Ferdinand Pscheidl (Fraunhofer EMFT) received the M.Sc. in electrical engineering and information technology at Technical University of Munich in 2021. He then joined the circuit design group of Fraunhofer Research Institution for Microsystems and Solid State Technologies (EMFT, Munich) to work as a circuit designer on neuromorphic computing. In his PhD he is pursuing with the chair of circuit design at the Technical University of Munich (TUM), he is investigating the hardware/software co-design of neuromorphic hardware with focus on scalability and timing accuracy.
Introduction The development of universal computers based on the von-Neumann architecture and general-purpose arithmetic logic units (ALUs) built from the compl... Read more.
Historically for CMOS based digital computing the performance of CPUs could be increased with every technology generation through an increase in operating frequ... Read more.
Analog computation is often categorized as the opposite of digital computation. While digital computation works with discrete values analog computation can comp... Read more.
In-memory computing (IMC) aims to speed up computation on data by reducing the physical distance between data and computation as much as possible. The motivatio... Read more.
Computing beyond CMOS is becoming confusing. We provide you with a profound overview over existing technological and conceptual solutions. Introduction posts... Read more.