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MY-CUBE SIGNED

3D integration of a logic/memory CUBE for In-Memory-Computing

Total Cost €

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EC-Contrib. €

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Partnership

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 MY-CUBE project word cloud

Explore the words cloud of the MY-CUBE project. It provides you a very rough idea of what is the project "MY-CUBE" about.

physical    circuit    oxide    deluge    situ    perform    temperature    paradigm    enhanced    resistive    consists    3d    memory    learning    computing    relies    efficient    energy    transfers    limited    smartness    complementary    leverage    junctionless    changer    blocks    overcoming    abundant    coupled    designed    computational    technologies    performance    wall    imc    cmos    semiconductor    cube    grain    manufactured    circuits    mixing    billions    storage    ineffective    machine    solution    coming    nanowire    metal    kernel    volatile    fine    measured    computations    items    delay    compute    data    scalability    interconnected    cyber    20x    artificial    nano    cloud    power    longer    brain    architectures    capacity    transistors    monolithic    centric    vs    emergence    broadly    game    adds    budget    historical    entangling    scaling    intelligence    logic    holistic    von    things    accelerator    for    owing    corner    stone    tight    class    material    analytics    neumann   

Project "MY-CUBE" data sheet

The following table provides information about the project.

Coordinator
COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES 

Organization address
address: RUE LEBLANC 25
city: PARIS 15
postcode: 75015
website: www.cea.fr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Total cost 2˙734˙139 €
 EC max contribution 2˙734˙139 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-COG
 Funding Scheme ERC-COG
 Starting year 2019
 Duration (year-month-day) from 2019-04-01   to  2024-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES FR (PARIS 15) coordinator 2˙734˙139.00

Map

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 Project objective

For integrated circuits to be able to leverage the future “data deluge” coming from the cloud and cyber-physical systems, the historical scaling of Complementary-Metal-Oxide-Semiconductor (CMOS) devices is no longer the corner stone. At system-level, computing performance is now strongly power-limited and the main part of this power budget is consumed by data transfers between logic and memory circuit blocks in widespread Von-Neumann design architectures. An emerging computing paradigm solution overcoming this “memory wall” consists in processing the information in-situ, owing to In-Memory-Computing (IMC). However, today’s existing memory technologies are ineffective to In-Memory compute billions of data items, as it is the case in the brain. Things may change with the emergence of three key enabling technologies: non-volatile resistive memory, new energy-efficient nanowire transistors and 3D-monolithic. My-CUBE will leverage them towards a functionality-enhanced system with a tight entangling of logic and memory. Only such a technology can support the scalability of the IMC concept. Following a holistic approach from the system to the material, My-CUBE unique solution relies on a new class of nano-technology, mixing at the fine-grain level a high capacity of non-volatile resistive memory coupled with new junctionless nanowire transistors 3D-interconnected at low-temperature, to perform data-centric computations. A 3D IMC accelerator circuit will be designed, manufactured and measured, targeting a 20x reduction in (Energy x Delay) Product vs. Von-Neumann systems. This technology that adds smartness to memory/storage will not only be a game changer for artificial intelligence, machine learning, data analytics or any data-abundant computing systems but it will also be, more broadly, a key computational kernel for next low-power, energy-efficient European integrated circuits.

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The information about "MY-CUBE" are provided by the European Opendata Portal: CORDIS opendata.

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