Exploring RISC-V extension capabilities for UHF-MRI
This thesis investigates RISC-V existing instruction set architectures, their different micro-architecture implementations, extending them for low-latency, data-intensive, real-time medical applications, such as the UHF-MRI application. The student identifies bottlenecks using models such as the roofline model, explore data formats customization and data processing exstensions like FFT unit, to identify a customization ISA for medical application.
The topic is suitable for Master's or motivated Bachelor's students.
- Bachelor/Master
- Supervisor: Dr.-Ing. Daniele Passaretti