Activité de recherche

High performance computing
Numerical validation of scientific applications

Publications 1997-2024

• 2024
  • H. Dorfsman, A. Anciaux‑Sedrakian, Th. Guignon, F. Jézéquel, Th. Mary : “Stratégies de résolutions de systèmes linéaires creux en précision mixte avec BiCGStab”, RAIM 2024 : 15^es Rencontres de l'Arithmétique en Informatique Mathématique, Perpignan, France (2024)
  • S. Graillat, F. Jézéquel, Th. Mary, R. Molina, D. Mukunoki : “Reduced-Precision and Reduced-Exponent Formats for Accelerating Adaptive Precision Sparse Matrix-Vector Product”, Euro-Par 2024: Parallel Processing, vol. 14803, Lecture Notes in Computer Science, Madrid, Spain, pp. 17-30, (Springer Nature Switzerland), (ISBN: 978-3-031-69583-4) (2024)
  • Q. Ferro, S. Graillat, Th. Hilaire, F. Jézéquel : “Auto-ajustement de la précision grâce au logiciel PROMISE”, CANUM 2024, 46^th National Congress on Numerical Analysis, Le-Bois-Plage-en-Ré, France (2024)
  • H. Dorfsman, A. Anciaux‑Sedrakian, Th. Guignon, F. Jézéquel, Th. Mary : “Stratégies de résolutions de systèmes linéaires creux en précision mixte avec BiCGStab”, CANUM 2024 - 46^th National Congress on Numerical Analysis, Le-Bois-Plage-en-Ré, France (2024)
  • H. Dorfsman, A. Anciaux‑Sedrakian, Th. Guignon, F. Jézéquel, Th. Mary : “Mixed Precision Strategies for Solving Sparse Linear Systems with Bicgstab”, SIAM LA24, Paris, France (2024)
  • P. Amestoy, O. Boiteau, A. Buttari, L. Combe, F. Faucher, M. Gerest, F. Jézéquel, J.‑Y. L'Excellent, Th. Mary, S. Operto, Ch. Puglisi : “Recent advances on sparse direct solver using Block Low-Rank and mixed precision for large scale applications”, SIAM Conference on Applied Linear Algebra (LA24), Paris, France (2024)
  • F. Jézéquel, Th. Mary : “Probabilistic estimation of the accuracy of inner products and application to stochastic validation”, (2024)
  • P. Amestoy, O. Boiteau, A. Buttari, M. Gerest, F. Jézéquel, J.‑Y. L’excellent, Th. Mary : “Communication Avoiding Block Low-Rank Parallel Multifrontal Triangular Solve with Many Right-Hand Sides”, SIAM Journal on Matrix Analysis and Applications, vol. 45 (1), pp. 148-166, (Society for Industrial and Applied Mathematics) (2024)
  • R. Molina, V. Lafage, D. Chamont, F. Jézéquel : “Investigating mixed-precision for AGATA pulse-shape analysis”, EPJ Web of Conferences, vol. 295, Norfolk, VA, United States, pp. 03020 (2024)
  • S. Graillat, F. Jézéquel, Th. Mary, R. Molina : “Adaptive precision sparse matrix-vector product and its application to Krylov solvers”, SIAM Journal on Scientific Computing, vol. 46 (1), pp. c30-c56, (Society for Industrial and Applied Mathematics) (2024)
• 2023
  • Q. Ferro, S. Graillat, Th. Hilaire, F. Jézéquel : “Performance of precision auto-tuned neural networks”, MCSoC 2023 (16^th IEEE International Symposium on Embedded Multicore/Manycore Systems-on-Chip), special session POAT (Performance Optimization and Auto-Tuning of Software on Multicore/Manycore Systems), Singapore, Singapore (2023)
  • S. Graillat, F. Jézéquel, Th. Mary, R. Molina, D. Mukunoki : “Performance Evaluation of Adaptive-Precision SpMV with Reduced-Precision Formats”, (2023)
  • Q. Ferro, S. Graillat, Th. Hilaire, F. Jézéquel : “Precision Auto-Tuning of High-Performance Neural Networks”, European Conference on Numerical Mathematics and Advanced Applications (ENUMATH), minisymposium "Mixed Precision Computations in Theory and Practice", Lisbon, Portugal (2023)
  • R. Molina, S. Graillat, F. Jézéquel, Th. Mary : “Adaptive Precision Sparse Matrix–Vector Product and its Application to Krylov Solvers”, International Congress on Industrial and Applied Mathematics (ICIAM 2023), Tokyo (Japan), Japan (2023)
  • Q. Ferro, S. Graillat, Th. Hilaire, F. Jézéquel : “Precision auto-tuning using stochastic arithmetic”, 10^th International Congress on Industrial and Applied Mathematics (ICIAM), minisymposium ``Exploring Arithmetic and Data Representation Beyond the Standard in HPC”, Tokyo, Japan (2023)
  • R. Molina, S. Graillat, F. Jézéquel, Th. Mary : “Adaptive Precision Sparse Iterative Solvers”, SIAM Conference on Computational Science and Engineering (CSE23), Amsterdam, Netherlands (2023)
  • P. Amestoy, O. Boiteau, A. Buttari, M. Gerest, F. Jézéquel, J.‑Y. L'Excellent, Th. Mary : “Reducing communications and memory costs of parallel Block Low-Rank solvers”, SIAM Conference on Computational Science and Engineering (CSE 2023), Amsterdam, Netherlands (2023)
• 2022
  • R. Molina, S. Graillat, F. Jézéquel, Th. Mary : “Adaptive Precision Sparse Matrix-Vector Product and its application to Krylov Solvers”, 13<sup>e</sup>s Rencontres Arithmétique de l'Informatique Mathématique (RAIM 2022), Nantes, France (2022)
  • Q. Ferro, S. Graillat, Th. Hilaire, F. Jézéquel, B. Lewandowski : “Neural Network Precision Tuning Using Stochastic Arithmetic”, RAIM 2022 : 13<sup>e</sup>s Rencontres Arithmétique de l'Informatique Mathématique, Nantes, France (2022)
  • P. Amestoy, O. Boiteau, A. Buttari, M. Gerest, F. Jézéquel, J.‑Y. L'Excellent, Th. Mary : “Mixed Precision Low Rank Approximations and their Application to Block Low Rank LU Factorization”, IMA Journal of Numerical Analysis, (Oxford University Press (OUP)) (2022)
  • Q. Ferro, S. Graillat, Th. Hilaire, F. Jézéquel, B. Lewandowski : “Neural Network Precision Tuning Using Stochastic Arithmetic”, NSV'22, 15<sup>th</sup> International Workshop on Numerical Software Verification,, Haifa, Israel (2022)
  • R. Molina, S. Graillat, F. Jézéquel, Th. Mary : “Adaptive Precision Sparse Matrix-Vector Product and its Application to Krylov Solvers”, Sparse Days Meeting 2022, Saint-Girons, France (2022)
  • M. Gerest, P. Amestoy, O. Boiteau, A. Buttari, F. Jézéquel, J.‑Y. L'Excellent, Th. Mary : “Block low-rank compression in mixed precision for the solution of sparse linear systems”, Sparse Days conference 2022, Saint-Girons, France (2022)
  • Q. Ferro, S. Graillat, Th. Hilaire, F. Jézéquel, B. Lewandowski : “Neural Network Precision Tuning Using Stochastic Arithmetic”, Sparse Days conference, Saint-Girons, France (2022)
  • D. Mukunoki, R. Iakymchuk, F. Jézéquel, K. Ozaki, T. Ogita, T. Imamura : “Remedies for Reproducibility Issue in Conjugate Gradient Solvers”, Sparse Days conference, Saint-Girons, France (2022)
  • P. Amestoy, O. Boiteau, A. Buttari, M. Gerest, F. Jézéquel, J.‑Y. L'Excellent, Th. Mary : “Solving linear systems efficiently using block low-rank compression in mixed precision”, 45<sup>e</sup> Congrès National d'Analyse Numérique (CANUM 2022), Évian-les-Bains, France (2022)
• 2021
  • S. Graillat, F. Jézéquel, E. Queiros Martins, M. Spyropoulos : “Computing multiple roots of polynomials in stochastic arithmetic with Newton method and approximate GCD”, International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2021), Timisoara, Romania (2021)
  • E. Agullo, M. Altenbernd, H. Anzt, L. Bautista‑Gomez, T. Benacchio, L. Bonaventura, H.‑J. Bungartz, S. Chatterjee, F. Ciorba, N. Debardeleben, D. Drzisga, S. Eibl, Ch. Engelmann, W. Gansterer, L. Giraud, D. Göddeke, M. Heisig, F. Jézéquel, N. Kohl, Sh. Xiaoye, R. Lion, M. Mehl, P. Mycek, M. Obersteiner, E. Quintana‑Ortí, F. Rizzi, U. Rüde, M. Schulz, F. Fung, R. Speck, L. Stals, K. Teranishi, S. Thibault, D. Thönnes, A. Wagner, B. Wohlmuth : “Resiliency in numerical algorithm design for extreme scale simulations”, International Journal of High Performance Computing Applications, pp. 10943420211055188, (SAGE Publications) (2021)
  • F. Jézéquel : “Benefits of stochastic arithmetic in high performance simulations and arbitrary precision codes”, 19<sup>th</sup> international symposium on Scientific Computing, Computer Arithmetic and Validated Numerics (SCAN 2020), Szeged, Hungary (2021)
  • P. Amestoy, O. Boiteau, A. Buttari, M. Gerest, F. Jézéquel, J.‑Y. L'Excellent, Th. Mary : “Solving linear systems efficiently using mixed-precision Block Low-Rank compression”, Rencontres Arithmétique de l'informatique Mathématique (RAIM 2021), Paris, France (2021)
  • F. Jézéquel, S. Graillat, D. Mukunoki, T. Imamura, R. Iakymchuk : “Fast rounding error estimation for compute-intensive operations using standard floating-point arithmetic”, RAIM (Rencontres Arithmétiques de l'Informatique Mathématique), Paris, France (2021)
  • F. Jézéquel, S. Sadat Hoseininasab, Th. Hilaire : “Numerical validation of half precision simulations”, RAIM (Rencontres Arithmétiques de l'Informatique Mathématique), Paris, France (2021)
  • F. Jézéquel : “Precision auto-tuning and control of accuracy in high performance simulations”, SIAM Conference on Applied Linear Algebra (LA21), mini-symposium "Sustainable and Robust Linear Algebra Computations at Exascale", New Orleans, Louisiana, United States (2021)
  • F. Jézéquel, S. Sadat Hoseininasab, Th. Hilaire : “Numerical validation of half precision simulations”, 1<sup>st</sup> Workshop on Code Quality and Security (CQS 2021) in conjunction with WorldCIST'21 (9<sup>th</sup> World Conference on Information Systems and Technologies), Terceira Island, Azores, Portugal (2021)
• 2020
  • S. Graillat, F. Jézéquel : “Tight interval inclusions with compensated algorithms”, IEEE Transactions on Computers, vol. 69 (12), pp. 1774-1783, (Institute of Electrical and Electronics Engineers) (2020)
  • F. Jézéquel, S. Graillat, D. Mukunoki, T. Imamura, R. Iakymchuk : “Can we avoid rounding-error estimation in HPC codes and still get trustworthy results?”, Lecture Notes in Computer Science, Los Angeles, CA, United States (2020)
  • R. Iakymchuk, D. Mukunoki, A. Podobas, F. Jézéquel, T. Imamura, N. Fujita, J. Huthmann, Sh. Kudo, Y. Tan, J. Domke, K. Ohlhus, T. Fukaya, T. Hoshi, Y. Murakami, M. Nakata, T. Ogita, K. Sano, T. Boku : “White Paper from the Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing”, (2020)
  • F. Jézéquel, S. Graillat, D. Mukunoki, T. Imamura, R. Iakymchuk : “Can we avoid rounding-error estimation in HPC codes and still get trustful results?”, (2020)
  • T. Boku, N. Fujita, S. Graillat, J. Huthmann, R. Iakymchuk, T. Imamura, F. Jézéquel, A. Koshiba, D. Mukunoki, K. Sano, Y. Tan : “Minimal-Precision Computing for High-Performance, Energy-Efficient, and Reliable Computations”, 2<sup>nd</sup> R-CCS international symposium, K to Fugaku: Simulation, Big Data and AI supporting Society 5.0, Kobe, Japan (2020)
  • R. Iakymchuk, S. Graillat, F. Jézéquel, D. Mukunoki, T. Imamura, Y. Tan, A. Koshiba, J. Huthmann, K. Sano, N. Fujita, T. Boku : “Optimizing Precision for High-Performance, Robust, and Energy-Efficient Computations”, International Conference on High Performance Computing in Asia-Pacific Region,, Fukuoka, Japan (2020)
• 2019
  • T. Boku, N. Fujita, S. Graillat, J. Huthmann, R. Iakymchuk, T. Imamura, F. Jézéquel, A. Koshiba, D. Mukunoki, K. Sano, Y. Tan : “Minimal-Precision Computing for High-Performance, Energy-Efficient, and Reliable Computations”, International Conference on High Performance Computing, Networking, Storage and Analysis (SC19), Denver, United States (2019)
  • T. Imamura, D. Mukunoki, R. Iakymchuk, F. Jézéquel, S. Graillat : “Numerical Reproducibility based on Minimal-Precision Validation”, Computational Reproducibility at Exascale Workshop (CRE2019), in conjunction with the International Conference on High Performance Computing, Networking, Storage and Analysis (SC19), Denver, United States (2019)
  • D. Mukunoki, I. Toshiyuki, Y. Tan, A. Koshiba, J. Huthmann, K. Sano, F. Jézéquel, S. Graillat, R. Iakymchuk, N. Fujita, T. Boku : “Minimal-Precision Computing for High-Performance, Energy-Efficient, and Reliable Computations”, France-Japan-Germany trilateral workshop: Convergence of HPC and Data Science for Future Extreme Scale Intelligent Applications, Tokyo, Japan (2019)
  • S. Graillat, F. Jézéquel, R. Picot, F. Févotte, B. Lathuilière : “Auto-tuning for floating-point precision with Discrete Stochastic Arithmetic”, Journal of computational science, vol. 36, pp. 101017, (Elsevier) (2019)
• 2018
  • S. Graillat, F. Jézéquel : “Tight interval inclusions with compensated algorithms”, 18<sup>th</sup> international symposium on Scientific Computing, Computer Arithmetic and Validated Numerics (SCAN 2018), 18<sup>th</sup> international symposium on Scientific Computing, Computer Arithmetic and Validated Numerics (SCAN 2018), Book of Abstracts, Tokyo, Japan, pp. 86-87 (2018)
  • S. Graillat, F. Jézéquel, R. Picot : “Numerical Validation of Compensated Algorithms with Stochastic Arithmetic”, Applied Mathematics and Computation, vol. 329, pp. 339-363, (Elsevier) (2018)
  • P. Eberhart, B. Landreau, J. Brajard, P. Fortin, F. Jézéquel : “Improving CADNA Performance on GPUs”, 19<sup>th</sup> IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC) in conjunction with the 32<sup>nd</sup> International Parallel and Distributed Processing Symposium (IPDPS), Vancouver, Canada, pp. 1016-1025, (IEEE) (2018)
  • S. Graillat, F. Jézéquel, R. Picot, F. Févotte, B. Lathuilière : “Numerical validation in quadruple precision using stochastic arithmetic”, TNC'18. Trusted Numerical Computations, vol. 8, Kalpa Publications in Computing, Krakow, Poland, pp. 38-53, (EasyChair) (2018)
• 2016
  • S. Graillat, F. Jézéquel, M. Ibrahim : “Dynamical control of Newton’s method for multiple roots of polynomials”, Reliable Computing Journal, vol. 21 (2016)
  • S. Graillat, F. Jézéquel, R. Picot, F. Févotte, B. Lathuilière : “PROMISE: floating-point precision tuning with stochastic arithmetic”, 17<sup>th</sup> international symposium on Scientific Computing, Computer Arithmetic and Verified Numerics (SCAN 2016), UPPSALA, Sweden, pp. 98-99 (2016)
  • F. Jézéquel, J.‑L. Lamotte, I. Said : “Estimation de la reproductibilité numérique dans les environnements hybrides CPU-GPU”, CANUM, mini-symposium ``Recherche reproductible'', Obernai, France (2016)
  • P. Eberhart, J. Brajard, P. Fortin, F. Jézéquel : “Estimation of Round-off Errors in OpenMP Codes”, IWOMP 2016 - 12^th International Workshop on OpenMP, vol. 9903, Lecture Notes in Computer Science, Nara, Japan, pp. 3-16, (Springer International Publishing) (2016)
• 2015
  • P. Eberhart, J. Brajard, P. Fortin, F. Jézéquel : “High Performance Numerical Validation using Stochastic Arithmetic”, Reliable Computing, vol. 21, pp. 35-52, (Springer Verlag) (2015)
  • S. Graillat, F. Jézéquel, R. Picot : “Numerical Validation of Compensated Summation Algorithms with Stochastic Arithmetic”, 8^th International Workshop on Numerical Software Verification, NSV 2015, vol. 317, Electronic Notes in Theoretical Computer Science, Seattle, United States, pp. 55-69, (Elsevier) (2015)
  • F. Jézéquel, J.‑L. Lamotte, I. Said : “Estimation of numerical reproducibility on CPU and GPU”, 8^th Workshop on Computer Aspects of Numerical Algorithms (CANA), Federated Conference on Computer Science and Information Systems (FedCSIS), Lodz, Poland, pp. 687-692 (2015)
• 2014
  • P. Eberhart, J. Brajard, P. Fortin, F. Jézéquel : “Towards high performance stochastic arithmetic”, 16^th international symposium on Scientific Computing, Computer Arithmetic and Validated Numerics (SCAN 2014), Würzburg, Germany, pp. 47-48 (2014)
  • F. Jézéquel, Ph. Langlois, N. Revol : “First steps towards more numerical reproducibility”, ESAIM: Proceedings and Surveys, vol. 45, ESAIM: Proceedings and Surveys, pp. 229-238, (EDP Sciences) (2014)
  • M. Madec, F. Pêcheux, F. Jézéquel, Y. Gendrault, Ch. Lallement, J. Haiech : “Opportunities and challenges for the virtual prototyping of synthetic biological functions”, IEEE International Symposium on Circuits And Systems, ISCAS 2014, Melbourne, Australia, pp. 2013-2016, (IEEE) (2014)
• 2013
  • F. Langrognet, F. Jézéquel, N. Revol : “JDEV 2013 : Développer pour Calculer : Des outils pour calculer avec précision & Comment calculer avec des intervalles”, High-Performance Computing Magazine, pp. 1-5, (HPC Médias) (2013)
  • J. Brajard, P. LI, F. Jézéquel, H.‑S. Benavidès Pinjosovsky, S. Thiria : “Numerical Validation of Data Assimilation Codes Generated by the YAO Software”, SIAM Annual Meeting, San Diego, CA, United States (2013)
  • F. Jézéquel, J.‑L. Lamotte, I. Said : “Validation numérique de codes scientifiques sur GPU”, Congrès SMAI, Biennale Française des Mathématiques Appliquées et Industrielles, mini-symposium ``Etapes vers la reproductibilité numérique des calculs'', Seignosse, France, pp. 178-179 (2013)
  • F. Jézéquel, J.‑L. Lamotte, O. Chubach : “Parallelization of Discrete Stochastic Arithmetic on multicore architectures”, 10<sup>th</sup> International Conference on Information Technology: New Generations, ITNG 2013, Las Vegas, Nevada, United States, pp. 160-166, (IEEE) (2013)
  • P. Fortin, R. HABEL, F. Jézéquel, J.‑L. Lamotte, N. Scott : “Numerical validation and performance optimization on GPUs of an application in atomic physics”, chapter in Designing Scientific Applications on GPUs, pp. 369-414, (Chapman & Hall/CRC) (2013)
• 2012
  • N. Scott, M. Penny Scott, F. Jézéquel : “Ixaru’s extended frequency dependent quadrature rules for Slater integrals: parallel computation issues”, symposium on ``Numerical methods and computational procedures for special problems in physics and chemistry'', part of the International Conference of Numerical Analysis and Applied Mathematics (ICNAAM), vol. 1479, AIP Conference Proceedings, Kos, Greece, pp. 1208-1211, (American Institute of Physics) (2012)
  • F. Jézéquel, R. Couturier, Ch. Denis : “Solving large sparse linear systems in a grid environment: the GREMLINS code versus the PETSc library”, Journal of Supercomputing, vol. 59 (3), pp. 1517-1532, (Springer Verlag) (2012)
• 2011
  • S. Graillat, F. Jézéquel, Sh. Wang, Y. Zhu : “Stochastic Arithmetic in Multiprecision”, Mathematics in Computer Science, vol. 5 (4), pp. 359-375, (Springer) (2011)
  • P. Fortin, R. HABEL, F. Jézéquel, J.‑L. Lamotte, N. Scott : “Deployment on GPUs of an application in computational atomic physics”, 12^th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC) in conjunction with the 25^th International Parallel and Distributed Processing Symposium (IPDPS), Anchorage, Alaska, United States, pp. 1359-1366, (IEEE) (2011)
• 2010
  • F. Jézéquel, J.‑M. Chesneaux, J.‑L. Lamotte : “A new version of the CADNA library for estimating round-off error propagation in Fortran programs”, Computer Physics Communications, vol. 181 (11), pp. 1927-1928, (Elsevier) (2010)
  • J.‑L. Lamotte, J.‑M. Chesneaux, F. Jézéquel : “CADNA_C: A version of CADNA for use with C or C++ programs”, Computer Physics Communications, vol. 181 (11), pp. 1925-1926, (Elsevier) (2010)
  • F. Jézéquel, J.‑L. Lamotte : “Numerical validation of Slater integrals computation on GPU”, 14^th international symposium on Scientific Computing, Computer Arithmetic and Validated Numerics (SCAN 2010), Lyon, France, pp. 78-79 (2010)
  • S. Graillat, F. Jézéquel, Y. Zhu : “SAM: a multiprecision stochastic arithmetic library”, 14^th international symposium on Scientific Computing, Computer Arithmetic and Validated Numerics (SCAN 2010), Lyon, France, pp. 70-71 (2010)
  • S. Graillat, F. Jézéquel, Y. Zhu : “Stochastic Arithmetic in Multiprecision”, Third International Workshop on Numerical Software Verification (NSV-3), part of Federated Logic Conference (FLoC), Edinburgh, United Kingdom (2010)
  • R. Couturier, F. Jézéquel : “Solving large sparse linear systems in a grid environment using Java”, PDSEC'10, 11^th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing, joint to IPDPS'10, 24^th ACM/IEEE International Parallel and Distributed Processing Symposium, Atlanta, United States, pp. 1-7, (IEEE) (2010)
• 2009
  • F. Jézéquel, Ch. Denis, Ph. Trébuchet : “Reliable numerical evaluation of eigenvalues involved in polynomial systems solving”, Computer-assisted proofs - tools, methods and applications, Dagstuhl, Germany (2009)
  • Ch. Denis, R. Couturier, F. Jézéquel : “A sparse linear system solver used in a distributed and heterogeneous grid computing environment”, chapter in Parallel Scientific Computing and Optimization, vol. 27, Springer Optimization and Its Applications, pp. 47-56, (Springer) (2009)
  • J.‑M. Chesneaux, S. Graillat, F. Jézéquel : “Rounding errors”, chapter in Wiley Encyclopedia of Computer Science and Engineering (Benjamin Wah, ed.), vol. 4, pp. 2490-2494, (ISBN: 978-0-471-38393-2) (2009)
  • J.‑M. Chesneaux, F. Jézéquel, J.‑L. Lamotte : “Stochastic arithmetic and verification of mathematical models”, chapter in Uncertainties in environmental modelling and consequences for policy making, pp. 101-125, (Springer) (2009)
• 2008
  • Ch. Denis, F. Jézéquel : “Numerical validation of eigenvalues computation in solving polynomial systems”, Proceedings of the 8^th Real Numbers and Computers conference, Santiago de Compostela, Spain, pp. 123-131 (2008)
  • F. Jézéquel, J.‑M. Chesneaux : “CADNA: a library for estimating round-off error propagation”, Computer Physics Communications, vol. 178 (12), pp. 933-955, (Elsevier) (2008)
  • N. Scott, V. Faro‑Maza, M. Penny Scott, T. Harmer, J.‑M. Chesneaux, Ch. Denis, F. Jézéquel : “E-collisions using e-science”, Physics of Particles and Nuclei Letters [PisВ'ma v Zhurnal Fizika Elementarnykh Chastits i Atomnogo Yadra / Pisʹma v žurnal "Fizika èlementarnyh častic i atomnogo âdra"], vol. 5 (3), pp. 150-156, (MAIK Nauka/Interperiodica ; Pleiades Publishing [2007-....]) (2008)
  • R. Couturier, Ch. Denis, F. Jézéquel : “GREMLINS: a large sparse linear solver for grid environment”, Parallel Computing, vol. 34 (6-8), pp. 380-391, (Elsevier) (2008)
• 2007
  • Ch. Denis, F. Jézéquel, N. Scott : “High Performance Computation: numerical music or numerical noise?”, Proceedings of the 8^th HERCMA (Hellenic European Research on Computer Mathematics and its Applications) conference, Athens, Greece, pp. 1-8 (2007)
  • N. Scott, F. Jézéquel, Ch. Denis, J.‑M. Chesneaux : “Numerical ’health check’ for scientific codes: the CADNA approach”, Computer Physics Communications, vol. 176 (8), pp. 507-521, (Elsevier) (2007)
• 2006
  • N. Scott, Liviu Gr. Ixaru, Ch. Denis, F. Jézéquel, J.‑M. Chesneaux, M. Penny Scott : “High performance computation and numerical validation of e-collision software”, International Conference of Computational Methods in Sciences and Engineering 2006 (ICCMSE 2006), vol. 6, Lecture Series on Computer and Computational Sciences, Chania, Crete, Greece, pp. 561-570, (CRC Press) (2006)
  • J.‑M. Chesneaux, Ch. Denis, F. Jézéquel, N. Scott : “Dynamical strategies for the computation of integrals: an example from the CPC library”, Proc. SCAN2006 conference, Duisburg, Germany, pp. 41-42 (2006)
  • S. Contassot‑Vivier, R. Couturier, Ch. Denis, F. Jézéquel : “Efficiently solving large sparse linear systems on a distributed and heterogeneous grid by using the multisplitting-direct method”, Proc. 4^th International Workshop on Parallel Matrix Algorithms and Applications, PMAA'06, Rennes, France, pp. 1-2 (2006)
  • N. Scott, V. Faro‑Maza, M. Penny Scott, T. Harmer, J.‑M. Chesneaux, F. Jézéquel, Ch. Denis : “e-Collisions Using e-Science”, Mathematical Modeling and Computational Physics, High Tatra Mountains, Slovakia (2006)
  • F. Jézéquel : “A dynamical strategy for approximation methods”, Comptes Rendus Mécanique, vol. 334 (6), pp. 362-367, (Elsevier) (2006)
  • F. Jézéquel, F. Rico, J.‑M. Chesneaux, M. Charikhi : “Reliable computation of a multiple integral involved in the neutron star theory”, Mathematics and Computers in Simulation, vol. 71 (1), pp. 44-61, (Elsevier) (2006)
  • F. Jézéquel : “Dynamical strategies using Discrete Stochastic Arithmetic for approximation methods”, (2006)
• 2005
  • F. Jezequel : “Contrôle dynamique de méthodes d’approximation”, habilitation à diriger des recherches, soutenance 10/02/2005 (2005)
  • R. Adout, J.‑M. Chesneaux, F. Jézéquel : “Dynamical choice of the Krylov subspace dimension in the GMRES method”, 17^th IMACS World Congress on Scientific Computation, Applied Mathematics and Simulation, Paris, France (2005)
  • F. Jézéquel : “Dynamical control of approximation methods”, 2^nd International Workshop on Combinatorial Scientific Computing (CSC05), Toulouse, France (2005)
• 2004
  • R. Adout, J.‑M. Chesneaux, F. Jézéquel : “A reliable hybrid extrapolation algorithm to accelerate the restarted GMRES method”, SCAN 2004 - 11^th GAMM - IMACS International Symposium on Scientific Computing, Computer Arithmetic, and Validated Numerics, Fukuoka, Japan, pp. 28-28 (2004)
  • F. Jézéquel : “Dynamical control of converging sequences computation”, Applied Numerical Mathematics: an IMACS journal, vol. 50 (2), pp. 147-164, (Elsevier) (2004)
  • F. Jézéquel, J.‑M. Chesneaux : “Computation of an infinite integral using Romberg’s method”, Numerical Algorithms, vol. 36 (3), pp. 265-283, (Springer Verlag) (2004)
• 2003
  • F. Jézéquel : “Dynamical control of converging sequences using DiscreteStochastic Arithmetic”, (2003)
  • F. Jézéquel, F. Rico, J.‑M. Chesneaux, M. Charikhi : “Dynamical control of a multiple integral using Discrete Stochastic Arithmetic”, Dagstuhl Seminar, Dagstuhl, Germany (2003)
• 2002
  • M. Charikhi, J.‑M. Chesneaux, F. Jézéquel, F. Rico, L. Villain : “A dynamical computation of a multiple integral involved in the neutron star theory”, SCAN 2002 - 10^th GAMM - IMACS International Symposium on Scientific Computing, Computer Arithmetic, and Validated Numerics, Paris, France (2002)
  • M. Charikhi, J.‑M. Chesneaux, F. Jézéquel : “Dynamical control of computations of multiple integrals”, SCAN 2002 - 10^th GAMM - IMACS International Symposium on Scientific Computing, Computer Arithmetic, and Validated Numerics, Paris, France (2002)
• 2001
  • F. Jézéquel, J.‑M. Chesneaux : “Numerical computation of an infinite integral using dynamical extrapolation method”, International Conference on NUMERICAL ALGORITHMS, Marrakech, Morocco (2001)
  • F. Jézéquel : “Numerical accuracy of converging sequences”, Mathematical Modelling and Scientific Computations, Borovets, Bulgaria, pp. 444-449 (2001)
  • F. Jézéquel, J.‑M. Chesneaux : “For reliable and powerful scientific computations”, chapter in Scientific Computing, Validated Numerics, Interval Methods, pp. 367-377, (Kluwer Academic/Plenum), (ISBN: 978-1-4419-3376-8) (2001)
  • F. Jézéquel, J.‑M. Chesneaux : “Théorie et pratique de l’arithmétique stochastique discrète”, Réseaux et systèmes répartis - Calculateurs parallèles, vol. 13 (4-5), pp. 485-504, (Hermès Science) (2001)
• 2000
  • J.‑M. Chesneaux, F. Jézéquel : “Numerical validation on vectorial computers”, SCAN 2000 - 9^th International Symposium on Scientific Computing, Computer Arithmetic, and Validated Numerics, Karlsruhe, Germany (2000)
  • F. Jézéquel : “Dynamical control of computations using approximation methods”, 16^e congrès mondial de l'IMACS, Lausanne, Switzerland (2000)
• 1999
  • F. Jézéquel : “A validated parallel across time and space solution of the heat transfer equation”, Applied Numerical Mathematics: an IMACS journal, vol. 31 (1), pp. 65-79, (Elsevier) (1999)
• 1998
  • J.‑M. Chesneaux, F. Jézéquel : “Dynamical control of computations using the Trapezoidal and Simpson’s rules”, Journal of Universal Computer Science, vol. 4 (1), pp. 2-10, (Graz University of Technology, Institut für Informationssysteme und Computer Medien) (1998)
  • J.‑M. Chesneaux, F. Jézéquel, J.‑L. Lamotte, J. Vignes : “Third Real Numbers and Computers conference, book of abstracts”, (ISBN: -) (1998)
• 1997
  • J.‑M. Chesneaux, F. Jézéquel : “Dynamical numerical validation of quadrature methods”, SCAN'97, Lyon, France, pp. 17-20 (1997)