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
Reports
hal-01473475v1
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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
Reports
hal-01166312v2
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Improving multifrontal methods by means of block low-rank representations[Research Report] INRIA RR-8199, INRIA. 2013
Reports
hal-00776859v1
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Scalability of parallel sparse direct solvers: methods, memory and performanceDistributed, Parallel, and Cluster Computing [cs.DC]. Toulouse INP, 2018
Habilitation à diriger des recherches
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