Ophélie Renaud

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Affiliation actuelle
  • Institut d'Électronique et des Technologies du numéRique (IETR)
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Présentation

My research focuses on exploring clustering techniques based on Synchronous Dataflow (SDF), which aims to provide a universal description of an application that is portable across various architecture types. These clustering techniques enable the resulting granularity description to seamlessly align with the target architecture.

Publications

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Publications

Image document

Automated Deployment of Radio Astronomy Pipeline on CPU-GPU Processing Systems: DiFX as a Case Study

Ewen Michel , Ophélie Renaud , Karol Desnos , Adam T. Deller , Chris Phillips et al.
Astronomical Data Analysis Software & Systems (ADASS) XXXIV, Nov 2024, La Valetta, Malta
Communication dans un congrès hal-04744986 v1
Image document

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-04089941 v1
Image document

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-04253298 v1