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Models of Architecture

Maxime Pelcat , Karol Desnos , Luca Maggiani , Yanzhou Liu , Julien Heulot , et al.
[Research Report] PREESM/2015-12TR01, 2015, IETR/INSA Rennes; Scuola Superiore Sant’Anna, Pisa; Institut Pascal, Clermont Ferrand; University of Maryland, College Park; Tampere University of Technology, Tampere. 2015
Rapport hal-01244470v1
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CASSIS: Characterization with Adaptive Sample-Size Inferential Statistics Applied to Inexact Circuits

Justine Bonnot , Vincent Camus , Karol Desnos , Daniel Menard
EUSIPCO: EUropean SIgnal Processing Conference, Sep 2018, Rome, Italy. ⟨10.23919/eusipco.2018.8553451⟩
Communication dans un congrès hal-01879628v2
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SCAPE: HW-Aware Clustering of Dataflow Actors for Tunable Scheduling Complexity

Ophélie Renaud , Dylan Gageot , Karol Desnos , Jean-François Nezan
DASIP 2023 - Workshop on Design and Architectures for Signal and Image Processing, HiPEAC, Jan 2023, Toulouse, France. pp.3-14, ⟨10.1007/978-3-031-29970-4_1⟩
Communication dans un congrès hal-04089941v1
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Modeling Nested for Loops with Explicit Parallelism in Synchronous DataFlow Graphs

Alexandre Honorat , Karol Desnos , Maxime Pelcat , Jean-François Nezan
Embedded Computer Systems: Architectures, Modeling, and Simulation, Jul 2019, Pythagorion, Samos Island, Greece. pp.269-280, ⟨10.1007/978-3-030-27562-4_19⟩
Communication dans un congrès hal-02267487v2
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Dataflow Modeling for Reconfigurable Signal Processing Systems

Karol Desnos , Francesca Palumbo
Handbook of Signal Processing Systems, 3rd Edition, pp.787-824, 2019, ⟨10.1007/978-3-319-91734-4_22⟩
Chapitre d'ouvrage hal-01899410v1
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Memory Study and Dataflow Representations for Rapid Prototyping of Signal Processing Applications on MPSoCs

Karol Desnos
Signal and Image processing. INSA de Rennes, 2014. English. ⟨NNT : 2014ISAR0004⟩
Thèse tel-01127297v1
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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
Roger Lee. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2015, 612, Springer, pp.195-211, 2016, Studies in Computational Intelligence, 978-3-319-23509-7. ⟨10.1007/978-3-319-23509-7_14⟩
Chapitre d'ouvrage hal-01252511v1

CERBERO Cross-layer modEl-based fRamework for multi-oBjective dEsign of Reconfigurable systems in unceRtain hybRid envirOnments

F. Palumbo , T. Fanni , C. Sau , L. Pulina , L. Raffo , et al.
16th ACM International Conference on Computing Frontiers, CF 2019, Apr 2019, Alghero, Italy. pp.320-325, ⟨10.1145/3310273.3323436⟩
Communication dans un congrès hal-02161022v1
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Delays and States in Dataflow Models of Computation

Florian Arrestier , Karol Desnos , Maxime Pelcat , Julien Heulot , Eduardo Juarez , et al.
SAMOS XVIII, Jul 2018, Pythagorion, Greece. ⟨10.1145/3229631.3229645⟩
Communication dans un congrès hal-01850252v1

Energy-Efficient Actor Execution for SDF Application on Heterogeneous Architectures

H. Rexha , S. Lafond , Karol Desnos
26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2018, Mar 2018, Cambridge, United Kingdom. pp.486-493, ⟨10.1109/PDP2018.2018.00083⟩
Communication dans un congrès hal-01834878v1
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Real-Time Low Power Software HEVC Decoder on Embedded GPP: A Side-by-Side Comparison

Erwan Raffin , Erwan Nogues , Morgan Lacour , Maxime Pelcat , Daniel Menard , et al.
Design and Architectures for Signal and Image Processing (DASIP), Sep 2015, Cracow, Poland
Communication dans un congrès hal-01205912v1
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Adaptive Simulation-based Framework for Error Characterization of Inexact Circuits

Justine Bonnot , Vincent Camus , Karol Desnos , Daniel Menard
Microelectronics Reliability, 2019, 96, pp.60-70. ⟨10.1016/j.microrel.2019.02.007⟩
Article dans une revue hal-02094908v1
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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
International Workshop on Multimedia Signal Processing (MMSP), Sep 2022, Shanghai, China
Communication dans un congrès hal-03831514v1
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Throughput Evaluation of DSP Applications based on Hierarchical Dataflow Models

Hamza Deroui , Karol Desnos , Jean-François Nezan , Alix Munier-Kordon
International Symposium on Circuits and Systems (ISCAS), May 2017, Baltimore, United States. ⟨10.1109/ISCAS.2017.8050774⟩
Communication dans un congrès hal-01514641v1
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Gegelati: Lightweight Artificial Intelligence through Generic and Evolvable Tangled Program Graphs

Karol Desnos , Nicolas Sourbier , Pierre-Yves Raumer , Olivier Gesny , Maxime Pelcat
Workshop on Design and Architectures for Signal and Image Processing (DASIP), Jan 2021, Budapest, Hungary. ⟨10.1145/3441110.3441575⟩
Communication dans un congrès hal-03057652v2
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PAPIFY: Automatic Instrumentation and Monitoring of Dynamic Dataflow Applications Based on PAPI

Daniel Madronal , Florian Arrestier , Jaime Sancho , Antoine Morvan , Raquel Lazcano , et al.
IEEE Access, 2019, 7, pp.111801-111812. ⟨10.1109/ACCESS.2019.2934223⟩
Article dans une revue hal-02302609v1
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Embedded Runtime for Reconfigurable Dataflow Graphs on Manycore Architectures

Hugo Miomandre , Julien Hascoët , Karol Desnos , Kevin Martin , Benoît Dupont de Dinechin , et al.
PARMA-DITAM, Jan 2018, Manchester, United Kingdom. ⟨10.1145/3183767.3183780⟩
Communication dans un congrès hal-01704702v1
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PiSDF: Parameterized & Interfaced Synchronous Dataflow for MPSoCs Runtime Reconfiguration

Karol Desnos , Julien Heulot
1st Workshop on MEthods and TOols for Dataflow PrOgramming (METODO), ECSI, Oct 2014, Madrid, Spain
Communication dans un congrès hal-01075114v1

Scheduling of Parallelized Synchronous Dataflow Actors for Multicore Signal Processing

Zheng Zhou , William Plishker , Shuvra S Bhattacharyya , Karol Desnos , Maxime Pelcat , et al.
Journal of Signal Processing Systems, 2016, 83 (3), pp.309-328. ⟨10.1007/s11265-014-0956-2⟩
Article dans une revue hal-01075092v1

Automatic instrumentation of dataflow applications using PAPI

D. Madronal , A. Morvan , R. Lazcano , R. Salvador , Karol Desnos , et al.
15th ACM International Conference on Computing Frontiers, CF 2018, May 2018, Ischia, Italy. pp.232-235, ⟨10.1145/3203217.3209886⟩
Communication dans un congrès hal-01881032v1

Analysis of the Impact of Approximate Computing on the Application Quality

Justine Bonnot , Daniel Ménard , Karol Desnos
Approximate Computing Techniques: From Component- to Application-Level, Springer, pp.145-176, 2022, ⟨10.1007/978-3-030-94705-7_6⟩
Chapitre d'ouvrage hal-04217763v1
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An Initial Framework for Prototyping the Radio-Interferometric Imaging Pipelines

Sunrise Wang , Nicolas Gac , Hugo Miomandre , Jean-François Nezan , Karol Desnos , et al.
DASIP 2024 - Workshop on Design and Architectures for Signal and Image Processing, HiPEAC, Jan 2024, Munich, Germany
Communication dans un congrès hal-04361151v3
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SECURE-GEGELATI Always-On Intrusion Detection through GEGELATI Lightweight Tangled Program Graphs

Nicolas Sourbier , Karol Desnos , Thomas Guyet , Frédéric Majorczyk , Olivier Gesny , et al.
Journal of Signal Processing Systems, 2022, Design and Architectures for Signal and Image Processing 2021, 94 (7), pp.753-770. ⟨10.1007/s11265-021-01728-1⟩
Article dans une revue hal-03554393v1
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Study of the Impact of Standard Image Compression Techniques on Performance of Image Classification with a Convolutional Neural Network

Mathieu Dejean-Servières , Karol Desnos , Kamel Abdelouahab , Wassim Hamidouche , Luce Morin , et al.
[Research Report] INSA Rennes; Univ Rennes; IETR; Institut Pascal. 2017
Rapport hal-01725126v1
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Expert Training: Enhancing AI Resilience to Image Coding Artifacts

Alban Marie , Karol Desnos , Luce Morin , Lu Zhang
Electronic Imaging, Image Processing: Algorithms and Systems XX, Jan 2022, San Francisco, United States
Communication dans un congrès hal-03555716v1
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PREESM: A Dataflow-Based Rapid Prototyping Framework for Simplifying Multicore DSP Programming

Maxime Pelcat , Karol Desnos , Julien Heulot , Clément Guy , Jean François Nezan , et al.
EDERC, Sep 2014, Italy. pp.36
Communication dans un congrès hal-01059313v1
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Automated Clustering and Pipelining of Dataflow Actors for Controlled Scheduling Complexity

Ophélie Renaud , Naouel Haggui , Karol Desnos , Jean-François Nezan
EUSIPCO, EURASIP, Sep 2023, Helsiinki, Finland
Communication dans un congrès hal-04253298v1
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PiMM: Parameterized and Interfaced dataflow Meta-Model for MPSoCs runtime reconfiguration

Karol Desnos , Maxime Pelcat , Jean-François Nezan , Shuvra S Bhattacharyya , Slaheddine Aridhi
13th International Conference on Embedded Computer Systems: Architecture, Modeling and Simulation (SAMOS XIII), Jul 2013, Samos, Greece. pp.41 - 48, ⟨10.1109/SAMOS.2013.6621104⟩
Communication dans un congrès hal-00877492v2
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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 , et al.
DASIP, Oct 2012, Karlsruhe, Germany
Communication dans un congrès hal-00749175v1
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MARTE to PiSDF transformation for data-intensive applications analysis

Manel Ammar , Mouna Baklouti , Maxime Pelcat , Karol Desnos , Mohammed Abid
Design & Architectures for Signal & Image Processing (DASIP), Oct 2014, Madrid, Spain
Communication dans un congrès hal-01122725v1