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  4. MAC-based Mapping of Adder Architectures to RRAM Crossbars
 
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2025
Conference Paper
Title

MAC-based Mapping of Adder Architectures to RRAM Crossbars

Abstract
This paper presents a comparative evaluation of seven adder architectures mapped to RRAM crossbars using a MAC-based logic style. By analyzing designs across 8- to 64-bit widths, we assess trade-offs in total evaluation cycles, crossbar area, and logical depth. The results highlight Ladner-Fischer and Kogge-Stone adders as the most efficient for high-bit-width applications, offering superior parallelism and scalability in MAC-based in-memory computing systems. Hence, these adder designs can be used as a reference for future works related to the optimization of adders for MAC-based logic style.
Author(s)
Shirinzadeh, Fatemeh
German Research Center for Artificial Intelligence (DFKI)
Nabipour, Saeideh
German Research Center for Artificial Intelligence (DFKI)
Dalia, Kamalika
German Research Center for Artificial Intelligence (DFKI)
Jha, Chandan Kumar
Universität Bremen  
Shirinzadeh, Saeideh  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Drechsler, Rolf
German Research Center for Artificial Intelligence (DFKI)
Mainwork
IEEE 7th International Conference on Emerging Electronics, ICEE 2025  
Conference
International Conference on Emerging Electronics 2025  
DOI
10.1109/ICEE67165.2025.11409793
Language
English
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Keyword(s)
  • Art

  • Scalability

  • Computer architecture

  • Parallel processing

  • In-memory computing

  • Logic

  • Adders

  • Optimization

  • Arithmetic

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