Analog In-Memory-Compute with Multi-bit Silicon Ferro FinFET Array for Improved Energy and Area Efficiency

In this work, we demonstrate an analog in-memory-compute (AIMC) using single-transistor (1T) Ferro (FE) FinFET-based multiply-compute element (MCE). The fabricated MCE has a small cell size of 8F<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> with 2bit per cell weight storage, a large memory window of 1.8V and a linear operation range of 1.2V. We experimentally demonstrate multiply-accumulation (MAC) operation at the array level with a program/erase inhibition biasing scheme. The 1T FE-FinFET based AIMC is achieves an area efficiency of 1377 TOPs/mm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> due to small cell size and multi-level-cell operation, and an energy efficiency of 697 TOPs/W enabled by low bit-line read voltage and excellent device linearity, with close to baseline computational accuracy.

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Published
2025-05-18
DOI
https://doi.org/10.1109/imw61990.2025.11026976
Citations
1
Primary Topic
Ferroelectric and Negative Capacitance Devices
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article
Field-Weighted Citation Impact
0.73
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article

Analog In-Memory-Compute with Multi-bit Silicon Ferro FinFET Array for Improved Energy and Area Efficiency

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1 citations
Ferroelectric and Negative Capacitance Devices
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article

Analog In-Memory-Compute with Multi-bit Silicon Ferro FinFET Array for Improved Energy and Area Efficiency

Omkar Phadke, Wei‐Chun Wang, Sharadindu Gopal Kirtania, Eknath Sarkar, Suman Datta, Dyutimoy Chakraborty, Asif Islam Khan, Shimeng Yu, Khandker Akif Aabrar, Jaewon Shin, Shida Zhang, Chengyang Zhang, Emmanuel Quezada
article en
1 citations

Abstract

In this work, we demonstrate an analog in-memory-compute (AIMC) using single-transistor (1T) Ferro (FE) FinFET-based multiply-compute element (MCE). The fabricated MCE has a small cell size of 8F<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> with 2bit per cell weight storage, a large memory window of 1.8V and a linear operation range of 1.2V. We experimentally demonstrate multiply-accumulation (MAC) operation at the array level with a program/erase inhibition biasing scheme. The 1T FE-FinFET based AIMC is achieves an area efficiency of 1377 TOPs/mm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> due to small cell size and multi-level-cell operation, and an energy efficiency of 697 TOPs/W enabled by low bit-line read voltage and excellent device linearity, with close to baseline computational accuracy.

Georgia Institute of Technology (US)
Affordable and clean energy
Openalex Percentile: Top 27%
Ferroelectric and Negative Capacitance Devices
0.73
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