1 Doktor 2015

Publikationen 1997-2018

• 2018
  • I. Said, P. Fortin, J.‑L. Lamotte, H. Calandra : “Leveraging the accelerated processing units for seismic imaging: A performance and power efficiency comparison against CPUs and GPUs”, International Journal of High Performance Computing Applications, vol. 32 (6), pp. 819-837, (SAGE Publications) (2018)
• 2016
  • M. Bourgoin, E. Chailloux, J.‑L. Lamotte : “High Level Data Structures for GPGPU Programming in a Statically Typed Language”, International Journal of Parallel Programming, (Springer Verlag) (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)
  • I. Said, P. Fortin, J.‑L. Lamotte, H. Calandra : “hiCL: an OpenCL abstraction layer for scientific computing, application to depth imaging on GPU and APU”, The ACM International Conference Series (ACM ICPS)., Vienne, Austria (2016)
  • I. Said, P. Fortin, J.‑L. Lamotte, R. Dolbeau, H. Calandra : “On the efficiency of the Accelerated Processing Unit for scientific computing”, Proceedings of the 2016 Spring Simulation Multi-Conference (SPRINGSIM)., Pasadena, United States, pp. 349-356, (Society for Computer Simulation International) (2016)
  • I. Said, P. Fortin, J.‑L. Lamotte, H. Calandra : “Efficient Reverse Time Migration on APU clusters”, 2016 Rice Oil & Gas HPC Conference, Houston, United States (2016)
  • S. Markov, R. Alt, J.‑L. Lamotte : “Quasilinear Structures in Stochastic Arithmetic and their Application”, Serdica Journal of Computing, vol. 10 (1-12), (Bulgarian Academy of Sciences, Institute of Mathematics and Informatics) (2016)
• 2015
  • F. Jézéquel, J.‑L. Lamotte, I. Said : “Estimation of numerical reproducibility on CPU and GPU”, 8<sup>th</sup> Workshop on Computer Aspects of Numerical Algorithms (CANA), Federated Conference on Computer Science and Information Systems (FedCSIS), Lodz, Poland, pp. 687-692 (2015)
  • M. Bourgoin, E. Chailloux, J.‑L. Lamotte : “High Level Data Structures for GPGPU Programming in a Statically Typed Language”, 8<sup>th</sup> International Symposium on High-level Parallel Programming and Applications, Pisa, Italy (2015)
• 2014
  • M. Bourgoin, E. Chailloux, J.‑L. Lamotte : “Efficient Abstractions for GPGPU Programming”, International Journal of Parallel Programming, vol. 42 (4), pp. 583-600, (Springer Verlag) (2014)
  • M. Bourgoin, E. Chailloux, J.‑L. Lamotte : “High Level GPGPU Programming with Parallel Skeletons”, chapter in PATTERNS FOR PARALLEL PROGRAMMING ON GPUS, (Saxe-Coburg Publications) (2014)
• 2013
  • M. Bourgoin, E. Chailloux, J.‑L. Lamotte : “High-Performance GPGPU Programming with OCaml”, The OCaml Users and Developers Workshop, Boston, MA, United States (2013)
  • P. Fortin, J.‑L. Lamotte : “An (almost) direct deployment of the Fast Multipole Method on the Cell processor”, Journal of Supercomputing, vol. 65 (3), pp. 1205-1222, (Springer Verlag) (2013)
  • M. Bourgoin, E. Chailloux, J.‑L. Lamotte : “Efficient Abstractions for GPGPU Programming”, International Symposium on High-level Parallel Programming and Applications, Paris, France (2013)
  • R. Alt, J.‑L. Lamotte : “Stochastic arithmetic as a tool to study the stability of biological models”, International Conference on Mathematical Methodes and Models in Biosciences (BIOMATH), Sofia, Bulgaria (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^th International Conference on Information Technology: New Generations, ITNG 2013, Las Vegas, Nevada, United States, pp. 160-166, (IEEE) (2013)
  • H. Calandra, R. Dolbeau, P. Fortin, J.‑L. Lamotte, I. Said : “Evaluation of Successive CPUs/APUs/GPUs Based on an OpenCL Finite Difference Stencil”, 21^st Euromicro International Conference Parallel, Distributed and Network-Based Processing, PDP 2013, Belfast, United Kingdom, pp. 405-409, (IEEE) (2013)
  • P. Fortin, J.‑L. Lamotte : “The Fast Multipole Method on the Cell processor”, (2013)
  • M. Bourgoin, E. Chailloux, J.‑L. Lamotte : “Retour d’expérience : portage d’une application haute-performance vers un langage de haut niveau”, Compas'13, Grenoble, France, pp. 8 (2013)
  • S. Montan, J.‑M. Chesneaux, Ch. Denis, J.‑L. Lamotte : “Étude de la propagation des erreurs d’arrondi dans un code d’hydrodynamique parallèle”, Conférence d'informatique en Parallélisme, Architecture et Systeme, COMPAS 2013, Grenoble, France (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)
  • R. Alt, J.‑L. Lamotte : “Stochastic Arithmetic as a Tool to Study the Stability of Biological Models”, BIOMATH, vol. 2 (2), pp. 1-7, (Biomath Forum) (2013)
• 2012
  • S. Montan, J.‑M. Chesneaux, Ch. Denis, J.‑L. Lamotte : “Towards an efficient implementation of CADNA in the BLAS : Example of DgemmCADNA routine.”, 15^th GAMM - IMACS International Symposium on Scientific Computing, Computer Arithmetic, and Validated Numerics (SCAN), Novosibirsk, Russian Federation (2012)
  • H. Calandra, R. Dolbeau, P. Fortin, J.‑L. Lamotte, I. Said : “Assessing the relevance of APU for high performance scientific computing”, AMD Fusion Developer Summit (AFDS), Bellevue, WA, United States (2012)
  • M. Bourgoin, E. Chailloux, J.‑L. Lamotte : “SPOC: GPGPU PROGRAMMING THROUGH STREAM PROCESSING WITH OCAML”, Parallel Processing Letters, vol. 22 (2), pp. 1240007, (World Scientific Publishing) (2012)
  • M. Bourgoin, E. Chailloux, J.‑L. Lamotte : “Experiments with Spoc”, Workshop OpenGPU, HIPEAC 2012, Paris, France (2012)
  • M. Bourgoin, E. Chailloux, J.‑L. Lamotte : “SPOC : GPGPU programming through Stream Processing with OCaml”, HLPGPU2012 workshop, Paris, France, pp. 1-8 (2012)
• 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)
  • G. Pierron, J.‑L. Lamotte, Ph. Trébuchet : “Modélisation de calcul à partir d’arbres et génération automatique de codes optimisés pour les nouvelles architectures de calcul”, RenPar'20, Saint-Malo, France, pp. 1-8 (2011)
  • R. Alt, J.‑L. Lamotte, S. Markov : “On the Accuracy of the Solution of Linear Problems on the CELL Processor”, Reliable Computing, vol. 15 (1), pp. 1-12, (Springer Verlag) (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)
  • Q. Bourgerie, P. Fortin, J.‑L. Lamotte : “Efficient Complex Matrix Multiplication on the Synergistic Processing Element of the Cell Processor”, Workshop on Parallel Programming and Applications on Accelerator Clusters (PPAAC10), held in conjunction with IEEE Cluster 2010, Heraklion, Crete, Greece, pp. 1-8, (IEEE) (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)
  • R. Alt, J.‑L. Lamotte, S. Markov : “Stochastic Arithmetic, theory and experiments”, Serdica Journal of Computing, vol. 4 (1), pp. 1-10, (Bulgarian Academy of Sciences, Institute of Mathematics and Informatics) (2010)
• 2009
  • P. Fortin, J.‑L. Lamotte : “Fast Multipole Method on the Cell Broadband Engine: the Near Field Part”, Parallel Computing: From Multicores and GPU's to Petascale, Selected Papers from the international Parallel Computing Conference (ParCo2009), vol. 19, Advances in Parallel Computing, Lyon, France, pp. 323-330, (IOS Press) (2009)
  • H. Nguyen, S. Graillat, J.‑L. Lamotte : “Extended precision with a rounding mode toward zero environment. Application on the CELL processor”, International Journal of Reliability and Safety, vol. 3 (1-3), pp. 153-173, (Inderscience) (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
  • S. Graillat, J.‑L. Lamotte, Siegfried M. Rump, S. Markov : “Interval arithmetic on the Cell processor”, 13^th GAMM - IMACS International Symposium on Scientific Computing, Computer Arithmetic and Verified Numerical Computations SCAN'08, El Paso, Texas, United States, pp. 54-54 (2008)
  • R. Alt, J.‑L. Lamotte, S. Markov : “On the accuracy of the CELL processor”, SCAN'08 conf. on Scientific computing, computer arithmetics and validated numerics, El Paso, United States, pp. 13-14 (2008)
  • H. Nguyen, S. Graillat, J.‑L. Lamotte : “Precise and effective scientific calculation on the CELL processor”, Proceedings of the Workshop on Reliable Engineering Computing, Savannah, Georgia, United States, pp. 333-350 (2008)
  • S. Graillat, J.‑L. Lamotte, H. Nguyen : “Error-Free Transformation in Rounding Mode toward Zero”, Numerical Validation in Current Hardware Architectures, revised papers, vol. 5492, Lecture Notes In Computer Science, Dagstuhl, Germany, pp. 217-229, (Springer) (2008)
• 2007
  • R. Alt, J.‑L. Lamotte, S. Markov : “Numerical Study of Algebraic Problems using stochastic arithmetic”, Large Scale Scientific Computing (LSSC'07),, vol. 4818, Lecture Notes in Computer Science, Sozopol, Bulgaria, pp. 123-130, (Springer) (2007)
  • R. Alt, J.‑L. Lamotte, S. Markov : “Testing stochastic arithmetic and CESTAC method via polynomial computation”, IFSA 2007 - 12^th International Fuzzy Systems Association World Congress, vol. 4529, Lecture Notes in Computer Science, Cancun, Mexico, pp. 13-22, (Springer) (2007)
• 2006
  • J.‑M. Chesneaux, J.‑L. Lamotte, N. Limare, Y. Lebars : “On the new CADNA library”, Proceedings of SCAN, Duisburg, Germany, pp. 40-40 (2006)
  • R. Alt, J.‑L. Lamotte, S. Markov : “On the solution to numerical problems using stochastic arithmetic”, IEEE SCAN 2006, Duisburg, Germany, pp. 156-156, (IEEE) (2006)
  • R. Alt, J.‑L. Lamotte, S. Markov : “Abstract structures in stochastic arithmetic”, Proceeding of IPMU06, Paris, France, pp. 794-801 (2006)
  • R. Alt, J.‑L. Lamotte, S. Markov : “On the numerical solution to linear problems using stochastic arithmetic”, ACM Symposium on Applied Computing, SAC'06, Dijon, France, pp. 1635-1639, (ACM) (2006)
• 2005
  • R. Alt, J.‑L. Lamotte, V. Kreinovich : “Random Interval Arithmetic is Closer to Common Sense: An Observation”, 17^th IMACS World Congress: Scientific Computation, Applied Mathematics and Simulation, Paris, France, pp. 1-4 (2005)
  • R. Alt, J.‑L. Lamotte, S. Markov : “Numerical Study of Algebraic Solutions to Linear Problems Involving Stochastic Parameters”, 5^th International Conference on Large Scale Scientific Computing, LSSC 2005, vol. 3743, Lecture Notes in Computer Science, Sozopol, Bulgaria, pp. 273-280, (Springer) (2005)
• 2004
  • J.‑L. Lamotte : “Vers une chaine de validation des logiciels numériques à l’aide de méthodes probabilistes”, habilitation, verteidigung einer doktorarbeit 30.11.2004 (2004)
  • S. Markov, R. Alt, J.‑L. Lamotte : “Stochastic Arithmetic: s-spaces and some applications”, Numerical Algorithms, vol. 37 (1-4), pp. 275-284, (Springer Verlag) (2004)
  • R. Alt, J.‑L. Lamotte, S. Markov : “Numerical Study of Stochastic Algebraic Solutions to Linear Problems”, SCAN 2004 - 11^th International Symposium on Scientific Computing, Computer Arithmetic, and Validated Numerics, Fukuoka, Japan, pp. 30-30 (2004)
  • A. Ghaneme, J.‑L. Lamotte : “On the performance of a parallel implementation of the CESTAC Method with self-validation on several parallel machines”, SCAN 2004 - 11^th International Symposium on Scientific Computing, Computer Arithmetic, and Validated Numerics, Fukuoka, Japan, pp. 52-52 (2004)
  • D. Martins, J.‑L. Lamotte : “First parallel implementation of the CESTAC Method with self validation”, 33^rd Spring Conference of the Union of Bulgarian Mathematicians Borovets, Borovetz, Bulgaria, pp. 427-433 (2004)
  • R. Alt, J.‑L. Lamotte : “Special Issue of Scan’2002 International Conference”, vol. 37, Numerical Algorithms (2004)
• 2003
  • R. Chotin‑Avot, J.‑M. Chesneaux, J.‑L. Lamotte : “On the computation of the CESTAC function”, Real Numbers and Computers 5 (RNC5), Lyon, France, pp. 247-260 (2003)
• 2002
  • J.‑L. Lamotte, B. Molina, M. Raydan : “Smooth and adaptive gradient method with retards”, Mathematical and Computer Modelling, vol. 36 (9-10), pp. 1161-1168, (Elsevier) (2002)
  • J.‑L. Lamotte : “Parallelization of the CESTAC Method on shared memory and distributed memory computers”, 10^th International Symposium on Scientific Computing, Computer Arithmetic, and Validated Numerics, SCAN2002, Paris, France, pp. 124-124 (2002)
  • O. Glück, J.‑L. Lamotte, A. Greiner : “The influence of system calls and interrupts on the performance of a PC cluster using a remote DMA communication primitive”, Third International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'2002), Kanazawa, Japan, pp. 414-421 (2002)
• 2001
  • R. Alt, J.‑L. Lamotte : “Some experiments on the evaluation of functional ranges using a random interval arithmetic”, Mathematics and Computers in Simulation, vol. 56 (1), pp. 17-34, (Elsevier) (2001)
• 2000
  • J.‑L. Lamotte : “On the visualization of the precision of validation software”, SCAN 2000 - 9^th International Symposium on Scientific Computing, Computer Arithmetic, and Validated Numerics, Karlsruhe, Germany, pp. 136-136 (2000)
  • F. Delay, J.‑L. Lamotte : “Numerical simulation of geological reservoirs: improving their conditioning through the use of entropy”, Mathematics and Computers in Simulation, vol. 52 (3-4), pp. 311-331, (Elsevier) (2000)
• 1999
  • J.‑L. Lamotte : “A new approach for the study of surface interpolation with uncertain data using the CADNA software”, International workshop on Reliable Computations and Interval Algebra, Sozopol, Bulgaria (1999)
• 1998
  • J.‑L. Lamotte, Y. Epelboin : “Study of the numerical stability of a X-RAY diffraction model”, Computational Engineering in Systems Applications, IMACS Multiconference, Nabeul-Hammamet, Tunisia, pp. 916-919 (1998)
  • J.‑M. Chesneaux, F. Jézéquel, J.‑L. Lamotte, J. Vignes : “Third Real Numbers and Computers conference, book of abstracts”, (ISBN: -) (1998)
• 1997
  • J.‑L. Lamotte, F. Delay : “On the stability of the 2D interpolation algorithms with uncertain data”, Mathematics and Computers in Simulation, vol. 43 (2), pp. 183-201, (Elsevier) (1997)