Title:Study of architectures dedicated to intelligent and energy efficient embedded systems. Tasks performed:— RTL development of a multiplication-accumulation unit (MAC)— Use of hardware description languages Verilog / SystemVerilog— Simulation with ModelSim— Logic synthesis with Synopsys Design Compiler and Cadence Genus— Post-routing with Cadence Innovus— Use of Xilinx FPGA boards and associated software Vivado— Use of GitLab versioning software—… Show more Title:Study of architectures dedicated to intelligent and energy efficient embedded systems. Tasks performed:— RTL development of a multiplication-accumulation unit (MAC)— Use of hardware description languages Verilog / SystemVerilog— Simulation with ModelSim— Logic synthesis with Synopsys Design Compiler and Cadence Genus— Post-routing with Cadence Innovus— Use of Xilinx FPGA boards and associated software Vivado— Use of GitLab versioning software— Use of Bash and Python scripting languages for data manipulation— Programming in C of various algorithms, in particular of artificial intelligence (i.e. Machine Learning).— Use of C libraries for execution parallelism (i.e. OpenMP)— Handling of artificial neural networks in Python (ANN and CNN)— Use of Python libraries dedicated to Machine Learning (i.e. Tensorflow, Tensorflow Lite and Keras ...) Show less

Title:Study of energy efficiency multicore architectures for embedded systems.Tasks performed :— Programming in C of various algorithms in particular of artificial intelligence (i.e. Machine Learning).— Use of C library for execution parallelism (i.e. Pthread)— Handling of artificial intelligence algorithms (e.g. ANN, CNN, Kmeans, Logistic regression) — Implementation of IP on Xilinx FPGA prototype with the associated software Vivado— Performance measurement… Show more Title:Study of energy efficiency multicore architectures for embedded systems.Tasks performed :— Programming in C of various algorithms in particular of artificial intelligence (i.e. Machine Learning).— Use of C library for execution parallelism (i.e. Pthread)— Handling of artificial intelligence algorithms (e.g. ANN, CNN, Kmeans, Logistic regression) — Implementation of IP on Xilinx FPGA prototype with the associated software Vivado— Performance measurement (time and energy) of FPGA boards (via oscilloscope or USB acquisition hardware from National Instruments)— Use of Bash and Tcl scripting languages to automate data acquisition. Show less

Title:Learning techniques for adaptive control of computing system.Tasks performed : — Introduction to machine learning/deep learning— Parameters of a deep Q learning algorithm

Title:Study and implementation on FPGA, of a fault tolerance architecture.Tasks performed : — Implementation on FPGA board (Basys3) of a fault tolerance architecture— Realization of an installation using 4 FPGA boards connected to each other.— Experimentation: Fault injection. – Modification of the supply voltage – Modification of the operating frequency – Manual transient fault injection (push button).

Modification of the conveyor automation program of two production lines to take into account a new supply system.