Abstract 

As algorithms with high accuracy become exceedingly more complex and Edge/loT generated data becomes increasingly bigger, flexible parallel reconfigurable processing are crucial  in the design of efficient DSP systems having low power. Hence the analysis of algorithms and data for computing in parallel, efficient data storage and data transfer is crucial. With extension of AAC for SoC system designs to even more versatile platforms based on analytics architecture, system scope is readily extensible to cognitive cloud and reconfigurable edge computing for multimedia and mobile health, a cross-level-of abstraction topic which will be introduced in this tutorial.