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Claude Tadonki

Claude Tadonki

Researcher Scientist

Center · CRI

Discipline(s)
Computer Science
Topic(s)
AI Impact, Computer Science

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)

Teaching

Computer Hardware and Software Architecture

Course Director

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