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SCIENTIFIC FRAMEWORK AND COMPETENCES

The automotive, consumer and health sectors are the main drivers of investments in digital technologies. Pushed by the convergence of application markets towards a globally connected world - often denoted as the Internet-of-Things (IoT) - the future developments of all such sectors clearly rely on the common pillars of communications, semantic software and smart embedded processing. The latter is the primary focus of VLSI system research in such scenario.
The design of a smart digital embedded processing system tackles three (generally counterposed) demands
- high computing performance (almost ubiquitous need)
- high energy efficiency (ubiquitous need)
- high reliability/resilience (automotive/transportation specific need)
The activities of our group addresses these challenging demands through an integrated advancement of knowledge at all levels of design abstraction, namely:

Advanced embedded HW/SW development
Linux, Embedded Linux, kernel programming, driver development
ARM, PIC, STM32 embedded system HW/SW development
Zigbee-compatible wireless-sensor-networks

Architecture modeling/evaluation (single- & multi-core)
ARM, Leon, ST200, domain-specific (e.g. fuzzy, DSP)
Modeling languages: Qemu, SystemC, C, VHDL

RTL semi-custom IP design
arithmetic units, codecs, JPEG2000 compression, neural architectures
FPGA and ASIC flow (primarily VHDL based)

Circuit design
CMOS cell design, timing, power, reliability analysis (SPICE level)
Self-timing, delay insensitive logic, globally-asynchronous-locally-synchronous logic

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