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A multiprocessor system on chip with in-memory neural processing unit

Objective

Deployment of intelligence at the edge presents many challenges because devices need to be low-cost and, as such, they are often constrained in computing capacity, memory, and energy resources.
These constraints are not compatible with the need for much more advanced AI algorithms calling for Mbytes of storage and tens of GOPS per inference and call for leaner edge AI algorithms. The current state of the art for (the few) edge-AI chips relies on low-cost process technologies at 90 or 40nm and in some cases up to 16nm, with power efficiency between 1-5 TOPS/w and power densities up to 1 TOPS/mm2.
Recently several industrial projects and a few products have started to surface pursing neuromorphic and in memory computing, but none of these efforts have reached a level of maturity compatible with a mass volume production and cost, and, moreover the technology base they rely on is either not scalable to more advanced nodes (flash) or, targeting AI computing algorithms whose practical applications are yet to be fully proven (e.g. spiking). The NeuroSoC approach instead is to rely on a solid, mature, and qualified reliable Phase Change Memory technology to create an industrially proven path to go past the state of the art, as such, the NeuroSoC chip pre-product demonstration of the technology will be the first of his kind worldwide.
NeuroSoC’s aim is to develop an advanced Multi-Processor System on Chip prototype in FD-SOI 28nm CMOS technology that tightly integrates an AIMC IMNPU unit, a local digital processing subsystem, and functional safe multiprocessor host subsystems based on an enhanced version of existing RISC-V microprocessor implementation, while covering IMNPU security aspects holistically to tackle the requirements of a wide set of edge-AI applications.
The project will leverage STMicroelectronics’s unique high-density embedded PCM cell process technology being the denser and only such technology qualified and mature for embedded use in the industry world

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-CL4-2021-DIGITAL-EMERGING-01

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Coordinator

STMICROELECTRONICS SRL
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 3 198 025,00
Address
VIA C.OLIVETTI 2
20864 Agrate Brianza
Italy

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Region
Nord-Ovest Lombardia Monza e della Brianza
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 3 669 421,25

Participants (10)

Partners (3)

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