PhD opportunities

Power- and temperature-aware compilation for embedded systems

Thesis proposal

Area of expertiseReal-time computer science, robotics, systems and control - Fontainebleau
Doctoral SchoolSystems Engineering, Materials, Mechanics, Energy
SupervisorM. Pierre JOUVELOT
Co-supervisorM. Grard MEMMI
Research unitMathematics and Systems
Starting dateOctober 1st 2019
Keywordsmodeling, experimentation
AbstractThe proposed PhD research agenda is to build upon the detailed core modeling and data-based foundations developed at Tlcom ParisTech and MINES ParisTech to look for both static and dynamic compilation optimizations that are able to handle systems' power-energy-temperature tradeoffs.
ProfileThe candidate will have a strong background in compilation principles and system programming (C, C++). Some knowledge in machine learning and/or physics modelling would be appreciated. Some understanding of hardware architecture and/or hands-on practice of measurement technologies (LabVIEW, NI sensors...) would be a plus.
FundingConcours pour un contrat doctoral