Skip to main content
Video s3
    Details
    Presenter(s)
    Seyed Erfan Fatemieh Headshot
    Affiliation
    Affiliation
    University of Isfahan
    Country
    Author(s)
    Affiliation
    Affiliation
    University of Isfahan
    Affiliation
    Affiliation
    University of Isfahan
    Display Name
    Nima TaheriNejad
    Affiliation
    Affiliation
    Technische Universität Wien
    Abstract

    By applying approximate computing performance metrics are improved. Memristors can be used to perform logical calculations along with data storage. Approximate computing in memory, particularly using memristive stateful logic, has not been explored yet. In this paper, we combine these two concepts (approximate computing and in-memory computation) and propose a novel algorithm for IMPLY-based adders to implement an approximate full-adder. The proposed approximate full-adder was assessed in an image processing application, and different error quality metrics were assessed. Our study shows that the proposed method can achieve up to 40% improvement, whereas maintaining the introduced error in an acceptable range.

    Slides
    • Approximate In-Memory Computing Using Memristive Imply Logic and its Application to Image Processing (application/pdf)