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Alfredo Buttari
CNRS Research Director at IRIT
32
Documents
Présentation
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
Publications
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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
Communication dans un congrès
hal-03922334v1
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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
Communication dans un congrès
hal-03887660v1
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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
Communication dans un congrès
hal-03922287v1
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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
Communication dans un congrès
hal-03783037v1
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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⟩
Communication dans un congrès
hal-01239896v1
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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
Communication dans un congrès
hal-01237869v1
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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
Communication dans un congrès
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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
Communication dans un congrès
hal-01060301v1
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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⟩
Communication dans un congrès
hal-00924638v1
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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
Communication dans un congrès
hal-00789698v1
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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
Communication dans un congrès
hal-00726644v1
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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
Communication dans un congrès
hal-00789684v1
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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
Communication dans un congrès
inria-00581561v1
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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
Communication dans un congrès
hal-00803488v1
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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⟩
Chapitre d'ouvrage
hal-00787015v1
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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
Chapitre d'ouvrage
hal-00945083v1
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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⟩
Chapitre d'ouvrage
hal-00787042v1
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Overview of MUMPS (A multifrontal Massively Parallel Solver)2008
Autre publication scientifique
hal-00803490v1
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Improving multifrontal methods by means of block low-rank representations[Research Report] INRIA RR-8199, INRIA. 2013
Rapport
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