2026-06-11 –, Poster Island C
Combining signal processing and artificial intelligence applications is actually a demanding task as these areas require different hardware support during program execution. Specifically, if the demands on rea-time as well as fast execution are high, any feasible solution will use different processing platforms, e.g. DSPs for signal processing and GPU for AI. This results in higher costs, less reliability and high demands on memory transfer rates not to talk about different development tool chains, This paper introduces the UB410 architecture based on RISC-V with enhancements to support different application classes like digital signal processing and artificial intelligence.
This paper gives an insight into the architecture, the different running modes as well as the adaptibility to some kinds of applications.
Christian Siemers has studied Physics and Mathematics and has received his PhD from Kiel University in 1984. After some years at Kiel University and in Industry, he received his appointment as professor first at University of Applied Sciences Stralsund, later in Heide/Holstein and Nordhausen. Since 2006 he was with the Clausthal University of Technology, first part-time since 2016 full-time. His regions of interest are programmable architectures amd their programming interface. He has over 200 publications and holds more than 20 patents.