An experimental toolchain based on high-level dataflow models of computation for heterogeneous MPSoC. - Julien Heulot; Karol Desnos; Jean-François Nezan; Maxime Pelcat; Mickaël Raulet; Hervé Yviquel; P.-L. Lagalaye; Jean-Christophe Le Lann (DASIP, 2012)

Memory bounds for the distributed execution of a hierarchical Synchronous Data-Flow graph. - Karol Desnos; Maxime Pelcat; Jean-François Nezan; Slaheddine Aridhi (ICSAMOS, 2012)

Scheduling of parallelized synchronous dataflow actors. - Zheng Zhou 002; Karol Desnos; Maxime Pelcat; Jean-François Nezan; William Plishker; Shuvra S. Bhattacharyya (ISSoC, 2013)

PiMM: Parameterized and Interfaced dataflow Meta-Model for MPSoCs runtime reconfiguration. - Karol Desnos; Maxime Pelcat; Jean-François Nezan; Shuvra S. Bhattacharyya; Slaheddine Aridhi (ICSAMOS, 2013)

MARTE to ΠSDF transformation for data-intensive applications analysis. - Manel Ammar; Mouna Baklouti; Maxime Pelcat; Karol Desnos; Mohamed Abid (DASIP, 2014)

Efficient multicore implementation of an advanced generator of discrete chaotic sequences. - Karol Desnos; Safwan El Assad; Aurore Arlicot; Maxime Pelcat; Daniel Ménard (ICITST, 2014)

Buffer merging technique for minimizing memory footprints of Synchronous Dataflow specifications. - Karol Desnos; Maxime Pelcat; Jean-François Nezan; Slaheddine Aridhi (ICASSP, 2015)

Automatic Generation of S-LAM Descriptions from UML/MARTE for the DSE of Massively Parallel Embedded Systems. - Manel Ammar; Mouna Baklouti; Maxime Pelcat; Karol Desnos; Mohamed Abid (SNPD (revised selected papers), 2015)

Memory Analysis and Optimized Allocation of Dataflow Applications on Shared-Memory MPSoCs - In-Depth Study of a Computer Vision Application. - Karol Desnos; Maxime Pelcat; Jean-François Nezan; Slaheddine Aridhi (J. Signal Process. Syst., 2015)

On Exploiting Energy-Aware Scheduling Algorithms for MDE-Based Design Space Exploration of MP2SoC. - Manel Ammar; Mouna Baklouti; Maxime Pelcat; Karol Desnos; Mohamed Abid (PDP, 2016)

Distributed Memory Allocation Technique for Synchronous Dataflow Graphs. - Karol Desnos; Maxime Pelcat; Jean-François Nezan; Slaheddine Aridhi (SiPS, 2016)

Models of Architecture: Reproducible Efficiency Evaluation for Signal Processing Systems. - Maxime Pelcat; Karol Desnos; Luca Maggiani; Yanzhou Liu 001; Julien Heulot; Jean-François Nezan; Shuvra S. Bhattacharyya (SiPS, 2016)

Off-Line DVFS Integration in MDE-Based Design Space Exploration Framework for MP2SoC Systems. - Manel Ammar; Mouna Baklouti; Maxime Pelcat; Karol Desnos; Mohamed Abid (WETICE, 2016)

On Memory Reuse Between Inputs and Outputs of Dataflow Actors. - Karol Desnos; Maxime Pelcat; Jean-François Nezan; Slaheddine Aridhi (ACM Trans. Embed. Comput. Syst., 2016)

Scheduling of Parallelized Synchronous Dataflow Actors for Multicore Signal Processing. - Zheng Zhou 002; William Plishker; Shuvra S. Bhattacharyya; Karol Desnos; Maxime Pelcat; Jean-François Nezan (J. Signal Process. Syst., 2016)

Hierarchical Dataflow Model for efficient programming of clustered manycore processors. - Julien Hascoet; Karol Desnos; Jean-François Nezan; Benoît Dupont de Dinechin (ASAP, 2017)

Throughput evaluation of DSP applications based on hierarchical dataflow models. - Hamza Deroui; Karol Desnos; Jean-François Nezan; Alix Munier Kordon (ISCAS, 2017)

Analysis of a heterogeneous multi-core, multi-hw-accelerator-based system designed using PREESM and SDSoC. - Leonardo Suriano; Alfonso Rodríguez 002; Karol Desnos; Maxime Pelcat; Eduardo de la Torre (ReCoSoC, 2017)

Relaxed subgraph execution model for the throughput evaluation of IBSDF graphs. - Hamza Deroui; Karol Desnos; Jean-François Nezan; Alix Munier Kordon (SAMOS, 2017)

Task-based execution of synchronous dataflow graphs for scalable multicore computing. - Georgios Georgakarakos; Sudeep Kanur; Johan Lilius; Karol Desnos (SiPS, 2017)

Porting a PCA-based hyperspectral image dimensionality reduction algorithm for brain cancer detection on a manycore architecture. - Raquel Lazcano; Daniel Madroñal; Rubén Salvador; Karol Desnos; Maxime Pelcat; Raúl Guerra; Himar Fabelo; Samuel Ortega; Sebastián López; Gustavo M. Callicó; Eduardo Juárez Martínez; César Sanz (J. Syst. Archit., 2017)

Smart search space reduction for approximate computing: A low energy HEVC encoder case study. - Alexandre Mercat; Justine Bonnot; Maxime Pelcat; Karol Desnos; Wassim Hamidouche; Daniel Ménard (J. Syst. Archit., 2017)

Automatic instrumentation of dataflow applications using PAPI. - Daniel Madroñal; Antoine Morvan; Raquel Lazcano; Rubén Salvador; Karol Desnos; Eduardo Juárez Martínez; César Sanz (CF, 2018)

Cassis: Characterization with Adaptive Sample- Size Inferential Statistics Applied to Inexact Circuits. - Justine Bonnot; Vincent Camus; Karol Desnos; Daniel Ménard (EUSIPCO, 2018)

A Fast and Fuzzy Functional Simulator of Inexact Arithmetic Operators for Approximate Computing Systems. - Justine Bonnot; Karol Desnos; Maxime Pelcat; Daniel Ménard (ACM Great Lakes Symposium on VLSI, 2018)

Embedded Runtime for Reconfigurable Dataflow Graphs on Manycore Architectures. - Hugo Miomandre; Julien Hascoët; Karol Desnos; Kevin J. M. Martin; Benoît Dupont de Dinechin; Jean-François Nezan (PARMA-DITAM@HiPEAC, 2018)

A Distributed Framework for Low-Latency OpenVX over the RDMA NoC of a Clustered Manycore. - Julien Hascoet; Benoît Dupont de Dinechin; Karol Desnos; Jean-François Nezan (HPEC, 2018)

Stochastic Modeling to Accelerate Approximate Operators Simulation. - Justine Bonnot; Karol Desnos; Daniel Ménard (ISCAS, 2018)

Model-Based Programming for Multi-processor Platforms with TTool/DIPLODOCUS and OMC. - Andrea Enrici; Julien Lallet; Renaud Pacalet; Ludovic Apvrille; Karol Desnos; Imran Latif (MODELSWARD (Revised Selected Papers), 2018)

Energy-Efficient Actor Execution for SDF Application on Heterogeneous Architectures. - Hergys Rexha; Sébastien Lafond; Karol Desnos (PDP, 2018)

Delays and states in dataflow models of computation. - Florian Arrestier; Karol Desnos; Maxime Pelcat; Julien Heulot; Eduardo Juárez 001; Daniel Ménard (SAMOS, 2018)

Algorithm-level approximation for fast (or not) embedded stereovision algorithm. - Justine Bonnot; Karol Desnos; Daniel Ménard (SAMOS, 2018)

Reproducible Evaluation of System Efficiency With a Model of Architecture: From Theory to Practice. - Maxime Pelcat; Alexandre Mercat; Karol Desnos; Luca Maggiani; Yanzhou Liu 001; Julien Heulot; Jean-François Nezan; Wassim Hamidouche; Daniel Ménard; Shuvra S. Bhattacharyya (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Comparing Three Clustering-based Scheduling Methods for Energy-Aware Rapid Design of MP2SoCs. - Manel Ammar; Mouna Baklouti; Maxime Pelcat; Karol Desnos; Mohamed Abid (J. Signal Process. Syst., 2018)

CERBERO: Cross-layer modEl-based fRamework for multi-oBjective dEsign of reconfigurable systems in unceRtain hybRid envirOnments: Invited paper: CERBERO teams from UniSS, UniCA, IBM Research, TASE, INSA-Rennes, UPM, USI, Abinsula, AmbieSense, TNO, S&T, CRF. - Francesca Palumbo; Tiziana Fanni; Carlo Sau; Luca Pulina; Luigi Raffo; Michael Masin; Evgeny Shindin; Pablo Sanchez de Rojas; Karol Desnos; Maxime Pelcat; Alfonso Rodríguez 002; Eduardo Juárez 001; et al. (CF, 2019)

Accuracy Evaluation Based on Simulation for Finite Precision Systems Using Inferential Statistics. - Justine Bonnot; Karol Desnos; Daniel Ménard (ICASSP, 2019)

Modeling Nested for Loops with Explicit Parallelism in Synchronous DataFlow Graphs. - Alexandre Honorat; Karol Desnos; Maxime Pelcat; Jean-François Nezan (SAMOS, 2019)

Hardware/Software Self-adaptation in CPS: The CERBERO Project Approach. - Francesca Palumbo; Tiziana Fanni; Carlo Sau; Alfonso Rodríguez 002; Daniel Madroñal; Karol Desnos; Antoine Morvan; Maxime Pelcat; Claudio Rubattu; Raquel Lazcano; Luigi Raffo; Eduardo de la Torre; et al. (SAMOS, 2019)

PAPIFY: Automatic Instrumentation and Monitoring of Dynamic Dataflow Applications Based on PAPI. - Daniel Madroñal; Florian Arrestier; Jaime Sancho; Antoine Morvan; Raquel Lazcano; Karol Desnos; Rubén Salvador; Daniel Ménard; Eduardo Juárez Martínez; César Sanz (IEEE Access, 2019)

Dataflow-Functional High-Level Synthesis for Coarse-Grained Reconfigurable Accelerators. - Claudio Rubattu; Francesca Palumbo; Carlo Sau; Rubén Salvador; Jocelyn Sérot; Karol Desnos; Luigi Raffo; Maxime Pelcat (IEEE Embed. Syst. Lett., 2019)

DAMHSE: Programming heterogeneous MPSoCs with hardware acceleration using dataflow-based design space exploration and automated rapid prototyping. - Leonardo Suriano; Florian Arrestier; Alfonso Rodríguez 002; Julien Heulot; Karol Desnos; Maxime Pelcat; Eduardo de la Torre (Microprocess. Microsystems, 2019)

Numerical Representation of Directed Acyclic Graphs for Efficient Dataflow Embedded Resource Allocation. - Florian Arrestier; Karol Desnos; Eduardo Juárez 001; Daniel Ménard (ACM Trans. Embed. Comput. Syst., 2019)

Fast Kriging-based Error Evaluation for Approximate Computing Systems. - Justine Bonnot; Daniel Ménard; Karol Desnos (DATE, 2020)

Scheduling of Synchronous Dataflow Graphs with Partially Periodic Real-Time Constraints. - Alexandre Honorat; Karol Desnos; Shuvra S. Bhattacharyya; Jean-François Nezan (RTNS, 2020)

A Fast Heuristic to Pipeline SDF Graphs. - Alexandre Honorat; Karol Desnos; Mickaël Dardaillon; Jean-François Nezan (SAMOS, 2020)

Passive-Active Flowgraphs for Efficient Modeling and Design of Signal Processing Systems. - Yaesop Lee; Yanzhou Liu 001; Karol Desnos; Lee Barford; Shuvra S. Bhattacharyya (J. Signal Process. Syst., 2020)

Gegelati: Lightweight Artificial Intelligence through Generic and Evolvable Tangled Program Graphs. - Karol Desnos; Nicolas Sourbier; Pierre-Yves Raumer; Olivier Gesny; Maxime Pelcat (DASIP, 2021)

Influence of Dataflow Graph Moldable Parameters on Optimization Criteria. - Alexandre Honorat; Thomas Bourgoin; Hugo Miomandre; Karol Desnos; Daniel Ménard; Jean-François Nezan (DASIP, 2022)

Expert training: Enhancing AI resilience to image coding artifacts. - Alban Marie; Karol Desnos; Luce Morin; Lu Zhang 037 (Image Processing: Algorithms and Systems, 2022)

Video Coding for Machines: Large-Scale Evaluation of Deep Neural Networks Robustness to Compression Artifacts for Semantic Segmentation. - Alban Marie; Karol Desnos; Luce Morin; Lu Zhang 037 (MMSP, 2022)

Ultra-Fast Machine Learning Inference through C Code Generation for Tangled Program Graphs. - Karol Desnos; Thomas Bourgoin; Mickaël Dardaillon; Nicolas Sourbier; Olivier Gesny; Maxime Pelcat (SiPS, 2022)

SECURE-GEGELATI Always-On Intrusion Detection through GEGELATI Lightweight Tangled Program Graphs. - Nicolas Sourbier; Karol Desnos; Thomas Guyet; Frédéric Majorczyk; Olivier Gesny; Maxime Pelcat (J. Signal Process. Syst., 2022)

SCAPE: HW-Aware Clustering of Dataflow Actors for Tunable Scheduling Complexity. - Ophélie Renaud; Dylan Gageot; Karol Desnos; Jean-François Nezan (DASIP, 2023)

Automated Clustering and Pipelining of Dataflow Actors for Controlled Scheduling Complexity. - Ophélie Renaud; Naouel Haggui; Karol Desnos; Jean-François Nezan (EUSIPCO, 2023)

Towards Machine Perception Aware Image Quality Assessment. - Alban Marie; Karol Desnos; Chen Fu; Jinjia Zhou; Luce Morin; Lu Zhang 037 (MMSP, 2023)

Tangled Program Graph for Radio-Frequency Fingerprint Identification. - Alice Chillet; Baptiste Boyer; Robin Gerzaguet; Karol Desnos; Matthieu Gautier (PIMRC, 2023)

Evaluation of Image Quality Assessment Metrics for Semantic Segmentation in a Machine-to-Machine Communication Scenario. - Alban Marie; Karol Desnos; Luce Morin; Lu Zhang 037 (QoMEX, 2023)

Design Automation and Multi-Objective Optimizations for High-Performance Embedded Software. (Automatisation de la conception et optimisations multi-objective pour logiciel embarqués à haute performance). - Karol Desnos (2024)

An Initial Framework for Prototyping Radio-Interferometric Imaging Pipelines. - Sunrise Wang; Nicolas Gac; Hugo Miomandre; Jean-François Nezan; Karol Desnos; François Orieux (DASIP, 2024)

Multicore and Network Topology Codesign for Pareto-Optimal Multinode Architecture. - Ophélie Renaud; Karol Desnos; Erwan Raffin; Jean-François Nezan (EUSIPCO, 2024)

How to Design a Channel-Resilient Database for Radio Frequency Fingerprint Identification? - Alice Chillet; Robin Gerzaguet; Karol Desnos; Matthieu Gautier; Elena Simona Lohan; Erwan Nogues; Mikko Valkama (ICC, 2024)

Hybrid Genetic Programming and Deep Reinforcement Learning for Low-Complexity Robot Arm Trajectory Planning. - Quentin Vacher; Nicolas Beuve; Paul Allaire; Thibaut Marty; Mickaël Dardaillon; Karol Desnos (IJCCI, 2024)

Tangled Program Graphs as an alternative to DRL-based control algorithms for UAVs. - Hubert Szolc; Karol Desnos; Tomasz Kryjak (SPA, 2024)

Automated level-based clustering of dataflow actors for controlled scheduling complexity. - Ophélie Renaud; Hugo Miomandre; Karol Desnos; Jean-François Nezan (J. Syst. Archit., 2024)

Understanding Radio Frequency Fingerprint Identification With RiFyFi Virtual Databases. - Alice Chillet; Robin Gerzaguet; Karol Desnos; Matthieu Gautier; Elena Simona Lohan; Erwan Nogues; Mikko Valkama (IEEE Open J. Commun. Soc., 2024)

Advanced fine-tuning procedures to enhance DNN robustness in visual coding for machines. - Alban Marie; Karol Desnos; Alexandre Mercat; Luce Morin; Jarno Vanne; Lu Zhang 037 (EURASIP J. Image Video Process., 2024)

MAPLE: Multi-Action Programs through Linear Evolution for Continuous Multi-Action Reinforcement Learning. - Quentin Vacher; Stephen Kelly; Ali Naqvi; Nicolas Beuve; Tanya Djavaherpour; Mickaël Dardaillon; Karol Desnos (GECCO, 2025)