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CIRCUS SIGNED

Crosspoint In-memoRy CompUting Systems

Total Cost €

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EC-Contrib. €

0

Partnership

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 CIRCUS project word cloud

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

plan    central    power    poor    industrial    toward    instead    decade    every    designed    computing    maturity    consumption    circus    computed    energy    ml    business    execute    von    000x    essentially    optimally    regression    simulations    time    search    spread    financial    big    scalability    dangerous    consist    neumann    centers    accelerate    smart    solution    computer    breaking    universal    realization    computation    digital    rescue    efficiency    triple    inference    smartphones    data    computers    disease    modular    learning    algorithms    recognize    physical    cog    prediction    investments    feasibility    monitor    efficient    memory    worldwide    traffic    phones    classification    group    demonstrating    small    paradigm    operated    separation    stored    erc    hence    moving    techniques    investor    operations    transactions    perform    limits    architecture    poc    prototype    market    frame    cpu    ready    meantime    conventional    machine    wealth   

Project "CIRCUS" data sheet

The following table provides information about the project.

Coordinator
POLITECNICO DI MILANO 

Organization address
address: PIAZZA LEONARDO DA VINCI 32
city: MILANO
postcode: 20133
website: www.polimi.it

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 Italy [IT]
 Total cost 149˙463 €
 EC max contribution 149˙463 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-PoC
 Funding Scheme ERC-POC
 Starting year 2019
 Duration (year-month-day) from 2019-05-01   to  2020-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    POLITECNICO DI MILANO IT (MILANO) coordinator 149˙463.00

Map

 Project objective

Every second, our smart phones deliver a wealth of information that can be used to monitor the traffic, the financial transactions, and even the spread of a dangerous disease. The processing of these big data into a meaningful information requires specific machine learning (ML) algorithms, which essentially consist of regression techniques for inference, classification and prediction. The conventional digital computers are not designed to optimally solve these problems with efficient time and energy consumption, which is one of the reasons why the power consumption by data centers worldwide is expected to triple in the next decade. Such a poor energy efficiency is essentially due to the physical separation between the central processing unit (CPU), where data are computed, and the memory, where data are stored, according to classical von Neumann computer architecture. In the frame of our ERC-CoG RESCUE, my group has developed a new paradigm to efficiently execute ML tasks in just one step within the memory. Instead of moving data from the memory to the digital CPU, an analogue computation is directly operated within the data, thus breaking all previous limits of time and energy consumption (10.000x reduction in the number of operations, hence time, and 1.000x in energy). Our in-memory technology is modular and universal, thus can be implemented in any existing memory and computing technology to accelerate ML tasks in future smartphones and data centers. In the ERC-PoC CIRCUS, we aim at bringing this technology to a higher maturity level, demonstrating its scalability and technical feasibility by simulations and realization of a small-scale prototype. In the meantime, we will also perform a comprehensive market search to recognize opportunities and draft an investor-ready business plan for raising future investments to further advance the solution toward industrial exploitation.

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The information about "CIRCUS" are provided by the European Opendata Portal: CORDIS opendata.

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