A brand new technical paper titled “IMAGIN: Library of IMPLY and MAGIC NOR Primarily based Approximate Adders for In-Reminiscence Computing” was revealed by researchers at DFKI (German Analysis Heart for Synthetic Intelligence) and Indian Institute of Data Expertise Guwahati.

“We developed a framework to generate approximate adder designs with various output errors for 8, 12, and 16-bit adders. We applied a state-of-the-art scheduling algorithm to acquire the very best mapping of those approximate adder designs for IMC. We carried out an exhaustive design area exploration to acquire the pareto-optimal approximate adder designs for numerous design and error metrics. We then proposed IMAGIN, a library of approximate adders appropriate with memristor primarily based IMC structure, that are primarily based on IMPLY and MAGIC design kinds,” states the paper.

Discover the technical paper here. Revealed November 2022.

C. Okay. Jha, P. L. Thangkhiew, Okay. Datta and R. Drechsler, “IMAGIN: Library of IMPLY and MAGIC NOR Primarily based Approximate Adders for In-Reminiscence Computing,” in IEEE Journal on Exploratory Strong-State Computational Gadgets and Circuits, 2022, doi: 10.1109/JXCDC.2022.3222015.

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