Boosting TalTech Capacity in Reliable and Efficient AI-Chip Design

Información del proyecto

TAICHIP

Identificador del acuerdo de subvención: 101160182

DOI

10.3030/101160182

Fecha de la firma de la CE 30 Abril 2024

Fecha de inicio 1 Septiembre 2024

Fecha de finalización 31 Agosto 2027

Financiado con arreglo a

• Widening participation and spreading excellence

Coste total

Sin datos

Aportación de la UE

€ 1 234 567,89

Coordinado por

TALLINNA TEHNIKAÜLIKOOL
Estonia

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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).

Publicaciones

Peer reviewed articles (5)

An Efficient Architecture for Edge AI Federated Learning With Homomorphic Encryption

Autores: Dadmehr Rahbari, Masoud Daneshtalab, Maksim Jenihhin
Publicado en: IEEE Access, Edición 13, 2025, ISSN 2169-3536
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3576689

AdAM: Adaptive Approximate Multiplier for Fault Tolerance in DNN Accelerators

Autores: Mahdi Taheri, Natalia Cherezova, Samira Nazari, Ali Azarpeyvand, Tara Ghasempouri, Masoud Daneshtalab, Jaan Raik, Maksim Jenihhin
Publicado en: IEEE Transactions on Device and Materials Reliability, Edición 25, 2025, ISSN 1530-4388
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.36227/TECHRXIV.171502587.72983622/V1

FORTALESA: Fault-tolerant reconfigurable systolic array for DNN inference

Autores: Natalia Cherezova, Artur Jutman, Maksim Jenihhin
Publicado en: Microprocessors and Microsystems, Edición 119, 2025, ISSN 0141-9331
Editor: Elsevier BV
DOI: 10.1016/J.MICPRO.2025.105222

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

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

AdAM: Adaptive Approximate Multiplier for Fault Tolerance in DNN Accelerators

Autores: Mahdi Taheri, Natalia Cherezova, Samira Nazari, Ali Azarpeyvand, Tara Ghasempouri, Masoud Daneshtalab, Jaan Raik, Maksim Jenihhin
Publicado en: IEEE Transactions on Device and Materials Reliability, Edición 25, 2025, ISSN 1530-4388
Editor: 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

Autores: Ahsan Rafiq, Alberto Bosio, Salvatore Pappalardo, Maksim Jenihhin
Publicado en: 2025 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2025
Editor: IEEE
DOI: 10.1109/ISVLSI65124.2025.11130248

Adaptive Fault Resilience for Early-Exit DNNs

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

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

Autores: Samira Nazari, Mahdi Taheri, Ali Azarpeyvand, Mohsen Afsharchi, Christian Herglotz, Maksim Jenihhin
Publicado en: 2025 IEEE 26th Latin American Test Symposium (LATS), 2025
Editor: IEEE
DOI: 10.1109/LATS65346.2025.10963948

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

Autores: Samira Nazari, Mahdi Taheri, Ali Azarpeyvand, Mohsen Afsharchi, Tara Ghasempouri, Christian Herglotz, Masoud Daneshtalab, Maksim Jenihhin
Publicado en: 2024
Editor: 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

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

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

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

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

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

XMULT: An Energy-Efficient Design of Approximate Multiplier

Autores: Ahsan Rafiq, Maksim Jenihhin
Publicado en: 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), 2025
Editor: IEEE
DOI: 10.1109/DSN-W65791.2025.00047

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

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