Original paper
Using Approximate Computing for the Calculation of Inverse Matrix <inline-formula> <tex-math notation="LaTeX">$p$ </tex-math> </inline-formula>th Roots
Abstract
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...
Paper Details
Title
Using Approximate Computing for the Calculation of Inverse Matrix <inline-formula> <tex-math notation="LaTeX">$p$ </tex-math> </inline-formula>th Roots
Published Date
Jun 1, 2018
Volume
10
Issue
2
Pages
33 - 36
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