Scalable, ferroelectric based accelerators for energy efficient edge AI

Información del proyecto

Ferro4EdgeAI

Identificador del acuerdo de subvención: 101135656

DOI

10.3030/101135656

Fecha de la firma de la CE 25 Octubre 2023

Fecha de inicio 1 Enero 2024

Fecha de finalización 31 Diciembre 2027

Financiado con arreglo a

• Digital, Industry and Space

Coste total

€ 3 959 917,25

Aportación de la UE

€ 3 750 364,25

Coordinado por

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
France

Periodic Reporting for period 1 - Ferro4EdgeAI (Scalable, ferroelectric based accelerators for energy efficient edge AI)

Período documentado: 2024-01-01 hasta 2025-06-30

Resumen del contexto y de los objetivos generales del proyecto

The project aims to develop an ultra-low power, scalable edge accelerator for edge intelligence. Our innovative solution incorporates a memory-augmented neural network, based on Back End of Line (BEoL) integrated ferroelectric (FE) technology. The consortium partners bring a range of expertise across the entire value chain, from device technology to prototypes and systems simulations. The goal is to maximise the advantages of FE technology, including reliability, durability, high energy efficiency, low latency, and scalability.

Trabajo realizado desde el comienzo del proyecto hasta el final del período abarcado por el informe y los principales resultados hasta la fecha

The key performance indicators of each stage of the value chain, from materials, through devices, bitcells, arrays and circuits have been defined and related to one another. This provides us with firm guidelines for the project work. Design and simulations of the accelerator blocks has started. The first wafers with novel FeFET-2 circuits have been produced, novel bitcells for future wafers have been designed and the optimal material properties defined.

Avances que van más allá del estado de la técnica e impacto potencial esperado (incluida la repercusión socioeconómica y las implicaciones sociales más amplias del proyecto hasta la fecha)

The device at the heart of FerroEdgeAI is a non-volatile memory cell consisting of a ferroelectric capacitor made using hafnium zirconate, wired to a standard CMOS field effect transistor. This device has the enormous advantage of being ultra-low power and, at the same time, allows a non-destructive, fast read of its memory state, whether that be analogue or digital. It can therefore reply to the needs of data intensive, edge intelligence. The consortium has already defined the optimal material parameters and is currently integrating the device into novel circuits

The projected energy gain of ferroelectric accelerator (NV-XBAR) with respect to baseline micro-cont

The ferrolectric memory cell, called FeFET-2, of Ferro4EdgeAI