DANIELE JAHIER PAGLIARI

Scarica il contatto come vcard Foto

Ricercatore a tempo determinato Legge 240/10 art.24-A

Progetti di ricerca

Finanziati da bandi competitivi

  • Analog/Mixed Signal Back End Design Automation based on Machine Learning and Artificial Intelligence Techniques, (2021-2025) - Responsabile Scientifico

    Ricerca UE - H2020 - Excellent Science - Marie Curie

    Vedi la scheda del progetto su CORDIS

    ERC sectors

    PE7_3 - Simulation engineering and modelling PE6_7 - Artificial intelligence, intelligent systems, multi agent systems PE7_2 - Electrical engineering: power components and/or systems PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

    Abstract

    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 employers needs, iv) set the basis of a long lasting technical partnership between European research and design centers.

    Paesi coinvolti

    • Paesi Bassi
    • Italia
    • Portogallo
    • Repubblica Ceca
    • Armenia

    Enti/Aziende coinvolti

    • SYNOPSYS NETHERLANDS BV
    • UNIVERSITA DEGLI STUDI DI CATANIA
    • SNPS PORTUGAL UNIPESSOAL LDA
    • CESKE VYSOKE UCENI TECHNICKE V PRAZE
    • STMICROELECTRONICS DESIGN AND APPLICATION SRO
    • Synopsys Armenia CJSC
    • STMICROELECTRONICS SRL

    Strutture interne coinvolte

  • 20529 - End-to-end digitalized production test beds, (2020-2021) - Responsabile Scientifico

    Ricerca UE - EIT

    Paesi coinvolti

    • ITALIA

    Strutture interne coinvolte

Finanziati da contratti commerciali

  • Definizione e sviluppo di una piattaforma software per il supporto della produzione, (2020-2020) - Responsabile Scientifico

    Ricerca Commerciale

    Paesi coinvolti

    • ITALIA

    Enti/Aziende coinvolti

    • TAU SRL

    Strutture interne coinvolte