IEEE ISCAS 2022

The paper behind the crossbar accuracy map.

The publication derives the compute-SNR limits, verifies the behavioral route with circuit simulation, and connects the selected circuit parameters to mapped neural-network accuracy.

2022IEEE ISCAS

Fundamental Limits on the Computational Accuracy of Resistive Crossbar-based In-memory Architectures

Saion K. Roy, Ameya Patil, and Naresh R. Shanbhag · Pages 384–388 · DOI 10.1109/ISCAS48785.2022.9937336

Summary

What the paper shows.

The paper derives the limits on compute SNR for MRAM-, ReRAM-, and FeFET-based crossbars. SNRmax occurs at the Rs* that balances ADC clipping and quantization, contrast helps only up to 12 to 15, and the SNR-optimal parameters also maximize ResNet-20 accuracy.

  • Analytical framework. Signal and noise expressions for voltage-driven crossbars.
  • Circuit validation. Behavioral models checked against 22 nm SPICE simulation.
  • Design limits. SNRmax versus Rs, N, ADC precision, and contrast.
  • Network transfer. SNR-selected points within one point of an exhaustive search.

Citation

Cite this work.

The repository also includes a CITATION.cff file.

IEEE

S. K. Roy, A. Patil, and N. R. Shanbhag, “Fundamental Limits on the Computational Accuracy of Resistive Crossbar-based In-memory Architectures,” in 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022, pp. 384–388, doi: 10.1109/ISCAS48785.2022.9937336.

BibTeX
@inproceedings{roy2022crossbarlimits,
  author    = {Saion K. Roy and Ameya Patil and Naresh R. Shanbhag},
  title     = {Fundamental Limits on the Computational Accuracy of Resistive Crossbar-based In-memory Architectures},
  booktitle = {2022 IEEE International Symposium on Circuits and Systems (ISCAS)},
  pages     = {384--388},
  year      = {2022},
  doi       = {10.1109/ISCAS48785.2022.9937336}
}

Companion repository

The behavioral route is open and reproducible.

The repository turns the original scripts into a reproducible behavioral model and serves this website.

  • Open model. A voltage-driven 1T1R crossbar with the four compute-SNR error terms.
  • SPICE points. Published comparison points only. The commercial 22 nm PDK is not redistributed.
  • Network results. Reported values in data/network/paper_points.csv.
  • Parasitic extension. Wire IR drop, input-rail sag, and DAC and device nonlinearity, fitted to IBM, NeuRRAM, and HP crossbar chips.