Ophélie Renaud

Post-doctoral researcher in HPC & Astronomy

Photo de Ophelie Renaud

Welcome

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I am a post-doctoral researcher at the Institute of Computing (IC), University of Campinas (UNICAMP), Brazil, supported by FAPESP. I am a member of the Laboratório de Sistemas de Computação (LSC).

I obtained my PhD in Signal, Image, and Vision from INSA Rennes in 2024, conducting my research within the VAADER team at the IETR laboratory.

I subsequently held a postdoctoral position jointly between ENS Rennes, SATIE, ENS Paris-Saclay, and the MAGELLAN team at IRISA.

My research interests include High-Performance Computing (HPC), dataflow programming, resource allocation, granularity adaptation, compilation, and runtime systems for heterogeneous and distributed architectures. During my PhD and first postdoctoral research, I developed model-driven methodologies for the optimization and deployment of radio astronomy imaging applications targeting the Square Kilometre Array (SKA) and related HPC systems.

My current work focuses on runtime, compilation, and programming model optimizations for the OpenMP Cluster Model, aiming to improve the performance and programmability of large-scale distributed-memory systems.

SKA
Computer Science Parallel Computing High Performance Computing Algorithms Optimization Distributed Systems Rapid Prototyping Dataflow Programming

Research Timeline

2021 – 2024

PhD Student

Signal, Image, Vision at INSA Rennes, IETR lab.

Develop hardware-aware methodology for static resource allocation: granularity optimization for distributed (SimSDP) and shared memory architecture (SCAPE)

Contribute and collaborate through the labCom ECLAT Initiative.

Benefits from collaborations and knowledge exchanges through the Rising STARS initiative.

Supervised by Prof. Jean-François Nezan and Prof. Karol Desnos.

ANR Dark Era LabCom ECLAT Rising STARS
2024 – Mar 2026

Postdoctoral Fellow

ENS Rennes, SATIE Paris-Saclay, MAGELLAN IRISA

Develop methodology for systematic exploration of algorithmic, architectural, and distributed execution strategies for radio-interferometric imaging pipelines

Contribute and collaborate through the labCom ECLAT Initiative.

Supervised by Prof. Nicolas Gac and Prof. Martin Quinson.

ANR Dark Era LabCom ECLAT
June 2026 – Apr 2028

Postdoctoral Fellow

Institute of Computing (IC), UNICAMP, Brazil

Research on runtime, compilation, and directive optimizations for the OpenMP Cluster Model, targeting scalable HPC systems.

FAPESP Post-Doctoral Fellowship.

Supervised by Prof. Hervé Yviquel.

FAPESP

Research Partners