Abstract:
Approximate computing (AC) is a paradigm that introduces errors for reduced design metrics. AC has been recommended for implementation in error-resilient applications. Pr...Show MoreMetadata
Abstract:
Approximate computing (AC) is a paradigm that introduces errors for reduced design metrics. AC has been recommended for implementation in error-resilient applications. Previously proposed AC implementations can be modified to generate new configurations and thus result in a large design space of AC. In this paper, we propose a mathematical modeling technique that allows a fast analysis of hardware designs with the aim of studying the quality of large design spaces. Mathematically modeling the AC circuits facilitates the quality to be assessed using various error metrics while reducing the assessment time. The proposed approach has been applied to various arithmetic units, including an array multiplier, a multiply accumulate unit and a divider. The experimental results showed a quality assessment equivalent to the one obtained by the Monte-Carlo simulation, while offering a remarkable reduction in CPU time.
Published in: 2024 International Conference on Microelectronics (ICM)
Date of Conference: 14-17 December 2024
Date Added to IEEE Xplore: 31 December 2024
ISBN Information: