English

A Multi-Bit Neuromorphic Weight Cell using Ferroelectric FETs, suitable for SoC Integration

Emerging Technologies 2017-10-24 v1 Mesoscale and Nanoscale Physics

Abstract

A multi-bit digital weight cell for high-performance, inference-only non-GPU-like neuromorphic accelerators is presented. The cell is designed with simplicity of peripheral circuitry in mind. Non-volatile storage of weights which eliminates the need for DRAM access is based on FeFETs and is purely digital. The Multiply-and-Accumulate operation is performed using passive resistors, gated by FeFETs. The resulting weight cell offers a high degree of linearity and a large ON/OFF ratio. The key performance tradeoffs are investigated, and the device requirements are elucidated.

Keywords

Cite

@article{arxiv.1710.08034,
  title  = {A Multi-Bit Neuromorphic Weight Cell using Ferroelectric FETs, suitable for SoC Integration},
  author = {Borna Obradovic and Titash Rakshit and Ryan Hatcher and Jorge Kittl and Rwik Sengupta and Joon Goo Hong and Mark S. Rodder},
  journal= {arXiv preprint arXiv:1710.08034},
  year   = {2017}
}

Comments

9 pages, 15 figures

R2 v1 2026-06-22T22:22:05.288Z