A Novel Design Technique for Enhanced Security and New Applications of Ferroelectric-Based Non-Volatile SRAM

Static Random Access Memories (SRAM) are fast and efficient circuits used as the main working memory of processing units. However, associating these volatile memories with external non-volatile memories leads to energy consumption and area penalties, while leading to security issues. Ferroelectric-based NVSRAMs are one of the most promising ways of combining the high efficiency of SRAMs with non-volatile operations to tackle these challenges. In this work, several design parameters of the bitcell are optimized to ensure error-less data transfer between 6T SRAM internal nodes and 4 ferroelectric capacitors (4C). The presented 6T4C bitcell presents STORE and RECALL energies of 161fJ/bit and 27fJ/bit, respectively, and STORE and RECALL times of 480ns and 245ns, respectively. A high reliability is achieved from −40°C to +85°C for SS, TT and FF fabrication corners. The integration of the four FeCAPs in the bitcell leads to a 46% area overhead, a 94% WRITE time degradation, and a 32% WRITE energy increase. However, an increase of less than 0.5% in both READ time and energy has been observed. A previously developed Fast-Erase system has also been integrated for countering cold-boot attacks. Combining design optimizations and Fast-Erase technique ensures cold-boot attack immunity of the memory and enables error-less RECALL with WRITE operations between STORE and RECALL, leading to new use-cases of NVSRAM circuits.

Authors

Institutions

Publication Details

Published
2024-10-06
DOI
https://doi.org/10.1109/vlsi-soc62099.2024.10767797
Citations
1
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
0.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel Design Technique for Enhanced Security and New Applications of Ferroelectric-Based Non-Volatile SRAM

J. Laguerre, L. Grenouillet, Bastien Giraud, Ian O’Connor et al.
1 citations
Physical Unclonable Functions (PUFs) and Hardware Security
0.49
article

A Novel Design Technique for Enhanced Security and New Applications of Ferroelectric-Based Non-Volatile SRAM

J. Laguerre, L. Grenouillet, Bastien Giraud, Ian O’Connor, Cédric Marchand, Jean-Philippe Noël, Lucas Rhetat
article en
1 citations

Abstract

Static Random Access Memories (SRAM) are fast and efficient circuits used as the main working memory of processing units. However, associating these volatile memories with external non-volatile memories leads to energy consumption and area penalties, while leading to security issues. Ferroelectric-based NVSRAMs are one of the most promising ways of combining the high efficiency of SRAMs with non-volatile operations to tackle these challenges. In this work, several design parameters of the bitcell are optimized to ensure error-less data transfer between 6T SRAM internal nodes and 4 ferroelectric capacitors (4C). The presented 6T4C bitcell presents STORE and RECALL energies of 161fJ/bit and 27fJ/bit, respectively, and STORE and RECALL times of 480ns and 245ns, respectively. A high reliability is achieved from −40°C to +85°C for SS, TT and FF fabrication corners. The integration of the four FeCAPs in the bitcell leads to a 46% area overhead, a 94% WRITE time degradation, and a 32% WRITE energy increase. However, an increase of less than 0.5% in both READ time and energy has been observed. A previously developed Fast-Erase system has also been integrated for countering cold-boot attacks. Combining design optimizations and Fast-Erase technique ensures cold-boot attack immunity of the memory and enables error-less RECALL with WRITE operations between STORE and RECALL, leading to new use-cases of NVSRAM circuits.

Université Claude Bernard Lyon 1 (FR), École Centrale de Lyon (FR), Centre National de la Recherche Scientifique (FR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Institut des Nanotechnologies de Lyon (FR), CEA Grenoble (FR), Laboratoire d'Intégration des Systèmes et des Technologies (FR), Laboratoire d'Électronique des Technologies de l'Information (FR), Université Grenoble Alpes (FR)
Openalex Percentile: Top 34%
Physical Unclonable Functions (PUFs) and Hardware Security
0.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.