Research
Our research focuses along two main lines (pages include MS thesis topics):
- Indoor human localization and identification using low-power low-cost long-distance capacitive sensors
- Acceleration of software applications via high-level synthesis on FPGAs
The research is funded both from internal sources and from European projects, such as:
- ECOSCALE – Energy-efficient heterogeneous COmputing at exaSCALE
- WSN-DPCM – WSN Development, Planning and Commissioning & Maintenance Toolset
- PHARAON – Parallel and Heterogeneous Architecture for ReAl-time cOmputiNg
- COMPLEX – COdesign and power Management in PLatform-based design space EXploration
- MODERN – MOdeling and DEsign of Reliable, process variation aware Nanoelectronic devices, circuits and systems
- HEAP – Highly Efficient Adaptive multi-Processor framework
- FastCUDA – Open Source FPGA Accelerator and Hardware-Software Co-design Toolset for CUDA Kernels