Analysis of Methods, Approaches and Tools for Organizing Self-Improvement of Computer Systems
Viktor A. Melnyk, Anatoliy Melnyk · 2023
This paper is aimed to the analysis of the concept of self-improvable computer systems design through the use of reconfigurable hardware, specialized processors high-level automatic design and synthesis tools, and Artificial Intelligence technologies. It highlights FPGA as the hardware basis for self-improvable computer systems and considers the development directions for FPGA-based computer systems in the future. The Artificial Intelligence technologies are used to identify what and how the computer system can be improved by itself. The software for specialized processors high-level design tools serves as the basic acting mechanism for computer system self-improvement. Finally, the method of computer system self-improvement is presented in the paper.