Ultra low-energy SRAM design for smart ubiquitous sensors

Vibhu Sharma; Stefan Cosemans; Maryam Ashouie; Jos Huisken; Francky Catthoor; Wim Dehaene

doi:10.1109/MM.2012.58

Ultra low-energy SRAM design for smart ubiquitous sensors

Vibhu Sharma, Stefan Cosemans, Maryam Ashouie, Jos Huisken, Francky Catthoor, Wim Dehaene

Research output: Contribution to journal › Article › Academic › peer-review

16 Citations (Scopus)

Abstract

Medical diagnosis and healthcare are at the onset of a revolution fueled by improvements in smart sensors and body area networks. Those sensor nodes' computation and memory requirements are growing, but their energy resources do not increase; thus, more energy-efficient memories and processors are required. New circuit-design techniques that drastically reduce the static RAM (SRAM) memories' energy consumption while still achieving tens of megahertz of operation are discussed.

Original language	English
Article number	6266670
Pages (from-to)	10-24
Number of pages	15
Journal	IEEE Micro
Volume	32
Issue number	5
DOIs	https://doi.org/10.1109/MM.2012.58
Publication status	Published - 2012
Externally published	Yes

Keywords

calibration
charge-limited sequential sensing
local assist circuitry
low-energy write operation
low-swing dual-threshold-voltage 8T cell
SRAM design
static RAM design
ultra-low energy
variability resilient

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/MM.2012.58

Cite this

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abstract = "Medical diagnosis and healthcare are at the onset of a revolution fueled by improvements in smart sensors and body area networks. Those sensor nodes' computation and memory requirements are growing, but their energy resources do not increase; thus, more energy-efficient memories and processors are required. New circuit-design techniques that drastically reduce the static RAM (SRAM) memories' energy consumption while still achieving tens of megahertz of operation are discussed.",

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AU - Sharma, Vibhu

AU - Cosemans, Stefan

AU - Ashouie, Maryam

AU - Huisken, Jos

AU - Catthoor, Francky

AU - Dehaene, Wim

PY - 2012

Y1 - 2012

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AB - Medical diagnosis and healthcare are at the onset of a revolution fueled by improvements in smart sensors and body area networks. Those sensor nodes' computation and memory requirements are growing, but their energy resources do not increase; thus, more energy-efficient memories and processors are required. New circuit-design techniques that drastically reduce the static RAM (SRAM) memories' energy consumption while still achieving tens of megahertz of operation are discussed.

KW - calibration

KW - charge-limited sequential sensing

KW - local assist circuitry

KW - low-energy write operation

KW - low-swing dual-threshold-voltage 8T cell

KW - SRAM design

KW - static RAM design

KW - ultra-low energy

KW - variability resilient

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EP - 24

JO - IEEE Micro

JF - IEEE Micro

IS - 5

M1 - 6266670

ER -

Ultra low-energy SRAM design for smart ubiquitous sensors

Abstract

Keywords

UN SDGs

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