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Aerospace Education Catalogue

Stage - Système de haut niveau (HLS) pour system on chip

  • Organisations :
  • Type of Course: Life-long learning - short courses (advanced)
  • Language(s): French
  • Place: Sorbonne Université (French Regions: Ile-de-France)
  • Prepared diploma/grade/title: Certificate of participation (Notification of training attendance/completion)
  • Level of entry: French Baccalaureat + 5

Course Details

Objectives: Providing hardware acceleration, system security and product scalability, FPGA circuits are now an essential component of embedded electronic devices. To meet the ever-shorter cycles of products placed on the market, it is becoming essential to master its relative complexity through the expert use of (new) high-level description tools (High-level synthesis, or HLS). At the end of this training, participants will be able to master the entire design flow of a complex digital system using an HLS language.

Intended for: Engineers responsible for designing, developing or maintaining systems on chip based on FPGAs.

Prerequisites: Digital electronics: FPGA and hardware description language (VHDL, Verilog, etc.).
Microprocessor: architecture and low-level programming language (C language).
The “System on Chip (SoC): co-design of software and hardware embedded on FPGA” course is an excellent entry point for this training.
Computer science: algorithms is a second possible entry point for this training.

Duration and terms: 21 h

Dedicated web site: https://fc.sorbonne-universite.fr/nos-offres/synthese-de-haut-niveau-hls-pour-system-on-chip/

Disciplines

  • Engineering Sciences

Topics

  • 7 - Embedded/Cyberphysical Systems: Embedded Networks, Real Time Systems, Formal Methods, Embedded Software, Avionics, Instrumentation...
  • 8 - Electronics Systems : Analog and digital functions, Components, Microelectronics, Integrated Circuits, Samplers, ASIC/FPGA, Digital Signal Processors, Nanotechnologies
  • 11 - Data Sciences: Applied Mathematics, Signal and Image Processing, Cryptography, Artificial Intelligence (machine learning, big data, etc.), Computer Science, Cloud, Software Engineering, Virtual Reality, Virtualization, Digital Twins, Metaverse, etc.