Attività di ricerca

Conception d'algorithmes parallèles pour les architectures généralistes (CPU multicoeurs SIMD, DSP, GPU), les systèmes embarqués et les systèmes manycores. Customisation de processeur "softcore", étude des formats de calcul flottant en demi-précision F16 pour le traitement d'images et la vision par ordinateur. optimisation de codes HPC. Etiquetage et Analyse en Composantes Connexes.

5 Studenti di dottorato (Relatore / Co-relazione)

• BOURNIAS Ilias : Design space exploration of image processing & embedded systems for ultrasonic handheld stethoscope
• HENNEQUIN Arthur : real time tracking for the CERN LHCb experiment,
• MAURICE Nathan : Irregular : Developement of efficient parallel algorithms for irregular application on heterogenous embedded systems for computer vision.
• MILLET Maxime : Irregular & Architecture
• ROMERA Thomas : Doctorant traitement d'images temps réel pour système embarqué

3 Dottore di ricerca 2019 - 2020

Pubblicazioni 2009-2020

• 2020
  • L. Lacassagne, D. Etiemble : “Jeux d’instructions : extensions SIMD et extensions vectorielles”, Techniques de l'Ingenieur, (Techniques de l'ingénieur) (2020)
  • F. Lemaitre, A. Hennequin, L. Lacassagne : “How to speed Connected Component Labeling up with SIMD RLE algorithms”, Workshop on Programming Models for SIMD/Vector Processing (WPMVP@PPoPP), San Diego, Californie, United States (2020)
  • A. Petreto, Th. Romera, F. Lemaitre, M. Bouyer, B. Gaillard, P. Menard, Q. Meunier, L. Lacassagne : “Real-time embedded video denoiser prototype”, 9^th International Symposium - Optronics in Defense and Security (Optro), Paris, France (2020)
  • A. Hennequin, B. Couturier, V. Gligorov, S. Ponce, R. Quagliani, L. Lacassagne : “A fast and efficient SIMD track reconstruction algorithm for the LHCb Upgrade 1 VELO-PIX detector”, Journal of Instrumentation, vol. 15 (06), pp. p06018, (IOP Publishing) (2020)
• 2019
  • A. Petreto, Th. Romera, F. Lemaitre, I. Masliah, B. Gaillard, M. Bouyer, Q. Meunier, L. Lacassagne : “Débruitage temps réel embarqué pour vidéos fortement bruitées”, COMPAS 2019, Anglet, France (2019)
  • A. Hennequin, L. Lacassagne, I. Masliah : “Étiquetage et analyse en composantes connexes sur GPUs”, COMPAS, Anglet, France (2019)
  • A. Hennequin, L. Lacassagne : “A new Direct Connected Component Labeling and Analysis Algorithm for GPUs”, GPU Technology Conference (GTC), San Jose, United States (2019)
  • A. Hennequin, I. Masliah, L. Lacassagne : “Designing efficient SIMD algorithms for direct Connected Component Labeling”, WPMVP'19 Proceedings of the 5^th Workshop on Programming Models for SIMD/Vector Processing, Washington, United States, pp. 4:1-4:8, (ACM) (2019)
  • N. Rambaux, J. Vaubaillon, L. Lacassagne, D. Galayko, G. Guignan, M. Birlan, P. Boisse, M. Capderou, F. Colas, F. Deleflie, F. DESHOURS, A. Hauchecorne, Ph. Keckhut, A. Levasseur‑Regourd, J.‑L. Rault, B. Zanda : “Meteorix: a cubesat mission dedicated to the detection of meteors and space debris”, Proceedings of the 1^st ESA NEO and Debris Detection Conference, Darmstadt, Germany, pp. 9 p., (ESA Space Safety Programme Office) (2019)
  • A. Petreto, Th. Romera, I. Masliah, B. Gaillard, M. Bouyer, Q. Meunier, L. Lacassagne, F. Lemaitre : “A New Real-Time Embedded Video Denoising Algorithm”, DASIP 2019 - The Conference on Design and Architectures for Signal and Image Processing, Montréal, Canada (2019)
  • A. Hennequin, B. Couturier, V. Gligorov, L. Lacassagne : “SparseCCL: Connected Components Labeling and Analysis for sparse images”, DASIP 2019 - The Conference on Design and Architectures for Signal and Image Processing, Montréal, Canada (2019)
• 2018
  • A. Hennequin, L. Lacassagne, L. Cabaret, Q. Meunier : “A new Direct Connected Component Labeling and Analysis Algorithms for GPUs”, 2018 Conference on Design and Architectures for Signal and Image Processing (DASIP), Porto, Portugal (2018)
  • A. Petreto, A. Hennequin, Th. Koehler, Th. Romera, Y. Fargeix, B. Gaillard, M. Bouyer, Q. Meunier, L. Lacassagne : “Energy and Execution Time Comparison of Optical Flow Algorithms on SIMD and GPU Architectures”, Conference on Design and Architectures for Signal and Image Processing (Dasip 2018), Porto, Portugal (2018)
  • N. Rambaux, D. Galayko, G. Guignan, J. Vaubaillon, L. Lacassagne, Ph. Keckhut, A. Levasseur‑Regourd, A. Hauchecorne, M. Birlan, G. Augarde, S. Barnier, S. Ben Kemmoum, A. Bigot, P. Boisse, M. Capderou, A. Chu, F. Colas, F. DESHOURS, Y. Fargeix, A. Hennequin, Th. Koehler, M. Lumbroso, J.‑F. Mariscal, D. Portela‑Moreira, J. Raffard, J.‑L. Rault, Th. Romera, C. Tob, B. Zanda : “METEORIX: a cubesat mission dedicated to the detection of meteors”, COSPAR 2018, 42^nd Assembly, Pasadena, United States (2018)
  • A. Petreto, A. Hennequin, Th. Koehler, Th. Romera, Y. Fargeix, B. Gaillard, M. Bouyer, Q. Meunier, L. Lacassagne : “Comparaison de la consommation énergétique et du temps d’exécution d’un algorithme de traitement d’images optimisé sur des architectures SIMD et GPU”, Conférence d’informatique en Parallélisme, Architecture et Système (COMPAS 2018), Toulouse, France (2018)
  • A. Petreto, A. Hennequin, Th. Koehler, Th. Romera, Y. Fargeix, B. Gaillard, M. Bouyer, Q. Meunier, L. Lacassagne : “Comparaison de la consommation énergétique et du temps d’exécution d’un algorithme de traitement d’images optimisé sur des architectures SIMD et GPU”, GdR SOC2, Paris, France (2018)
  • L. Cabaret, L. Lacassagne, D. Etiemble : “Parallel Light Speed Labeling: an efficient connected component algorithm for labeling and analysis on multi-core processors”, Journal of Real-Time Image Processing, vol. 15 (1), pp. 173-196, (Springer Verlag) (2018)
  • F. Lemaitre, B. Couturier, L. Lacassagne : “Small SIMD Matrices for CERN High Throughput Computing”, WPMVP 2018 Workshop on Programming Models for SIMD/Vector Processing, Vienna, Austria, (ACM Press) (2018)
  • O. Haggui, C. Tadonki, L. Lacassagne, F. Sayadi, O. Bouraoui : “Harris corner detection on a NUMA manycore”, Future Generation Computer Systems, vol. 88, pp. 442-452, (Elsevier) (2018)
  • D. Mercadier, P.‑E. Dagand, L. Lacassagne, G. Muller : “Usuba, Optimizing & Trustworthy Bitslicing Compiler”, WPMVP’18 - Workshop on Programming Models for SIMD/Vector Processing, Vienna, Austria, (ACM Press) (2018)
  • C. CARRASCAL‑MANZANARES, A. Imperiale, G. Rougeron, V. Bergeaud, L. Lacassagne : “A fast implementation of a spectral finite elements method on CPU and GPU applied to ultrasound propagation”, International Conference on Parallel Computing, vol. 32, Parallel Computing is Everywhere, Bologna, Italy, pp. 339-348, (IOS Press) (2018)
• 2017
  • L. Cabaret, L. Lacassagne, D. Etiemble : “Distanceless Label Propagation: an Efficient Direct Connected Component Labeling Algorithm for GPUs”, IPTA2017 - International Conference on Image Processing Theory, Tools and Applications, Montreal, Canada (2017)
  • C. Tadonki, O. Haggui, L. Lacassagne : “Harris Corner Detection on a NUMA Manycore”, (2017)
  • F. Lemaitre, B. Couturier, L. Lacassagne : “Cholesky Factorization on SIMD multi-core architectures”, Journal of Systems Architecture, (Elsevier) (2017)
  • M. Gouiffès, A. Romero Mier y Téran, L. Lacassagne : “Color enhanced local binary patterns in covariance matrices descriptors (ELBCM)”, Journal of Visual Communication and Image Representation, vol. 49, pp. 447-458, (Elsevier) (2017)
• 2016
  • F. Lemaitre, L. Lacassagne : “Batched Cholesky Factorization for tiny matrices”, Design and Architectures for Signal and Image Processing (DASIP), Rennes, France, pp. 1-8 (2016)
  • L. Lacassagne, L. Cabaret, D. Etiemble, F. Hebbache, A. Petreto : “A new SIMD iterative connected component labeling algorithm”, WPMVP '16 Proceedings of the 3^rd Workshop on Programming Models for SIMD/Vector Processing, Barcelone, Spain (2016)
  • Ah. Ben Abdallah, M. Gouiffès, L. Lacassagne : “A Modular System for Global and Local Abnormal Event Detection and Categorization in Videos”, Machine Vision and Applications, vol. 27 (4), Machine Vision and Applications, pp. 463-481, (Springer Verlag) (2016)
• 2015
  • L. Lacassagne, L. Cabaret, D. Etiemble : “Parallel light speed labeling: An efficient connected component labeling algorithm for multi-core processors”, International Conference on Image Processing, Quebec, Canada, pp. 3486-3489, (IEEE) (2015)
• 2009
  • L. Lacassagne, A. Manzanera, J. Denoulet, A. Mérigot : “High performance motion detection: some trends toward new embedded architectures for vision systems”, Journal of Real-Time Image Processing, vol. 4 (2), pp. 127-146, (Springer Verlag) (2009)