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AMBEATion

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Cerrado

Analog Mixed Signal Back End Design Automation based on Machine Learning and Art...

Analog Mixed Signal Back End Design Automation based on Machine Learning and Artificial Intelligence Techniques In the field of the Electronic Integrated circuit design, the analog-mixed-signal (AMS) physical design of all analog blocks and of whole integrated circuits (IC) based on the Analog-on-Top approach still uses a handmade flow. The... ver más

31/08/2025

POLITO

258K€

Presupuesto del proyecto: 258K€

Líder del proyecto

POLITECNICO DI TORINO No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 8 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-11-09

MSCA-RISE-2020: Research and Innovation Staff Excha...

I+D

Cerrada hace 4 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

8 Participantes

POLITO

124.20K€ | Lider

VIRAGE LOGIC

N.D. | Participante

UNICT

59.80K€ | Participante

SNPS PORTUGAL UNIPESSOAL LDA

N.D. | Participante

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Duración del proyecto: 57 meses Fecha Inicio: 2020-11-09
Fecha Fin: 2025-08-31

Líder del proyecto

POLITECNICO DI TORINO No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 258K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto In the field of the Electronic Integrated circuit design, the analog-mixed-signal (AMS) physical design of all analog blocks and of whole integrated circuits (IC) based on the Analog-on-Top approach still uses a handmade flow. The Electronic Design Automation (EDA) industry has been working since several years in the application of techniques to make better design and verification tools ranging from synthesis to place & route, timing analysis, analog design and circuit simulations. The AMBEATion consortium will utilize a holistic approach which applies these enhanced tools to categories of designs (i.e. Smart Systems) and drives them through scriptware and methodologies which will further enhance the productivity of designers in the design automation of these complex low power devices. Essential strategy of the ambitious multidisciplinary program is the Transfer of Knowledge between the partners and the training of a focused team of researchers on the algorithm developments and their application to the industrial state of the art AMS Back End design flow. The main outcomes of this AMBEATion project will be: i) highly increase designers’ productivity in the area of mixed signal designs (primarily AMS Backend) addressing the needs of industrial users, ii) possibly reduce the silicon products costs as a consequence increase the European industry competitiveness, iii) provide the academies with new advanced training topics aligned with high tech employer’s needs, iv) set the basis of a long lasting technical partnership between European research and design centers.

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