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