An analytical framework for error modeling of approximate adders

作者：Yang, Zhixi^*; Yang, Jun; Xing, Kefei; Yang, Guang

来源：IEICE Electronics Express, 2016, 13(20): 20160814.

DOI：10.1587/elex.13.20160814

• approximate computing
• error modeling and analysis
• approximate adder
• squared error
• absolute error

Approximate computing has drawn recent attention as it can reduce power without significantly sacrificing the output quality for arithmetic operations in error-resilient applications. However, the error characteristics evaluation often depends on time consuming random simulation and estimation. In this paper, a formal framework of evaluating approximate adders is proposed based on a theoretical model. The proposed framework can accurately measure mean squared error (MSE) and mean absolute error (MAE) without using functional simulations. An approach has been adopted to estimate the final PSNR value in terms of MSE and MAE for DCT-IDCT image compression system. Experimental results have validated the accuracy and usefulness of the framework.

• 出版日期2016-10-25
• 单位中国人民解放军国防科学技术大学