Abstract
This chapter outlines a general overview of the real-time modelling and processing requirements by exploring the fundamental and perspectives concepts of the real time processing challenges. The workflow of a computationally efficient and accurate real time modelling algorithm is presented and analyzed for both computer large scale electronic device real time simulation and when the algorithm is embedded in a hardware platform where the CPU and memory resources need to be carefully considered. The advantages and real time processing applications of the future neurocomputation or processing in memory, enabled by the recent research on memristive nanoscale devices that eliminates the gap between the memory and processing unit, are presented. Moreover, the requirements and the challenges for generating a high-level abstraction modeling algorithms that balance the tradeoffs between computational complexity and predictive accuracy are described and discussed for electronic device real time computer simulation, control and automation.