Biography
Corinne Ancourt-Le Quellene is a researcher specializing in code optimization and parallel compilation, with a strong expertise in polyhedral techniques and the application of machine learning to performance optimization. Her work focuses notably on improving loop transformations, such as *tiling*, to exploit data locality and parallelism by integrating advanced methods like *machine learning* to refine the parameterization of transformations. She has also contributed to the development of innovative solutions for detecting nested objects, particularly in the field of beekeeping, by combining neural architectures like Mask R-CNN with multi-dataset approaches. Her research extends to the design of configurable tools for polyhedral optimization, such as PolyTOPS, adaptable to heterogeneous architectures like NPUs, as well as the automation of benchmark generation for evaluating optimization techniques.
Publication(s)
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2026
Tiling Parameters Prediction Using Machine Learning Techniques DOI : 10.1007/978-3-032-02436-7_5
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2024
Nested object detection using mask R-CNN: application to bee and varroa detection DOI : 10.1007/s00521-024-10393-x
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2024
PolyTOPS: Reconfigurable and Flexible Polyhedral Scheduler DOI : 10.1109/CGO57630.2024.10444791
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2024
ParameTrick: Coefficient Generalization for Faster Polyhedral Scheduling
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2023
Tiling parameters prediction using Machine Learning techniques
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2022
Digital Transformation of Beekeeping through the Use of a Decision Making Architecture DOI : 10.3390/app122111179
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2022
Generating Proposals from Corners in RPN to Detect Bees in Dense Scenes DOI : 10.5220/0010815000003124
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2022
COLA-Gen: Active Learning Techniques for Automatic Code Generation of Benchmarks DOI : 10.4230/OASIcs.PARMA-DITAM.2022.3
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2021
Using Performance Event Profiles to Deduce an Execution Model of MATLAB with Just-In-Time Compilation DOI : 10.1007/978-3-030-72789-5_6
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2020
PNAPI Digital Support Platform for Beekeepers
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2019
Survey on AI-based multimodal methods for emotion detection DOI : 10.1007/978-3-030-16272-6_11
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2019
Parallelization of hierarchical matrix algorithms for electromagnetic scattering problems DOI : 10.1007/978-3-030-16272-6_2
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2019
Locus: A System and a Language for Program Optimization DOI : 10.1109/CGO.2019.8661203
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2018
Profile-based vectorization for MATLAB DOI : 10.1145/3219753.3219756
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2017
Automatic Code Generation of Distributed Parallel Tasks DOI : 10.1109/CSE-EUC-DCABES.2016.190
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2017
Threewise: A local variance algorithm for GPU DOI : 10.1109/CSE-EUC-DCABES.2016.194
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2015
LLVM parallel intermediate representation: Design and evaluation using OpenSHMEM communications DOI : 10.1145/2833157.2833158
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2015
Parallelizing with BDSC, a resource-constrained scheduling algorithm for shared and distributed memory systems DOI : 10.1016/j.parco.2014.11.004
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2014
Automatic generation of communications for redundant multi-dimensional data parallel redistributions DOI : 10.1109/HPCC.and.EUC.2013.116
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2013
Task parallelism and data distribution: An overview of explicit parallel programming languages DOI : 10.1007/978-3-642-37658-0_12
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2010
A modular static analysis approach to affine loop invariants detection DOI : 10.1016/j.entcs.2010.09.002
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2006
A case study of design space exploration for embedded multimedia applications on SoCs DOI : 10.1109/RSP.2006.1
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2003
Automatic detection of uninitialized variables DOI : 10.1007/3-540-36579-6_16
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2001
Array resizing for scientific code debugging, maintenance and reuse DOI : 10.1145/379605.379656
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2000
PROMPT: A mapping environment for telecom applications on "System-On-a-Chip"
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1997
Linear algebra framework for static high performance Fortran code distribution DOI : 10.1155/1997/195689
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1997
Automatic data mapping of signal processing applications
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1996
Optimal compilation of HPF remappings DOI : 10.1006/jpdc.1996.0143
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1995
Minimal data dependence abstractions for loop transformations: Extended version DOI : 10.1007/BF02577771
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1995
Minimal data dependence abstractions for loop transformations DOI : 10.1007/bfb0025880
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1991
Scanning polyhedra with DO loops DOI : 10.1145/109626.109631
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1991
Scanning polyhedra with DO loops DOI : 10.1145/109625.109631
PhD supervision
- 2025 IMPROVEMENT OF DATA TRANSFERS AND PERFORMANCE ON HETEROGENEOUS ARCHITECTURES SAULEAU Luc
- 2025 Large language models for sequential decision-making ATTIA EL HILI Youssef
- 2024 Optimization of the placement of convolutional neural networks on hybrid architectures under resource constraints VIENS Arthur
- 2023 Static cost models of compilers for optimizing the energy performance of embedded software DESTAL Benjamin
- 2022 Intelligent agents for offline reinforcement learning with reduced interactions GAIZI Othman
- 2021 Configurable Polyhedral Scheduling for All-Scenario Deep Learning Compilers CONSOLARO Gianpietro
- 2019 Nested object detection in dense scenes using Deep Learning - Application to bee and varroa mite detection KRIOUILE Yassine
- 2018 The automation of source-to-source program optimizations using Machine Learning techniques BEREZOV Maksim
- 2015 Performance analyses and code transformations for MATLAB applications KIEPAS Patryk