10.52 GOPS Systolic Cores Fuzzy Logic System for Cognitive Dysfunction Self-Awareness Using FPGA

It is inevitable to ignore the remarkable eco-friendly transformation impact that could be obtained by applying Sustainable Computing (SC) to a wide range of conventional applications in the near future. The reliability of the decision-making process in these transformed applications could be enhanced by the integration and collaboration of many algorithms and techniques like Cognitive Computing (CC), Approximate Computing (AC), and the reconfigurable hardware platforms with the SC, especially for scenarios with a high degree of uncertainties. In this paper, a systolic Fuzzy Logic System (FLS) processing cores has been proposed to provide a generic Cognitive Dysfunction Self-Awareness (CDSA) solution that assists the power management control of an electronic system based on its vital extracted parameters. The proposed processing unit architecture has been designed using VHDL, and the targeted FPGA chip was the Intel Cyclone V 5CGXFC9D6F27C7. The proposed systolic-cores FLS CDSA processing core achieved a computational processing speed of 10.52 GOPS.