Nicolas Gac
Présentation
After an M.Sc. (2003) and a Ph.D. (2008) degrees, both in signal processing, from the Institut National Polytechnique de Grenoble, I joined in 2009 the University Paris-Saclay first at laboratory L2S as an associate professor and then in 2023 at SATIE as a full professor. I am teaching computer science for embedded systems at the faculty of science. At SATIE, my research interest is focused on algorithm-architecture co-design applied mainly for tomography reconstruction and radio astronomy on multi-GPU servers or FPGA boards. Detailed CV : https://sdrive.cnrs.fr/s/foKxoD2FaKdwD8Y Contact : Laboratoire SATIE / Bureau 2S-73
prenom.nom @ universite-paris-saclay.fr
ENS Paris-Saclay
4 avenue des Sciences / 91 190 Gif-sur-Yvette
Publications
Publications
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Prototypage rapide d'un supercalculateur dédié à la radioastronomieL'Interdisciplinarité. Voyages au-delà des disciplines, CNRS Edition, 2023, 978-2-271-13983-2 |
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Adéquation algorithme architecture pour l’accélération de méthodes d’inversion de données en grande dimensionTraitement du signal et de l'image [eess.SP]. Université Paris Saclay, 2020 |
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Adéquation Algorithme Architecture pour la reconstruction 3D en imagerie médicale TEPTraitement du signal et de l'image [eess.SP]. Institut National Polytechnique de Grenoble - INPG, 2008. Français. ⟨NNT : ⟩ |
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Extension du prototypage rapide pour les pipelines d’imagerie radioastronomique : Simulation avancée multi-nœud HPCGRETSI 2025 - 30e Colloque sur le traitement du signal et des images, GRETSI - Groupe de Recherche en Traitement du Signal et des Images, Aug 2025, Strasbourg, France. pp.1-4 |
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SimSDP, a Rapid Prototyping tool for Radio Astronomy: From NenuFAR Experiments to SKAO-Scale SimulationSiPS 2025 - 38th IEEE Workshop on Signal Processing Systems, Nov 2025, Hong Kong, China. pp.1-5 |
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Scalable Hydrodynamics on multiple Field-Programmable Gate Arrays (FPGAs)SC Workshops '25: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, Nov 2025, St Louis, United States. pp.1832-1841, ⟨10.1145/3731599.3767545⟩ |
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A practical HW-aware NAS flow for AI vision applications on embedded heterogeneous SoCs18th Workshop on Design and Architectures for Signal and Image Processing (DASIP 2025), Jan 2025, Barcelone, Spain. pp.43-56, ⟨10.1007/978-3-031-87897-8_4⟩ |
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Dark-era : Dataflow Algorithm aRchitecture co-design of SKA pipeline for Exascale Radio AstronomySaLF 2025 - 11th Annual conference on Science At Low Frequencies, Dec 2025, Orléans, France |
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An Initial Framework for Prototyping the Radio-Interferometric Imaging PipelinesDASIP 2024 - Workshop on Design and Architectures for Signal and Image Processing, HiPEAC, Jan 2024, Munich, Germany. pp 56-67, ⟨10.1007/978-3-031-62874-0_5⟩ |
Projet ANR Dark-era : Adéquation Algorithme Architecture (A3) pour la radioastronomieColloque national du GDR SoC2, Jun 2024, Toulouse, France |
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Energy-efficient use of an embedded heterogeneous SoC for the inference of CNNs2023 26th Euromicro Conference on Digital System Design (DSD), Sep 2023, Durrës, Albania |
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Exploration d'architectures de réseaux de neurones pour la segmentation sémantique d'images aériennesGRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France |
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Embedded AI performances of Nvidia's Jetson Orin SoC series17ème Colloque National du GDR SOC2, Jun 2023, Lyon, France |
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FPGA implementation of 2D Convolution using OneAPI and OpenCL16ème Colloque National du GDR SOC2, Jun 2022, Strasbourg, France |
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Premiers résultats de comparaison des outils oneAPI et OpenCL pour la convolution 2D sur FPGAGRETSI 2022 - XXIIXème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France |
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MobileFlow : modèle et mise en œuvre pour une inférence de flot optique efficaceGRETSI 2022 - XXIIXème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France |
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Multi-core multi-node parallelization of the radio interferometric imaging pipeline DDFacetSiPS22-IEEE Workshop on Signal Processing Systems, Nov 2022, Rennes, France. ⟨10.1109/sips55645.2022.9919239⟩ |
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Fast Sky to Sky Interpolation for Radio Interferometric Imaging29th IEEE International Conference on Image Processing (ICIP 2022), Oct 2022, Bordeaux, France. ⟨10.1109/ICIP46576.2022.9897317⟩ |
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Interpolation Rapide Sky to Sky pour l'Imagerie Radio InterférométriqueGRETSI 2022 - XXIIXème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France |
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Memory prefetching for tomography acceleration on FPGAs through HLS tools15ème Colloque National du GDR SOC2, Jun 2021, Rennes, France |
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OpenCL FPGA Optimization guided by memory accesses and roofline model analysis applied to tomography acceleration31st International Conference on Field Programmable Logic and Applications (FPL), Aug 2021, Dresden (virtual), Germany. pp.109-114, ⟨10.1109/FPL53798.2021.00026⟩ |
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An efficiency-driven approach for real-time optical flow processing on parallel hardwareIEEE International Conference on Image Processing (ICIP’2020), Oct 2020, Abu Dhabi, United Arab Emirates. ⟨10.1109/icip40778.2020.9191164⟩ |
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Data distribution on a multi-GPU node for TomoBayes CT reconstructionThe 26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, Aug 2020, Inconnu, South Korea |
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An OpenCL pipeline implementation on Intel FPGA for 3D backprojection6th International Conference on Image Formation in X-Ray Computed Tomography, Aug 2020, Regensburg, Germany |
Student Session: Data distribution on a multi-GPU node for TomoBayes CT reconstruction2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Aug 2020, Gangnueng, South Korea. pp.1-2, ⟨10.1109/RTCSA50079.2020.9203709⟩ |
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GPU Acceleration : OpenACC for Radar Processing SimulationInternational Radar Conference, Sep 2019, Toulon, France. pp.1-6, ⟨10.1109/RADAR41533.2019.171296⟩ |
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Multi-streaming and multi-GPU optimization for a matched pair of Projector and BackprojectorThe 2019 International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Jun 2019, Philadelphie, PA, United States. ⟨10.1117/12.2534108⟩ |
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Variational Bayesian approach in model-based iterative reconstruction for 3D X-ray computed tomography with Gauss-Markov-Potts priorMaxEnt 2019 : Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Jun 2019, Garching/Munich, Germany. ⟨10.3390/proceedings2019033004⟩ |
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Accélération sur GPU d'une simulation radar avec OpenACCGRETSI 2019 - XXVIIème Colloque francophone de traitement du signal et des images, Aug 2019, Lille, France |
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New GPU implementation of Separable Footprint (SF) Projector and Backprojector : first resultsThe Fifth International Conference on Image Formation in X-Ray Computed Tomography, May 2018, Salt Lake City, United States. pp.314-317 |
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Harnessing FPGAs potential with OpenCL13ème Colloque nationale du GDR SoC/SiP, Jun 2018, Paris, France |
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A Study on Convolution Operator Using Half Precision Floating Point Numbers on GPU for Radioastronomy DeconvolutionIEEE International Workshop on Signal Processing Systems (SiPS 2018), Oct 2018, Le Cap, South Africa. ⟨10.1109/sips.2018.8598342⟩ |
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Bayesian Inference with Error Variable Splitting and Sparsity Enforcing Priors for Linear Inverse Problems26th European Signal Processing Conference (EUSIPCO 2018), Sep 2018, Rome, Italy. ⟨10.23919/eusipco.2018.8553335⟩ |
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Comparaison des performances d’algorithmes itératifs bayésiens basés sur trois classes de modèles a priori parcimonieux appliqués à la reconstruction tomographique26eme Colloque GRETSI Traitement du Signal & des Images, GRETSI 2017, Sep 2017, Juans-Les-Pins, France |
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Joint Reconstruction and Segmentation of Real 3D Data in Computed Tomography thanks to a Gauss-Markov-Potts Prior Model,Fully 3D, Jun 2017, Xian, China. pp.810-813 |
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A joint segmentation and reconstruction algorithm for 3D Bayesian Computed Tomography using Gaus-Markov-Potts Prior ModelThe 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States |
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Reconstruction 3D en tomographie à rayons X à l'aide d'un modèle a priori hiérarchique utilisant la transformation de Haar26eme Colloque GRETSI Traitement du Signal & des Images, GRETSI 2017, Sep 2017, Juan-Les-Pins, France |
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Bayesian X-ray Computed Tomography using a Three-level Hierarchical Prior ModelAIP Conference, Bayesian inference and maximum entropy methods in science and engineering (Maxent 2016), Jul 2016, Gent, Belgium. ⟨10.1063/1.4985361⟩ |
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3D Tomography parallelization on FPGAs via HLS toolsDASIP, Sep 2017, dresden, Germany. pp.1-6, ⟨10.1109/DASIP.2017.8122119⟩ |
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X-ray computed tomography simultaneous image reconstruction and contour detection using a hierarchical markovian modelThe 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. pp.6070-6074, ⟨10.1109/ICASSP.2017.7953322⟩ |
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3D X-ray Computed Tomography reconstruction using sparsity enforcing Hierarchical Model based on Haar TransformationThe 2017 International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Jun 2017, Xi'an, China. pp.295-298 |
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Bayesian method with sparsity enforcing prior of dual-tree complex wavelet transform coefficients for X-ray CT image reconstruction25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, Kos island, Greece. ⟨10.23919/eusipco.2017.8081253⟩ |
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Unsupervised sparsity enforcing iterative algorithms for 3D image reconstruction in X-ray computed tomographyThe 2017 International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Jun 2017, Xi'an, China. pp.359-362 |
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Performance comparison of Bayesian iterative algorithms for three classes of sparsity enforcing priors with application in computed tomography2017 IEEE International Conference on Image Processing, Sep 2017, Beijing, China |
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Model selection in the sparsity context for inverse problems in Bayesian framework37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Jul 2017, Jarinu, Brazil. ⟨10.1007/978-3-319-91143-4_15⟩ |
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A Student-t based sparsity enforcing hierarchical prior for linear inverse problems and its efficient Bayesian computation for 2D and 3D Computed TomographyInternational traveling workshop on interactions between sparse models and technology, Aug 2016, AALBORG, Denmark |
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Computed tomography reconstruction based on a hierarchical model and variational Bayesian methodIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar 2016, Shanghai, China. pp.883-887, ⟨10.1109/ICASSP.2016.7471802⟩ |
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A hierarchical variational Bayesian approximation approach in acoustic imaging34th International Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering (MaxEnt'14), Sep 2014, Amboise, France. pp.572 - 579, ⟨10.1063/1.4906024⟩ |
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Bayesian 3D X-ray computed tomography image reconstruction with a scaled Gaussian mixture prior model34th International Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering (MaxEnt'14), Sep 2014, Amboise, France. pp.556-563, ⟨10.1063/1.4906022⟩ |
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Aero-acoustics source separation with sparsity inducing priors in the frequency domain34th International Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering (MaxEnt'14), Sep 2014, Amboise, France. pp.422 - 431, ⟨10.1063/1.4906006⟩ |
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A variational Bayesian approximation approach via a sparsity enforcing prior in acoustic imagingWIO 2014, Jul 2014, Neuchâtel, Switzerland. pp.1 - 4, ⟨10.1109/WIO.2014.6933297⟩ |
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Convolution Models with Shift-invariant kernel based on Matlab-GPU platform for Fast Acoustic ImagingISAV 2014, Dec 2014, Tehran, Iran |
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A simple and efficient super-short-scan algorithm of fan-beam reconstruction for multiple circular trajectories: solution towards the truncated dataThe Third International Conference on Image Formation in X-Ray Computed Tomography , Jun 2014, Salt Lake City, United States. pp.212-215 |
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2D convolution model using (in)variant kernels for fast acoustic imaging5 th Berlin Beamforming Conference 2014, Feb 2014, Berlin, Germany. 15 p |
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A penalized weighted least-squares image reconstruction based on scatter correction methods for X-ray CT2013 IEEE Nuclear Science Symposium and Medical Imaging Conference, Oct 2013, Seoul, South Korea. pp.2 |
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High-Dimensional Range Profile Geometrical Visualization and Performance Estimation of Radar Target Classification via a Gaussian Mixture ModelGeometric Science of Information, Aug 2013, Paris, France. pp.829-836, ⟨10.1007/978-3-642-40020-9_93⟩ |
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An efficient variational Bayesian inference approach via Studient's-t priors for acoustic imaging in colored noisesPOMA - ICA 2013, Jun 2013, Montreal, Canada. 055031 (9p.) |
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Analytical model and spectral correction of vibration effects on Fourier transform spectrometerSPIE Remote sensing 2013, Sep 2013, Dresden, Germany. pp.88900S-88900S-9, ⟨10.1117/12.2028632⟩ |
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A Fuzzy-Logic based non cooperative target recognitionSignal Image Technology and Internet Based Systems 2012, Nov 2012, Naples, Italy. pp.410-145, ⟨10.1109/SITIS.2012.66⟩ |
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Accélération sur serveur multi-GPUs de la reconstruction 3D d'une mousse de nickel par méthodes itératives algébriques régularisées23ème colloque GRETSI sur le traitement du signal et des images, Sep 2011, Bordeaux, France. pp.id455 |
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Algorithmes de Reconnaissance Non Coopérative de Cibles et implémentation sur GPUGRETSI, Sep 2011, Bordeaux, France. pp.ID146 |
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Multi GPU parallelization of 3D bayesian CT algorithm and its application on real foam reonconstruction with incomplete data setForum on recent developments in Volume Reconstruction techniques applied to 3D fluid and solid mechanics, Nov 2011, Poitiers, France. pp.35-38 |
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GPU implementation of a 3D bayesian CT algorithm and its application on real foam reconstructionThe First International Conference on Image Formation in X-Ray Computed Tomography, Jun 2010, Salt Lake City, United States. pp.151-155 |
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Parallélisation sur GPU d'un algorithme de reconstruction 3D bayésien en tomographie X.Développement d'applications de calcul intensif sur carte graphique pour l'imagerie moléculaire, May 2009, Obernai, France |
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A Hardware Projector/Backprojector Pair for 3D PET ReconstructionSPIE Medical Imaging 2008, Feb 2008, San Diego, Californie, United States. pp.69132O, ⟨10.1117/12.770588⟩ |
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Algorithm Architecture Adequacy for High Speed 3D TomographyDASIP 2007 - Workshop on Design and Architectures for Signal and Image Processing, Nov 2007, Grenoble, France |
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Hardware/software 2D-3D backprojection on a SoPC platformACM Symposium on Applied Computing, Apr 2006, Dijon, France. pp.222 - 228 |
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2D backprojection on a SOPC platform : first results13 ème Forum Recherche en Génie Biologique et Médica, 2005, Nancy, France |
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Rétroprojection 2D sur plateforme SOPCGRETSI'05, Sep 2005, Louvain-la-neuve, Belgique. pp.783-786 |
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Etude d'un cache 2D adaptatif et prédictif pour le traitement d'imageJournées Francophones en Adéquation Algorithme Architecture, Jan 2005, Dijon, France. pp.JFAAA 2005 |
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Detection and Speech/Sound Segmentation in a Smart Room EnvironmentTrends in Speech Technology, The 3rd International Conference on Speech Technology and Human-Computer Dialogue, IEEE, SpeD2005, May 2005, Cluj, Romania |
Procédé et dispositif de contrôle non-destructif d'une pièceFrance, N° de brevet: 18/53648. 2018 |
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French SKA White Book - The French Community towards the Square Kilometre ArrayC. Ferrari; G. Lagache; M.-A. Miville-Deschenes; L. Montier; E. Josselin; N. Vilmer; P. Zarka; S. Corbel; S. Vergani; S. Lambert; G. Theureau; S. Bosse; A. Ferrari; S. Gauffre; G. Marquette; J.-M. Martin; B. Semelin; M. Alves; K. Ferrière. 2018, ⟨10.48550/arXiv.1712.06950⟩ |