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Frédéric Bonnet

Research engineer, Physicist, Mathematician and Computer Scientist HPC and System Administrator

Driving License
Grenoble (France) France
Professional Status
Student
Available
About Me
Physicist, mathematican and computer scientist specilized in HPC, System administration and Cybersecurity.
  • Able to work in a team with rigor, motivation and dynamics.
  • Curious : strong desire to learn and discover new technologies as well as extend my personal development. Innovator and creative.
  • Research, conception and software development.
  • Kernel development on GPU in CUDA-C and OpenCL.
  • Software engineering in multiple languages (Bash/Python/f90, C/C++/CUDA-C, Java, OpenMP, OpenCL).
  • Development and modification of Makefile/CMake/Bootstrap.
  • Connection and linking with libraries MPI/MPI-2, CUBLAS, Lapack, Blas, OpenCL, Magma etc...
  • Tests and benchmark of algorithms and applications on CPU and hybrid CPU/GPU machines.
  • Data analysis.
  • Analysis and parsing of output files in JSon, Yaml, XML/CML construction of classes and packages in Java.
  • Development of algorithms.
  • Development of GUI interfaces and GridBean in Java.
  • Able to work in a team dynamically with rigor and motivation to resolve software engineering problems and bugs.
  • Curious : strong desire to learn and discover new technologies as well as extend my personal development. Innovator and creative.
  • LANGUAGES : F77, F90, C, C++, Java, MPI/MPI-2, CUDA C, OpenCL, OpenHMPP, OpenMP, HTML, XML/CML, YAML, Python, Perl, C#, Q#, Cirq, and some Qiskit
  • SYSTEMES : Windows, Mac OS, linux, UNIX.
  • NETWORKS : Modbus, Ethernet, TCP/IP
  • SOFTWARE : Word, Excel, PowerPoint, LibreOffice suite, Latex, Mathematica, Physica, AVS Express, ROOT/PROOF.
  • TOOLS : Eclipse, Netbean, MatLab, Git, SVN.
  • Development of Quantum algorithms. Theoretical development from physics, languages used Cirq, Q#, MyQLM
  • Particles physics. Theoretical and mathematical physics. Statistical physics. Lattice QCD.
  • Modeling, algorithms, numerical analysis.
  • Numerical simulation on machines with parallel architecture with Monte Carlo methods.
  • Data analysis.
  • Phenomenological system in the theory of strong interactions.
  • Modeling and visualization of complex physical system.
  • Management of the production simulations over a forecast period of time. The results were then published in international journals (Physical Review D).
  • DFT methods for molecular systems and tight binding ab initio methods for transport in condensedmatter physics.
  • Presentation of results via oral and written presentation.
  • Can adapt to an abstract formalism. Follow methodological and rigorous procedures. Integrate diversified information from different sources. Analyze and synthesize some scientific information and techniques. Respect the confidentiality of the information. Follow rules within the organization.
  • Differential geometry. Ordinary and partial differential equations. Topology. Group theory: Abelian and non-Abelian. Lie Algebras and Lie groups, non-commutative geometry. Distribution theory. Stochastic calculus, financial mathematics, stochastic processes. Time series and econometrics. Integral equation and integration theory, as well as numerical integration. Discretisation methods. Statistical methods. Non-commutative geometry.
  • EuroHPC User Days 2025 – Invinted speaker in the HEP session.
  • Lattice 2024 – Liverpool University
  • GridKA School 2012. Cloud and Grid computing – KIT
  • Summer school: “towards petaflop numerical simulation on parallel hybrid
    architecture” - INRIA
  • Workshop/Training on the use of GPU CCRT - CEA-CCRT
  • Formation MPI/OpenMP at CCRT - CEA-CCRT