Approximate Adders Suitable For In-Memory Computing Using a Memristor Crossbar Array


A new technical paper titled “IMAGIN: Library of IMPLY and MAGIC NOR Based Approximate Adders for In-Memory Computing” was published by researchers at DFKI (German Research Center for Artificial Intelligence) and Indian Institute of Information Technology Guwahati.

“We developed a framework to generate approximate adder designs with varying output errors for 8, 12, and 16-bit adders. We implemented a state-of-the-art scheduling algorithm to obtain the best mapping of these approximate adder designs for IMC. We performed an exhaustive design space exploration to obtain the pareto-optimal approximate adder designs for various design and error metrics. We then proposed IMAGIN, a library of approximate adders compatible with memristor based IMC architecture, which are based on IMPLY and MAGIC design styles,” states the paper.

Find the technical paper here. Published November 2022.

C. K. Jha, P. L. Thangkhiew, K. Datta and R. Drechsler, “IMAGIN: Library of IMPLY and MAGIC NOR Based Approximate Adders for In-Memory Computing,” in IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2022, doi: 10.1109/JXCDC.2022.3222015.

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