1 مسجلة في الدكتوراه (رئاسـة البـحث / تأطـير مـشـترك)

• LE GUILLOU Eve : No title

4 دكـاترة 2012 - 2019

إصدارات 2009-2023

• 2023
  • I. Chollet, X. Claeys, P. Fortin, L. Grigori : “A Directional Equispaced interpolation-based Fast Multipole Method for oscillatory kernels”, SIAM Journal on Scientific Computing, vol. 45 (1), pp. c20-c48, (Society for Industrial and Applied Mathematics) (2023)
• 2021
  • P. Fortin, A. Fleury, F. Lemaire, M. Monagan : “High performance SIMD modular arithmetic for polynomial evaluation”, Concurrency and Computation: Practice and Experience, vol. 33 (16), pp. e6270, (Wiley) (2021)
• 2019
  • P. Fortin, M. Touche : “Dual tree traversal on integrated GPUs for astrophysical N-body simulations”, International Journal of High Performance Computing Applications, vol. 33 (5), pp. 960-972, (SAGE Publications) (2019)
  • Ch. Gueunet, P. Fortin, J. Jomier, J. Tierny : “Task-based Augmented Reeb Graphs with Dynamic ST-Trees”, Eurographics Symposium on Parallel Graphics and Visualization, Porto, Portugal (2019)
  • Ch. Gueunet, P. Fortin, J. Jomier, J. Tierny : “Task-based Augmented Contour Trees with Fibonacci Heaps”, IEEE Transactions on Parallel and Distributed Systems, vol. 30 (8), pp. 1889-1905, (Institute of Electrical and Electronics Engineers) (2019)
• 2018
  • P. Fortin : “Contributions algorithmiques au calcul scientifique sur architectures haute performance”, رخصة بإدارة البحوث, مناقـشـة مـذكـرة 05/07/2018 (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)
  • P. Eberhart, B. Landreau, J. Brajard, P. Fortin, F. Jézéquel : “Improving CADNA Performance on GPUs”, 19^th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC) in conjunction with the 32^nd International Parallel and Distributed Processing Symposium (IPDPS), Vancouver, Canada, pp. 1016-1025, (IEEE) (2018)
• 2017
  • Ch. Gueunet, P. Fortin, J. Jomier, J. Tierny : “Task-based Augmented Merge Trees with Fibonacci Heaps”, IEEE Symposium on Large Data Analysis and Visualization 2017, Phoenix, United States (2017)
• 2016
  • P. Fortin, M. Gouicem, S. Graillat : “GPU-Accelerated Generation of Correctly Rounded Elementary Functions”, ACM Transactions on Mathematical Software, vol. 43 (3), pp. 22:1-22:26, (Association for Computing Machinery) (2016)
  • Ch. Gueunet, P. Fortin, J. Jomier, J. Tierny : “Contour Forests: Fast Multi-threaded Augmented Contour Trees”, IEEE Symposium on Large Data Analysis and Visualization, Baltimore, United States (2016)
  • Ch. Avenel, P. Fortin, M. Gouicem, Z. Samia : “Solving the Table Maker’s Dilemma on Current SIMD Architectures”, Scalable Computing : Practice and Experience, vol. 17 (3), pp. 237-249, (West University of Timisoara) (2016)
  • L. Nardi, J. Brajard, S. Thiria, F. Badran, P. Fortin : “Automatic generation of parallel and coherent code using the YAO variational data assimilation framework”, (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)
  • 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)
• 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)
  • P. Eberhart, I. Said, P. Fortin, H. Calandra : “Hybrid strategy for stencil computations on the APU”, Proceedings of the 1^st International Workshop on High-Performance Stencil Computations, Vienna, Austria, pp. 43-49 (2014)
  • B. Lange, P. Fortin : “Parallel dual tree traversal on multi-core and many-core architectures for astrophysical N-body simulations”, 20^th International Conference Euro-Par 2014 Parallel Processing, vol. 8632, Lecture Notes in Computer Science, Porto, Portugal, pp. 716-727, (Springer) (2014)
• 2013
  • Ch. Avenel, P. Fortin, D. Béréziat : “Parallel birth and death process for cell nuclei extraction in histopathology images”, ICPP 2013 - 42^nd International Conference on Parallel Processing, Lyon, France, pp. 429-438, (IEEE) (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)
  • 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)
  • 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
  • P. Fortin, M. Gouicem, S. Graillat : “Solving the Table Maker’s Dilemma by reducing divergence on GPU”, Proceedings of the 15^th GAMM-IMACS International Symposium on Scientific Computing, Computer Arithmetic and Verified Numerical Computations, Novosibirsk, Russian Federation, pp. 45-46 (2012)
  • L. Nardi, F. Badran, P. Fortin, S. Thiria : “YAO: a generator of parallel code for variational data assimilation applications”, 14^th IEEE International Conference on High Performance Computing and Communications (HPCC-2012), Liverpool, United Kingdom, pp. 224-232 (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)
  • P. Fortin, M. Gouicem, S. Graillat : “Towards solving the Table Maker’s Dilemma on GPU”, 20^th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, Garching, Germany, pp. 407-415, (IEEE Computer Society) (2012)
• 2011
  • P. Fortin, E. Athanassoula, J.‑Ch. Lambert : “Comparisons of different codes for galactic N-body simulations”, Astronomy and Astrophysics - A&A, vol. 531, pp. a120, (EDP Sciences) (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
  • 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)
  • O. Coulaud, P. Fortin, J. Roman : “High-performance BLAS formulation of the adaptive Fast Multipole Method”, Mathematical and Computer Modelling, vol. 51 (3-4), pp. 177-188, (Elsevier) (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)