We are seeking a highly motivated student to join our research group at ITIV. The candidate must have a good knowledge in control systems, computer architecture and operating systems.
Adaptive Control Systems Techniques for Reducing Power Consumption in the 48-core Single-Chip Cloud Computer (SCC).
The development of multi-core architectures is becoming an increasingly popular solution that integrates several µ-processors used for speeding up applications. However, the power consumption of such architectures is becoming a critical factor that must, from one side, respect the constraints imposed by the embedded system industry and, on the other side, meet applications performance requirements. This master thesis goes in the direction of adaptive control systems techniques used for tuning processor frequency in a distributed way. The experiments will be conducted in the 48-core Single-Chip Cloud Computer (SCC) architecture provided by Intel.
1. Electrical Engineering or Computer Science
2. Creative, independent, team-oriented work and problem solving
3. Knowledge of microprocessor architectures and control systems (feedback control loop mechanisms, PID, Kalman filter, etc.)
4. Knowledge of C/C++ programming and UNIX-based operating system
5. Knowledge on parallel programming with message passing interface (MPI) is a plus.