IMAGIN: Library of IMPLY and MAGIC NOR-Based Approximate Adders for In-Memory Computing
Author:
Affiliation:
1. German Research Centre for Artificial Intelligence (DFKI), Bremen, Germany
2. Department of Computer Science and Engineering, Indian Institute of Information Technology Guwahati, Guwahati, India
Funder
German Research Foundation (DFG) within the Project PLiM
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Hardware and Architecture,Electronic, Optical and Magnetic Materials
Link
http://xplorestaging.ieee.org/ielx7/6570653/9969523/09950064.pdf?arnumber=9950064
Reference32 articles.
1. A Scalable In-Memory Logic Synthesis Approach Using Memristor Crossbar
2. Memristive devices for computing
3. Exploiting Errors for Efficiency
4. A Retrospective and Prospective View of Approximate Computing [Point of View}
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