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Revolutionary embedded memory for internet of things devices and energy reduction

Revolutionary embedded memory for internet of things devices and energy reduction

Objective

REMINDER aims to develop an embedded DRAM solution optimized for ultra-low-power consumption and
variability immunity, specifically focused on Internet of Things cut-edge devices. The objectives of REMINDER are :
i) Investigation (concept, design, characterization, simulation, modelling), selection and optimization of a
Floating-Body memory bit cell in terms of low power and low voltage, high reliability, robustness
(variability), speed, reduced footprint and cost.
ii) Design and fabrication in FDSOI 28nm (FD28) and FDSOI 14nm (FD14) technology nodes of a
memory matrix based on the optimized bit-cells developed. Matrix memory subcircuits,
blocks and architectures will be carefully analysed from the power-consumption point of view.
In addition variability tolerant design techniques underpinned by variability analysis and statistical
simulation technology will be considered.
iii) Demonstration of a system on chip application using the developed memory solution and
benchmarking with alternative embedded memory blocks.
The eventual replacement of Si by strained Si/SiGe and III-V materials in future CMOS circuits would also
require the redesign of different applications, including memory cells, and therefore we also propose the evaluation
of the optimized bit cells developed in FD28 and FD14 technology nodes using these alternative
materials.
The fulfilment of the objectives above will also imply the development of:
i) New techniques for the electrical characterization of ultimate CMOS nanometric devices. This will
allow us to improve the CMOS technology by boosting device performance.
ii) New behavioural models, incorporating variability effects, to reach a deep understanding of
nanoelectronics devices
iii) Advanced simulation tools for nanoelectronic devices for state of the art, and emerging devices.
iv) Extreme low power solutions
The consortium supporting this proposal is ideally balanced with 2 industrial partners, 2 SMEs, 2 research centers and 3 universities.

Coordinator

UNIVERSIDAD DE GRANADA

Address

Cuesta Del Hospicio Sn
18071 Granada

Spain

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 606 250

Participants (8)

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STMICROELECTRONICS SA

France

EU Contribution

€ 537 500

UNIVERSITY OF GLASGOW

United Kingdom

EU Contribution

€ 350 000

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES

France

EU Contribution

€ 761 596,25

INSTITUT POLYTECHNIQUE DE GRENOBLE

France

EU Contribution

€ 501 385

IBM RESEARCH GMBH

Switzerland

Gold Standard Simulations ltd

United Kingdom

EU Contribution

€ 344 937,50

SURECORE LTD

United Kingdom

EU Contribution

€ 495 750

Korea Institute of Science and Technology

South Korea

Project information

Grant agreement ID: 687931

Status

Closed project

  • Start date

    1 January 2016

  • End date

    30 June 2019

Funded under:

H2020-EU.2.1.1.

  • Overall budget:

    € 4 543 793,75

  • EU contribution

    € 3 597 418,75

Coordinated by:

UNIVERSIDAD DE GRANADA

Spain