WSEAS Transactions on Computers
Print ISSN: 1109-2750, E-ISSN: 2224-2872
Volume 23, 2024
Implementation of Application Specific Instruction set Processor for Approximate Computing
Authors: Akshay Deole, Vanita Agarwal, Vaishali Ingale
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.
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Keywords: Approximate Computing, ASIP, FPGA, Internet of Things (IoT), Smart City, TIE Language, and Tensilica Tool
Pages: 204-210
DOI: 10.37394/23205.2024.23.19
WSEAS Transactions on Computers, ISSN / E-ISSN: 1109-2750 / 2224-2872, Volume 23, 2024, Art. #19