The upcoming trends in information technology follow irresistibly the
predicted changes of the Internet of Things (IoT). That requires
enhanced performance of mobile electronics, thus memory techniques face
a growing number of challenges. Redox-based resistive switches (ReRAM)
are highly attractive devices for implementation of ultimately-scaled
energy-efficient memories. In this thesis, associative memories and
sorting networks based on resistive switches are investigated. These
cognitive functions highlight the potential of brain inspired computing
in memory and are considered as a key-enabler for beyond von-Neumann
computer architectures.