A multiprocessor system on chip with in-memory neural processing unit

Project Information

NeuroSoC

Grant agreement ID: 101070634

DOI

10.3030/101070634

EC signature date 20 June 2022

Start date 1 September 2022

End date 28 February 2026

Funded under

• Digital, Industry and Space

Total cost

€ 7 952 677,50

EU contribution

€ 7 952 677,00

Coordinated by

STMICROELECTRONICS SRL
Italy

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (6)

Competitors, benchmarsk and KPIs report

Competitor benchmarking report and Benchmark documentation data and KPIs

Report on AI optimized ISA extensions
Public communication activities - first year

Public communication activities first year

Public communication activities - second year
Tool-flow for performance evaluation

Toolflow for performance evaluation NeuroSoc competition

RISC-V co-processor unit for IMNPU specifications, functional safe RISC-V host core specifications

RISCV coprocessor unit for IMNPU specifications functional safe RISCV host core specifications

Publications

Peer reviewed articles (5)

Exploiting the State Dependency of Conductance Variations in Memristive Devices for Accurate In-Memory Computing

Author(s): Athanasios Vasilopoulos, Julian Buchel, Benedikt Kersting, Corey Lammie, Kevin Brew, Samuel Choi, Timothy Philip, Nicole Saulnier, Vijay Narayanan, Manuel Le Gallo, Abu Sebastian
Published in: IEEE Transactions on Electron Devices, 2023, ISSN 1557-9646
Publisher: IEEE
DOI: 10.1109/TED.2023.3321014

IEEE Design and Test

Author(s): Philip Wiese; Gamze İslamoğlu; Moritz Scherer; Luka Macan; Victor Jean-Baptiste Jung; Alessio Burrello; Francesco Conti; Luca Benini
Published in: IEEE Design & est, 2025, ISSN 2168-2356
Publisher: IEEE Design & Test
DOI: 10.48550/ARXIV.2408.02473

Designing Circuits for AiMC Based on Non-Volatile Memories: a Tutorial Brief on Trade-offs and Strategies for ADCs and DACs Co-design

Author(s): Vignali, Ricardo; Zurla, R; Pasotti, Marco; Rolandi, P. L; Singh, A.; Le Gallo, Manuel; Sebastian, Abu; Jang, Taekwang; Antolini, Alessio; FRANCHI SCARSELLI, Eleonora; Cabrini, Alessandro
Published in: IEEE Transactions on Circuits and Systems, 2024, ISSN 1558-0806
Publisher: IEEE
DOI: 10.1109/tcsii.2023.3340112

Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC With 2–8 b DNN Acceleration and 30%-Boost Adaptive Body Biasing

Author(s): Francesco Conti; Gianna Paulin; Angelo Garofalo; Davide Rossi; Alfio Di Mauro; Georg Rutishauser; Gianmarco Ottavi; Manuel Eggiman; Hayate Okuhara; Luca Benini
Published in: IEEE Journal of Solid-State Circuits, 59 (1), 2024, ISSN 1558-173X
Publisher: IEEE
DOI: 10.48550/arxiv.2305.08415

RedMule: A Mixed-Precision Matrix-Matrix Operation Engine for Flexible and Energy-Efficient On-Chip Linear Algebra and TinyML Training Acceleration

Author(s): TORTORELLA, Yvan; Bertaccini, Luca; BENINI, LUCA; ROSSI, Davide; Conti, Francesco
Published in: Future Generation Computer Systems, 2023, ISSN 0167-739X
Publisher: Future Generation Computer Systems
DOI: 10.48550/arxiv.2301.03904

Book chapters (2)

On the Sampling Sparsity of Neuromorphic Analog-to-Spike Conversion based on Leaky Integrate-and-Fire

Author(s): Moser, Bernhard A.; Lunglmayr, Michael
Published in: 2024, ISSN 2634-4386
Publisher: Neuromorphic Computing and Engineering
DOI: 10.48550/ARXIV.2410.17441

On the sampling sparsity of analog-to-spike conversion based on leaky integrate-and-fire

Author(s): Bernhard A Moser; Michael Lunglmayr
Published in: Neuromorphic Computing and Engineering, 2025, ISSN 2634-4386
Publisher: Neuromorphic Computing and Engineering
DOI: 10.1088/2634-4386/ADB884

Conference proceedings (8)

ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers

Author(s): İslamoğlu, Gamze; Scherer, Moritz; Paulin, Gianna; Fischer, Tim; Jung, Victor J.B.; Garofalo, Angelo; BENINI, LUCA
Published in: 2023 ACM/IEEE International Symposium on Low Power Electronics and Design, 2023, ISBN 978-1-4503-9354-6
Publisher: IEEE
DOI: 10.3929/ethz-b-000638984

A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing

Author(s): Ferro, Elena; Vasilopoulos, Athanasios; Lammie, Corey; Gallo, Manuel Le; Benini, Luca; Boybat, Irem; Sebastian, Abu
Published in: 2024 IEEE International Symposium, 2024, ISBN 979-8-3503-3099-1
Publisher: 2024 IEEE International Symposium
DOI: 10.48550/arxiv.2402.07549

Deeploy: Enabling Energy-Efficient Deployment of Small Language Models on Heterogeneous Microcontrollers

Author(s): Moritz Scherer; Luka Macan; Victor J. B. Jung; Philip Wiese; Luca Bompani; Alessio Burrello; Francesco Conti; Luca Benini
Published in: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024
Publisher: ESWEEK - CASES 2024
DOI: 10.48550/ARXIV.2408.04413

WIP: Automatic DNN Deployment on Heterogeneous Platforms: the GAP9 Case Study

Author(s): Luka Macan; Alessio Burrello; Luca Benini; Francesco Conti
Published in: 2023 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES), 2023, ISSN 2643-1726
Publisher: IEEE
DOI: 10.1145/3607889.3609092

Specialization meets Flexibility: a Heterogeneous Architecture for High-Efficiency, High-flexibility AR/VR Processing

Author(s): Prasad, AS; Benini, L; Conti, F
Published in: 2023 60th ACM/IEEE Design Automation Conference (DAC), 2023, ISBN 979-8-3503-2348-1
Publisher: IEEE Press
DOI: 10.3929/ETHZ-B-000639835

A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks

Author(s): Nadalini, Alessandro; Rutishauser, Georg; Burrello, Alessio; Bruschi, Nazareno; Garofalo, Angelo; Benini, Luca; Conti, Francesco; Rossi, Davide
Published in: 2023 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2023, ISBN 979-8-3503-2769-4
Publisher: IEEE
DOI: 10.48550/arxiv.2307.01056

On the Solvability of the {XOR} Problem by Spiking Neural Networks

Author(s): Moser, Bernhard A.; Lunglmayr, Michael
Published in: 2024
Publisher: Communications in Computer and Information Science ((CCIS,volume 2169))
DOI: 10.48550/ARXIV.2408.05845

xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems

Author(s): Georg Rutishauser, Joan Mihali, Moritz Scherer, Luca Benini
Published in: IEEE Application-specific Systems, Architectures and Processors, 2024, ISSN 2160-0511
Publisher: IEEE

Other (6)

TOOL-FLOW FOR PERFORMANCE EVALUATION

Author(s): Theodore Antonakopoulos; Iain Keaney
Published in: 2023
Publisher: NEUROSOC
DOI: 10.5281/ZENODO.8192699

Multi-Mode Borderguard Controllers for Efficient On-Chip Communication in Heterogeneous Digital/Analog Neural Processing Units

Author(s): Hong Pang; Carmine Cappetta; Riccardo Massa; Athanasios Vasilopoulos; Elena Ferro; Gamze Islamoglu
Published in: 2025 Design, Automation & Test in Europe Conference (DATE), 2025
Publisher: IEEE
DOI: 10.5281/ZENODO.18094955

Spiking Neural Networks in the Alexiewicz Topology: A New Perspective on Analysis and Error Bounds

Author(s): Moser, Bernhard A.; Lunglmayr, Michael
Published in: 2023
Publisher: preprint
DOI: 10.48550/arxiv.2305.05772

Heterogeneous neural processing units leveraging analog in-memory computing for edge AI

Author(s): Irem Boybat
Published in: VSLI 2025, 2025
Publisher: VLSI
DOI: 10.5281/ZENODO.18096883

On Leaky-Integrate-and Fire as Spike-Train-Quantization Operator on Dirac-Superimposed Continuous-Time Signals

Author(s): Moser, Bernhard A.; Lunglmayr, Michael
Published in: 2024
Publisher: PREPRINT
DOI: 10.48550/arxiv.2402.07954

Use of RISC-V to develop multiprocessor host subsystems for accelerated platform with In Memory computing based on NVM memories for AI inference answering functional safety requirements for industrial and automotive applications

Author(s): Giulio Urlini and all partners
Published in: 2024
Publisher: RISC-V SUMMIT