Nicolas GAC
MCF HDR / Associate Professor - Université Paris Saclay - GPI team
nicolas.gac@l2s.centralesupelec.fr
L2S, CentraleSupélec
Bât. Breguet C4.19
3 rue Joliot Curie
91190 Gif-sur-Yvette, France
Prototypage rapide d’un supercalculateur dédié à la radioastronomie
Real-Time Optical Flow Processing on Embedded GPU: a Hardware-Aware Algorithm to Implementation Strategy
Computing Large 2D Convolutions on GPU Efficiently with the im2tensor Algorithm
Fast Sky to Sky Interpolation for Radio Interferometric Imaging
Premiers résultats de comparaison des outils oneAPI et OpenCL pour la convolution 2D sur FPGA
MobileFlow : modèle et mise en œuvre pour une inférence de flot optique efficace
Interpolation Rapide Sky to Sky pour l’Imagerie Radio Interférométrique
FPGA implementation of 2D Convolution using OneAPI and OpenCL
Multi-core multi-node parallelization of the radio interferometric imaging pipeline DDFacet
Les télélescopes SKA
Memory prefetching for tomography acceleration on FPGAs through HLS tools
OpenCL FPGA Optimization guided by memory accesses and roofline model analysis applied to tomography acceleration
Dataflow Algorithm aRchitecture co-design of SKA pipeline for Exascale Radio Astronomy
An efficiency-driven approach for real-time optical flow processing on parallel hardware
Data distribution on a multi-GPU node for TomoBayes CT reconstruction
An OpenCL pipeline implementation on Intel FPGA for 3D backprojection
A new convolutions algorithm to leverage tensor cores
ROHSA: Regularized Optimization for Hyper-Spectral Analysis
Error-Splitting Forward Model for Iterative Reconstruction in X-ray Computed Tomography and application with Gauss-Markov-Potts prior
3D Tomography back-projection parallelization on Intel FPGAs using OpenCL
Accélération sur GPU d’une simulation radar avec OpenACC
Multi-streaming and multi-GPU optimization for a matched pair of Projector and Backprojector
GPU Acceleration : OpenACC for Radar Processing Simulation
Variational Bayesian approach in model-based iterative reconstruction for 3D X-ray computed tomography with Gauss-Markov-Potts prior
TomoBayes – logiciel de reconstruction en tomographie CT
Bayesian 3D X-ray Computed Tomography with a Hierarchical Prior model for Sparsity in Haar Transform domain
Harnessing FPGAs potential with OpenCL
New GPU implementation of Separable Footprint (SF) Projector and Backprojector : first results
Bayesian Inference with Error Variable Splitting and Sparsity Enforcing Priors for Linear Inverse Problems
A Study on Convolution Operator Using Half Precision Floating Point Numbers on GPU for Radioastronomy Deconvolution
Procédé et dispositif de contrôle non-destructif d’une pièce
French SKA White Book – The French Community towards the Square Kilometre Array
iterTomoGPI-GPL – Ref CNRS du pré-dépôt APP 11562-02 (num IDDN prochainement disponible)
X-ray Computed Tomography using a sparsity enforcing prior model based on Haar transformation in a Bayesian framework
A 3D Bayesian Computed Tomography Reconstruction Algorithm with Gauss-Markov-Potts Prior Model and its Application to Real Data
Bayesian X-ray Computed Tomography using a Three-level Hierarchical Prior Model
X-ray computed tomography simultaneous image reconstruction and contour detection using a hierarchical markovian model
A joint segmentation and reconstruction algorithm for 3D Bayesian Computed Tomography using Gaus-Markov-Potts Prior Model
3D X-ray Computed Tomography reconstruction using sparsity enforcing Hierarchical Model based on Haar Transformation
Unsupervised sparsity enforcing iterative algorithms for 3D image reconstruction in X-ray computed tomography
Joint Reconstruction and Segmentation of Real 3D Data in Computed Tomography thanks to a Gauss-Markov-Potts Prior Model,
Bayesian method with sparsity enforcing prior of dual-tree complex wavelet transform coefficients for X-ray CT image reconstruction
Comparaison des performances d’algorithmes itératifs bayésiens basés sur trois classes de modèles a priori parcimonieux appliqués à la reconstruction tomographique
Reconstruction 3D en tomographie à rayons X à l’aide d’un modèle a priori hiérarchique utilisant la transformation de Haar
Performance comparison of Bayesian iterative algorithms for three classes of sparsity enforcing priors with application in computed tomography
3D Tomography parallelization on FPGAs via HLS tools
Model selection in the sparsity context for inverse problems in Bayesian framework
An OpenCL design for tomographic reconstruction on FPGA. Innovate Europe Design Contest Winners
A Student-t based sparsity enforcing hierarchical prior for linear inverse problems and its efficient Bayesian computation for 2D and 3D Computed Tomography
Computed tomography reconstruction based on a hierarchical model and variational Bayesian method
A hierarchical variational Bayesian approximation approach in acoustic imaging
Bayesian 3D X-ray computed tomography image reconstruction with a scaled Gaussian mixture prior model
Toward a numerical deshaker for PFS
A robust super-resolution approach with sparsity constraint in acoustic imaging
2D convolution model using (in)variant kernels for fast acoustic imaging
Aero-acoustics source separation with sparsity inducing priors in the frequency domain
A simple and efficient super-short-scan algorithm of fan-beam reconstruction for multiple circular trajectories: solution towards the truncated data
A variational Bayesian approximation approach via a sparsity enforcing prior in acoustic imaging
Convolution Models with Shift-invariant kernel based on Matlab-GPU platform for Fast Acoustic Imaging
opgpuTomoGPI – Ref CNRS du pré-dépôt APP 11562-01 (num IDDN prochainement disponible)
Algorithmes de reconnaissance NCTR et parallélisation sur GPU
An efficient variational Bayesian inference approach via Studient’s-t priors for acoustic imaging in colored noises
Analytical model and spectral correction of vibration effects on Fourier transform spectrometer
High-Dimensional Range Profile Geometrical Visualization and Performance Estimation of Radar Target Classification via a Gaussian Mixture Model
A penalized weighted least-squares image reconstruction based on scatter correction methods for X-ray CT
Experimental results and first 22Na source image reconstruction by two prototype modules in coincidence of a liquid xenon positron emission tomograph for small animal imaging
A Fuzzy-Logic based non cooperative target recognition
Parallelization on a 8-GPU server of iterative 3D reconstruction algorithm for dental X-ray tomography
Multi GPU parallelization of 3D bayesian CT algorithm and its application on real foam reonconstruction with incomplete data set
Accélération sur serveur multi-GPUs de la reconstruction 3D d’une mousse de nickel par méthodes itératives algébriques régularisées
Algorithmes de Reconnaissance Non Coopérative de Cibles et implémentation sur GPU
Implémentation et optimisation du calcul sur GPUs FERMI et non FERMI de la distance euclidienne entre des profils distance obtenus à partir de données radar dans le contexte NCTR
GPU implementation of a 3D bayesian CT algorithm and its application on real foam reconstruction
[OMTE 2008/2009] GPU speed-up of a 3D Bayesian CT algorithm : reconstruction of a real foam
Parallélisation sur GPU d’un algorithme de reconstruction 3D bayésien en tomographie X.
High Speed 3D Tomography on CPU, GPU, and FPGA
A Hardware Projector/Backprojector Pair for 3D PET Reconstruction
Adéquation Algorithme Architecture pour la reconstruction 3D en imagerie médicale TEP
Algorithm Architecture Adequacy for High Speed 3D Tomography
Application d’un cache 2D prédictif à l’accélération de la rétroprojection TEP 2D
Hardware/software 2D-3D backprojection on a SoPC platform
Rétroprojection 2D sur plateforme SOPC
Detection and Speech/Sound Segmentation in a Smart Room Environment
2D backprojection on a SOPC platform : first results
Etude d’un cache 2D adaptatif et prédictif pour le traitement d’image
CentraleSupélec,
bât. Bréguet, 3, rue Joliot Curie,
91190 Gif-sur-Yvette
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