Using Approximate Computing for the Calculation of Inverse Matrix <inline-formula> <tex-math notation="LaTeX">$p$ </tex-math> </inline-formula>th Roots

Approximate computing has shown to provide new ways to improve performance and power consumption of error-resilient applications. While many of these applications can be found in image processing, data classification, or machine learning, we demonstrate its suitability to a problem from scientific computing. Utilizing the self-correcting behavior of iterative algorithms, we show that approximate computing can be applied to the calculation of...