Abstract
The performance, energy efficiency, power dissipation, and cost of the processors used in Internet of Things edge devices can be improved by introducing approximate computing. In this paper, the design and synthesis of an application-specific instruction set processor for approximate computing is proposed. Approximate computing can also be defined by using Artificial Intelligence-based technique like the Fractal theory and Inconsistent Information System. Application Specific Instruction Set Processor is a new processor design area and is used to design a new instruction set using existing processor configuration available on the EDA tool. From the results, it is observed that significant improvement is achieved in processor performance using the TIE application as compared to without the TIE application which is applied to user-designed instruction.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
