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software framework for runtime-Adaptive and secure deep Learning On Heterogeneous Architectures

Informazioni relative al progetto

ID dell’accordo di sovvenzione: 780788

Stato

Progetto in corso

  • Data di avvio

    1 Gennaio 2018

  • Data di completamento

    31 Dicembre 2020

Finanziato da:

H2020-EU.2.1.1.

  • Bilancio complessivo:

    € 5 976 415

  • Contributo UE

    € 5 976 415

Coordinato da:

STMICROELECTRONICS SRL

Italia

Obiettivo

Deep Learning (DL) algorithms are an extremely promising instrument in artificial intelligence, achieving very high performance in numerous recognition, identification, and classification tasks. To foster their pervasive adoption in a vast scope of new applications and markets, a step forward is needed towards the implementation of the on-line classification task (called inference) on low-power embedded systems, enabling a shift to the edge computing paradigm. Nevertheless, when DL is moved at the edge, severe performance requirements must coexist with tight constraints in terms of power/energy consumption, posing the need for parallel and energy-efficient heterogeneous computing platforms. Unfortunately, programming for this kind of architectures requires advanced skills and significant effort, also considering that DL algorithms are designed to improve precision, without considering the limitations of the device that will execute the inference. Thus, the deployment of DL algorithms on heterogeneous architectures is often unaffordable for SMEs and midcaps without adequate support from software development tools.
The main goal of ALOHA is to facilitate implementation of DL on heterogeneous low-energy computing platforms. To this aim, the project will develop a software development tool flow, automating:
• algorithm design and analysis;
• porting of the inference tasks to heterogeneous embedded architectures, with optimized mapping and scheduling;
• implementation of middleware and primitives controlling the target platform, to optimize power and energy savings.
During the development of the ALOHA tool flow, several main features will be addressed, such as architecture-awareness (the features of the embedded architecture will be considered starting from the algorithm design), adaptivity, security, productivity, and extensibility.
ALOHA will be assessed over three different use-cases, involving surveillance, smart industry automation, and medical application domains
Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinatore

STMICROELECTRONICS SRL

Indirizzo

Via C.Olivetti 2
20864 Agrate Brianza

Italia

Tipo di attività

Private for-profit entities (excluding Higher or Secondary Education Establishments)

Contributo UE

€ 879 950

Partecipanti (14)

UNIVERSITA DEGLI STUDI DI CAGLIARI

Italia

Contributo UE

€ 631 987,29

UNIVERSITEIT VAN AMSTERDAM

Paesi Bassi

Contributo UE

€ 352 687,50

UNIVERSITEIT LEIDEN

Paesi Bassi

Contributo UE

€ 321 625

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH

Svizzera

Contributo UE

€ 481 250

UNIVERSITA DEGLI STUDI DI SASSARI

Italia

Contributo UE

€ 217 000

PKE HOLDING AG

Austria

Contributo UE

€ 322 392,50

CA TECHNOLOGIES DEVELOPMENT SPAIN SA

Spagna

Contributo UE

€ 110 210,63

SOFTWARE COMPETENCE CENTER HAGENBERG GMBH

Austria

Contributo UE

€ 361 333,33

SANTER REPLY SPA

Italia

Contributo UE

€ 303 991,25

IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD

Israele

Contributo UE

€ 838 675

SYSTHMATA YPOLOGISTIKIS ORASHS IRIDA LABS AE

Grecia

Contributo UE

€ 357 500

PLURIBUS ONE SRL

Italia

Contributo UE

€ 250 000

MEDYMATCH TECHNOLOGY LTD

Israele

Contributo UE

€ 301 500

UNIVERSIDAD POMPEU FABRA

Spagna

Contributo UE

€ 246 312,50

Informazioni relative al progetto

ID dell’accordo di sovvenzione: 780788

Stato

Progetto in corso

  • Data di avvio

    1 Gennaio 2018

  • Data di completamento

    31 Dicembre 2020

Finanziato da:

H2020-EU.2.1.1.

  • Bilancio complessivo:

    € 5 976 415

  • Contributo UE

    € 5 976 415

Coordinato da:

STMICROELECTRONICS SRL

Italia