Claude Tadonki

Chargé de recherche

Adresse e-mail: claude.tadonki@minesparis.psl.eu
Discipline(s): Informatique
Thème(s): Impact de l'IA, Informatique

Mots-clés

Équipe

CRI

Biographie

Claude Tadonki est un chercheur spécialisé dans les domaines du calcul haute performance (HPC) et de l’optimisation des systèmes informatiques. Ses travaux se concentrent sur l’amélioration des performances et de l’efficacité énergétique des architectures parallèles, notamment dans le contexte des supercalculateurs et des infrastructures cloud. Ses recherches abordent des problématiques telles que la parallélisation des algorithmes, l’optimisation des communications inter-processeurs, et l’adaptation des applications aux architectures matérielles modernes, incluant les processeurs multi-cœurs et les accélérateurs GPU. Une part importante de ses contributions porte sur l’analyse et la modélisation des performances des applications en intelligence artificielle (IA), en particulier pour les modèles de deep learning, où il explore les compromis entre temps d’exécution, consommation énergétique et précision des calculs. Ses travaux récents incluent également le développement d’outils et de méthodologies pour le profilage énergétique, la gestion des données dans les environnements distribués, et la tolérance aux pannes dans les applications parallèles itératives.

Publication(s)

2026
Leveraging cutting-edge high performance computing for large-scale applications DOI : 10.1016/j.future.2026.108374
2025
ROPH: A Robust, Optimized, and Parallelized Harris Detector with Flexible FAST-Based Pruning DOI : 10.1109/SBAC-PADW69789.2025.00015
2025
EAS-Sim: A Framework and its Methodology for the Co-Design of Multi-Objective, Energy-Aware Schedulers for AI Clusters DOI : 10.1145/3731599.3767568
2025
A Framework for Analytical Performance and Energy Prediction of DL Training on GPUs DOI : 10.1109/SBAC-PAD66369.2025.00028
2025
Efficient SIMD and Shared-Memory Parallelization of 3D Acoustic Wave Propagation Simulation DOI : 10.1109/SBAC-PADW69789.2025.00014
2025
Energy-Aware Deep Learning on GPUs through Parameter Sharing and Mixed Precision Training DOI : 10.1109/SBAC-PADW69789.2025.00024
2025
Preface
2025
Benchmark-Based Study of CPU/GPU Power-Related Features Through JAX and TensorFlow DOI : 10.1109/ACCESS.2025.3625414
2024
DeLIA: A Dependability Library for Iterative Applications applied to parallel geophysical problems DOI : 10.1016/j.cageo.2024.105662
2024
Welcome from the General Chair DOI : 10.1109/SBAC-PADW64858.2024.00007
2024
Power Consumption in HPC-AI Systems DOI : 10.1007/978-3-031-78698-3_6
2024
The Need for HPC in AI Solutions DOI : 10.1007/978-3-031-78698-3_8
2024
Preface
2024
Welcome from the General Chair DOI : 10.1109/SBAC-PADW64858.2024.00008
2024
Experimental Study of Power Consumption of Basic Parallel Programs DOI : 10.1109/SBAC-PADW64858.2024.00016
2024
A Flexible Operational Framework for Energy Profiling of Programs DOI : 10.1109/SBAC-PADW64858.2024.00014
2024
DFMCloudsim: an extension of cloudsim for modeling and simulation of data fragments migration over distributed data centers DOI : 10.1080/1206212X.2023.2277554
2023
Dynamic data replication and placement strategy in geographically distributed data centers DOI : 10.1002/cpe.6858
2023
Optimizing computational costs of Spark for SARS-CoV-2 sequences comparisons on a commercial cloud DOI : 10.1002/cpe.7678
2023
Message from the General Chair WAMCA 2023 DOI : 10.1109/SBAC-PADW60351.2023.00007
2023
Online Task Scheduling of Big Data Applications in the Cloud Environment DOI : 10.3390/info14050292
2023
A New Classification for Data Placement Techniques in Cloud Computing DOI : 10.1109/CloudTech58737.2023.10366156
2023
A Source-to-Source NUMA Profiling Approach DOI : 10.1109/SBAC-PADW60351.2023.00018
2023
What do HPC applications look like? DOI : 10.1007/978-3-031-29769-4_3
2022
Message from the WAMCA 2022 Workshop General Chair DOI : 10.1109/SBAC-PADW56527.2022.00006
2022
Intermediate Representations for Explicitly Parallel Programs DOI : 10.1145/3452299
2021
DT-MG: many-to-one matching game for tasks scheduling towards resources optimization in cloud computing DOI : 10.1080/1206212X.2018.1519630
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
2020
A Big Data Placement Strategy in Geographically Distributed Datacenters DOI : 10.1109/CloudTech49835.2020.9365881
2020
Message from the WAMCA 2020 General Chair: SBAC-PAD 2020 DOI : 10.1109/SBAC-PAD49847.2020.00053
2020
Workshop 15: MPP Parallel Programming Models - Special Edition Machine Learning Performance and Security DOI : 10.1109/IPDPSW50202.2020.00141
2020
Performance analysis and optimization of the vector-kronecker product multiplication DOI : 10.1109/SBAC-PAD49847.2020.00044
2019
Data migration - Cloudsim extension DOI : 10.1145/3372454.3372472
2019
Efficient GPU implementation of lucas-Kanade through OpenACC DOI : 10.5220/0007272107680775
2019
Workflow scheduling issues and techniques in cloud computing: A systematic literature review DOI : 10.1007/978-3-319-97719-5_16
2019
Memory efficient deployment of an optical flow algorithm on GPU using openmp DOI : 10.1007/978-3-030-30645-8_44
2018
Meta-programming for cross-domain tensor optimizations DOI : 10.1145/3278122.3278131
2018
Meta-programming for Cross-Domain Tensor Optimizations DOI : 10.1145/3393934.3278131
2018
E-HEFT: Enhancement heterogeneous earliest finish time algorithm for task scheduling based on load balancing in cloud computing DOI : 10.1109/HPCS.2018.00100
2018
Harris corner detection on a NUMA manycore DOI : 10.1016/j.future.2018.01.048
2018
Analyzing fault tolerance mechanism of Hadoop Mapreduce under different type of failures DOI : 10.1109/CloudTech.2018.8713332
2018
Performance comparison between hadoop and spark frameworks using HiBench benchmarks DOI : 10.1002/cpe.4367
2018
CFDlang: High-level code generation for high-order methods in fluid dynamics DOI : 10.1145/3183895.3183900
2018
Evaluation of an OPENMP Parallelization of Lucas-Kanade on a NUMA-Manycore DOI : 10.1109/CAHPC.2018.8645936
2018
Profile-based vectorization for MATLAB DOI : 10.1145/3219753.3219756
2017
Towards Compositional and Generative Tensor Optimizations DOI : 10.1145/3136040.3136050
2017
Towards compositional and generative tensor optimizations DOI : 10.1145/3136040.3136050
2017
Message from the WAMCA 2017 Chairs DOI : 10.1109/SBAC-PADW.2017.5
2017
Scalable numa-aware wilson-Dirac on supercomputers DOI : 10.1109/HPCS.2017.56
2017
Comparative study between Hadoop and Spark based on Hibench benchmarks DOI : 10.1109/CloudTech.2016.7847709
2017
Message from the WAMCA 2016 workshop chairs DOI : 10.1109/SBAC-PADW.2016.6
2017
Dohko: an autonomic system for provision, configuration, and management of inter-cloud environments based on a software product line engineering method DOI : 10.1007/s10586-017-0897-1
2016
Autonomic Provisioning, Configuration, and Management of Inter-cloud Environments Based on a Software Product Line Engineering Method DOI : 10.1109/ICCAC.2016.13
2016
Power-aware server consolidation for federated clouds DOI : 10.1002/cpe.3807
2015
Automating Resource Selection and Configuration in Inter-clouds through a Software Product Line Method DOI : 10.1109/CLOUD.2015.101
2014
Excalibur: An autonomic cloud architecture for executing parallel applications DOI : 10.1145/2592784.2592786
2014
Automated code generation for Lattice Quantum Chromodynamics and beyond DOI : 10.1088/1742-6596/510/1/012005
2014
Dendrogram based algorithm for dominated graph flooding DOI : 10.1016/j.procs.2014.05.053
2014
A fine-grained approach for power consumption analysis and prediction DOI : 10.1016/j.procs.2014.05.211
2014
Seamless multicore parallelism in MATLAB DOI : 10.2316/P.2014.811-005
2012
3D shape retrieval using bag-of-feature method basing on local codebooks DOI : 10.1007/978-3-642-31254-0_44
2012
Accelerator-based implementation of the Harris algorithm DOI : 10.1007/978-3-642-31254-0_55
2012
Fast 3D shape retrieval method for classified databases DOI : 10.1109/ICoCS.2012.6458607
2011
Large scale Kronecker product on supercomputers DOI : 10.1109/WAMCA.2011.10
2011
Parallelization schemes for memory optimization on the cell processor: A case study on the Harris corner detector DOI : 10.1007/978-3-642-19448-1_10
2011
PetAQCD: En route for the Automatic Code generation for lattice QCD
2010
Ring pipelined algorithm for the algebraic path problem on the CELL Broadband Engine DOI : 10.1109/SBAC-PADW.2010.7
2009
Algorithmic skeletons within an embedded domain specific language for the cell processor DOI : 10.1109/PACT.2009.21
2007
Off-line power settings in wireless networks DOI : 10.1109/ISCIII.2007.367384
2006
Solving the p-median problem with a semi-lagrangian relaxation DOI : 10.1007/s10589-006-6513-6
2004
Parallel chip firing game associated with n-cube edges orientations DOI : 10.1007/978-3-540-24687-9_84
2004
An analytical model for energy minimization DOI : 10.1007/978-3-540-24838-5_41
2004
Efficient algorithm for linear pattern separation DOI : 10.1007/978-3-540-24685-5_118
2004
Combinatorial techniques for memory power state scheduling in energy-constrained systems DOI : 10.1007/978-3-540-24592-6_24
2004
Universal report: A generic reverse engineering tool
1999
The algebraic path problem revisited DOI : 10.1007/3-540-48311-x_99

Enseignements

Architecture matérielle et logicielle des ordinateurs

Responsable

https://www.cri.ensmp.fr/people/tadonki/cours/cours_archi_mines.pdf

Direction(s) de thèse(s)

2022 intelligence artificielle haute-performance efficace en énergie : de la mesure et la modélisation à l'ordonnancement multi-objectifs NANA TCHAKOUTE Roblex
2015 Analyse et compilation de langages de programmation parallèle SUSUNGI Adilla
2015 Analyses de performances et transformations de code pour les applications MATLAB KIEPAS Patryk