Data and code underlying the research of: Reference in array logic

doi:10.4121/ddd8cc44-4d7f-4afd-a11c-207e174ddf95.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/ddd8cc44-4d7f-4afd-a11c-207e174ddf95
Datacite citation style:
Singh, Abhairaj (2024): Data and code underlying the research of: Reference in array logic. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/ddd8cc44-4d7f-4afd-a11c-207e174ddf95.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Delft University of Technology logo
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This focuses on maximizing the throughput and energy efficiency while performing multi-operand (N)OR and (N)AND operations. This paper proposes a referencing-in-array scheme with a differential voltage-based sensing technique that enables accurate two and multi-operand logic operations for RRAM-based CIM architecture. The scheme makes use of a 2T2R cell configuration to create a complementary bitcell structure that inherently acts also as a reference during the operation execution resulting in a high sensing margin. Moreover, the variation-sensitive multi-operand (N)AND operation is implemented using complementary-input (N)OR operation to further improve its accuracy. This dataset includes schematic netlist files, raw data on the Excel sheets for latency and power estimations/simulation results, and Matlab codes for generating the graphs and figures in the associated publication.

history
  • 2024-02-16 first online, published, posted
publisher
4TU.ResearchData
format
g-zipped shape files, pdfs, xlsx, mat
funding
  • MNEMOSENE (grant code 780215) EC Horizon 2020 Research and Innovation
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Department of Computer Engineering

DATA

files (2)