Boosting TalTech Capacity in Reliable and Efficient AI-Chip Design

Informazioni relative al progetto

TAICHIP

ID dell’accordo di sovvenzione: 101160182

DOI

10.3030/101160182

Data della firma CE 30 Aprile 2024

Data di avvio 1 Settembre 2024

Data di completamento 31 Agosto 2027

Finanziato da

• Widening participation and spreading excellence

Costo totale

Nessun dato

Contributo UE

€ 1 234 567,89

Coordinato da

TALLINNA TEHNIKAÜLIKOOL
Estonia

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (5)

Plan for the dissemination and exploitation, including communication

Plan for the dissemination and exploitation, including communication (a plan, implementation and conclusive analysis). It reports on activities in tasks T5.1, T5.2 and T5.3.

Report on upskilling staff in research management

Report on TAICHIP research management capacity development related to the progress of tasks:T3.1 Upskilling staff in project proposal preparation and project managementT3.3 Upgrading research management/administration unit

Initial techniques for optimization and implementation of AI-chips

"Report on initial research results achieved in tasks T4.3 ""Efficiency optimisation of processor-accelerator pair"" and T4.4 ""Reliable hardware implementation of AI chips""."

Initial techniques for open AI-accelerator and processor architectures

"Report on initial research results achieved in tasks T4.1 ""Advanced AI-accelerator architectures"" and T4.2 ""Open processor architectures""."

Report on TAICHIP networking for excellence in research

Report on TAICHIP networking for excellence in research related to the progress of tasks:T1.1 Short-term scientific missions and virtual meetings within the consortiumT1.2 TAICHIP training eventsT1.3 Advanced technical tutorials by invited external expertsT1.4 Joint supervision of students and postdocs

Data Management Plan (1)

Research data management plan (DMP)

Research data management plan (DMP).

Pubblicazioni

Peer reviewed articles (4)

An Efficient Architecture for Edge AI Federated Learning With Homomorphic Encryption

Autori: Dadmehr Rahbari, Masoud Daneshtalab, Maksim Jenihhin
Pubblicato in: IEEE Access, Numero 13, 2025, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3576689

FORTALESA: Fault-tolerant reconfigurable systolic array for DNN inference

Autori: Natalia Cherezova, Artur Jutman, Maksim Jenihhin
Pubblicato in: Microprocessors and Microsystems, Numero 119, 2025, ISSN 0141-9331
Editore: Elsevier BV
DOI: 10.1016/J.MICPRO.2025.105222

Special Session: In-Field ML-Assisted Intermittent Fault Localization and Management in RISC-V SoCs

Autori: Selg, Hardi; Shibin, Konstantin; Tsertov, Anton; Jenihhin, Maksim; Ellervee, Peeter; Raik, Jaan
Pubblicato in: 2024 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), 2024, ISSN 2765-933X
Editore: IEEE
DOI: 10.1109/DFT63277.2024.10753541

AdAM: Adaptive Approximate Multiplier for Fault Tolerance in DNN Accelerators

Autori: Mahdi Taheri, Natalia Cherezova, Samira Nazari, Ali Azarpeyvand, Tara Ghasempouri, Masoud Daneshtalab, Jaan Raik, Maksim Jenihhin
Pubblicato in: IEEE Transactions on Device and Materials Reliability, Numero 25, 2025, ISSN 1530-4388
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TDMR.2024.3523386

Conference proceedings (9)

AxEnMULT: Design of an Efficient and Reliable Approximate Encoding-Based Multiplier

Autori: Ahsan Rafiq, Alberto Bosio, Salvatore Pappalardo, Maksim Jenihhin
Pubblicato in: 2025 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2025
Editore: IEEE
DOI: 10.1109/ISVLSI65124.2025.11130248

Adaptive Fault Resilience for Early-Exit DNNs

Autori: Kodamanchili, Rama Mounika; Cherezova; Natalia; Taheri, Mahdi; Jenihhin, Maksim
Pubblicato in: IEEE Asian Test Symposium (ATS'25) (ATS-25)
DOI: 10.5281/ZENODO.18462542

Reliability-Aware Performance Optimization of DNN HW Accelerators Through Heterogeneous Quantization

Autori: Samira Nazari, Mahdi Taheri, Ali Azarpeyvand, Mohsen Afsharchi, Christian Herglotz, Maksim Jenihhin
Pubblicato in: 2025 IEEE 26th Latin American Test Symposium (LATS), 2025
Editore: IEEE
DOI: 10.1109/LATS65346.2025.10963948

FORTUNE: A Negative Memory Overhead Hardware-Agnostic Fault TOleRance TechniqUe in DNNs

Autori: Samira Nazari, Mahdi Taheri, Ali Azarpeyvand, Mohsen Afsharchi, Tara Ghasempouri, Christian Herglotz, Masoud Daneshtalab, Maksim Jenihhin
Pubblicato in: 2024
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.36227/techrxiv.173143099.94285566/v1

Special Session: In-Field ML-Assisted Intermittent Fault Localization and Management in RISC-V SoCs

Autori: Hardi Selg, Konstantin Shibin, Anton Tsertov, Maksim Jenihhin, Peeter Ellervee, Jaan Raik
Pubblicato in: 2024 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), 2024
Editore: IEEE
DOI: 10.1109/DFT63277.2024.10753541

FORTUNE: A Negative Memory Overhead Hardware-Agnostic Fault TOleRance TechniqUe in DNNs

Autori: Samira Nazari, Mahdi Taheri, Ali Azarpeyvand, Mohsen Afsharchi, Tara Ghasempouri, Christian Herglotz, Masoud Daneshtalab, Maksim Jenihhin
Pubblicato in: 2024 IEEE 33rd Asian Test Symposium (ATS), 2025
Editore: IEEE
DOI: 10.1109/ATS64447.2024.10915463

GENIE: GENetIc Algorithm-Based REliability Assessment Methodology for Deep Neural Networks

Autori: Samira Nazari, Mahdi Taheri, Ali Azarpeyvand, Mohsen Afsharchi, Christian Herglotz, Maksim Jenihhin
Pubblicato in: 2025 11th International Conference on Computing and Artificial Intelligence (ICCAI), 2025
Editore: IEEE
DOI: 10.1109/ICCAI66501.2025.00049

XMULT: An Energy-Efficient Design of Approximate Multiplier

Autori: Ahsan Rafiq, Maksim Jenihhin
Pubblicato in: 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), 2025
Editore: IEEE
DOI: 10.1109/DSN-W65791.2025.00047

RL-Agent-based Early-Exit DNN Architecture Search Framework

Autori: Mahdi Taheri, Parth Patne, Natalia Cherezova, Ali Mahani, Christian Herglotz, Maksim Jenihhin
Pubblicato in: 2025 IEEE 28th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS), 2025
Editore: IEEE
DOI: 10.1109/DDECS63720.2025.11006795