Seamless design of smart edge processors

Informacje na temat projektu

CONVOLVE

Identyfikator umowy o grant: 101070374

DOI

10.3030/101070374

Projekt został zamknięty

Data podpisania przez KE 23 Czerwca 2022

Data rozpoczęcia 1 Listopada 2022

Data zakończenia 31 Października 2025

Finansowanie w ramach

• Digital, Industry and Space

Koszt całkowity

€ 8 418 127,50

Wkład UE

€ 8 416 876,50

Koordynowany przez

TECHNISCHE UNIVERSITEIT EINDHOVEN
Netherlands

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Documents, reports (17)

Technical specification for neural accelerator hardware

Set of technical requirements for hardware accelerators for neural networks (to WP2)

Description SoC architecture, and the rapid design & prototyping environment

Report in detail the developed SoC architecture, and the first generation of the rapid design & prototyping environment useable by other partners.

Requirements, Threats, and Vulnerabilities Analysis

Description of the use cases security requirements, potential threats, and identified vulnerabilities

Intermediate Neural network resiliency analysis and AxC optimizations

Intermediate report of the NN resiliency analysis for AxC framework

Modular architecture template definition

Definition of high level SoC architecture and interfaces for accelerators, to be aligned with WP2/3.

Update of requirements and use cases

Update of D1.1 after the point demos are ready

Compiler prototype

Report and first prototype of our compiler and DSL framework, implementing constraints and opportunities in the compiler middle end. This deliverable is extended to incorporate topology-aware asymmetric CGRA arithmetic mappings;

Initial requirements and use cases

Description of the use cases, their first set of requirements and their technical specification. These are originating from all use cases on all aspects of the CONVOLVE objectives. An initial relationship between requirements and objectives to use-cases is provided.

Report on the roadmap

Definition of energy-efficient, reconfigurable, and self-healing accelerators.

Initial communication plan and reports

Initial definition of the communication plan and reporting of the communication activities carried out.

Initial Dissemination plan and report

Initial report on definition of the dissemination plan and reporting of the dissemination activities carried out

Intermediate report on the design of the targeted accelerator blocks

Definition of the micro-architecture of the targeted accelerators and design progress of the targeted accelerators.

Roadmap document for neural networks

Roadmap document for low power, high performance neural networks.

Description of the gen1 performance analysis framework and DSE framework

Report in detail the first generation of the developed performance analysis framework and DSE framework for heterogeneous ML platforms useable by other partners.

Constraints and opportunities definition

Integration design document on (security) constraints and (optimization) opportunities and compiler interface design, including interfaces with other WPs and open-source infrastructure (LLVM, MLIR).

Initial Memory management and allocation for ULP accelerators

Initial report and code of the MM customized to the CONVOLVE SoC architecture

Intermediate report on the accelerator simulator

Reporting the developed performance models and provides the progress of the simulator design to utilize the models

Websites, patent fillings, videos etc. (1)

Project identity set and website

Definition of project's identity set and website launch

Data Management Plan (1)

Data Management Plan

Data management plan based on FAIR principles

Publikacje

Conference proceedings (32)

Late Breaking Results: Language-level QoR modeling for High-Level Synthesis

Autorzy: Dimosthenis Masouros, Aggelos Ferikoglou, Georgios Zervakis, Sotirios Xydis, Dimitrios Soudris
Opublikowane w: Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
Wydawca: ACM
DOI: 10.1145/3649329.3663500

SECOMP: Formally Secure Compilation of Compartmentalized C Programs

Autorzy: Jérémy Thibault, Roberto Blanco, Dongjae Lee, Sven Argo, Arthur Azevedo de Amorim, Aïna Linn Georges, Cătălin Hriţcu, Andrew Tolmach
Opublikowane w: Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2025
Wydawca: ACM
DOI: 10.1145/3658644.3670288

CMDS: Cross-layer Dataflow Optimization for DNN Accelerators Exploiting Multi-bank Memories

Autorzy: Man Shi; Steven Colleman MICAS-ESAT, KU Leuven ; Charlotte VanDeMieroop; Antony Joseph; Maurice Meijer; Wim Dehaene; Marian Verhelst
Opublikowane w: 2023 24th International Symposium on Quality Electronic Design (ISQED), 2023, ISSN 1948-3295
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ISQED57927.2023.10129330

An Empirical Evaluation of Sliding Windows on Siren Detection Task using Spiking Neural Networks

Autorzy: Shreya Kshirasagar; Andre Guntoro; Christian Mayr
Opublikowane w: 6th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2024), 2024, ISSN 2938-5350
Wydawca: International Frequency Sensor Association
DOI: 10.13140/RG.2.2.23368.53763

ACCO: Automated Causal CNN Scheduling Optimizer for Real-Time Edge Accelerators

Autorzy: Jun Yin, Linyan Mei, Andre Guntoro, Marian Verhelst
Opublikowane w: """2023 IEEE 41st International Conference on Computer Design (ICCD) """, 2023, ISSN 2576-6996
Wydawca: ACM/IEEE
DOI: 10.1109/ICCD58817.2023.00065

HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms

Autorzy: Josse Van Delm, Maarten Vandersteegen, Alessio Burrello, Giuseppe Maria Sarda, Francesco Conti, Daniele Jahier Pagliari, Luca Benini, Marian Verhelst
Opublikowane w: 2023 60th ACM/IEEE Design Automation Conference (DAC), 2024
Wydawca: IEEE
DOI: 10.1109/DAC56929.2023.10247664

ESAM: Energy-efficient SNN Architecture using 3nm FinFET Multiport SRAM-based CIM with Online Learning

Autorzy: Lucas Huijbregts, Liu Hsiao-Hsuan, Paul Detterer, Said Hamdioui, Amirreza Yousefzadeh, Rajendra Bishnoi
Opublikowane w: 2024
Wydawca: Proceedings of the 61st ACM/IEEE Design Automation Conference
DOI: 10.48550/arXiv.2410.09130

A Multi-level Compiler Backend for Accelerated Micro-kernels Targeting RISC-V ISA Extensions

Autorzy: Alexandre Lopoukhine, Federico Ficarelli, Christos Vasiladiotis, Anton Lydike, Josse Van Delm, Alban Dutilleul, Luca Benini, Marian Verhelst, Tobias Grosser
Opublikowane w: Proceedings of the 23rd ACM/IEEE International Symposium on Code Generation and Optimization, 2025
Wydawca: ACM
DOI: 10.1145/3696443.3708952

Auditory Anomaly Detection using Recurrent Spiking Neural Networks

Autorzy: Shreya Kshirasagar; Benjamin Cramer; Andre Guntoro; Christian Mayr
Opublikowane w: IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2024, ISSN 2834-9857
Wydawca: IEEE
DOI: 10.1109/AICAS59952.2024.10595878

Dependability of Future Edge-AI Processors: Pandora’s Box

Autorzy: Manil Dev Gomony, Anteneh Gebregiorgis, Moritz Fieback, Marc Geilen, Sander Stuijk, Jan Richter-Brockmann, Rajendra Bishnoi, Sven Argo, Lara Arche Andradas, Tim Güneysu, Mottaqiallah Taouil, Henk Corporaal, Said Hamdioui
Opublikowane w: 2023 IEEE European Test Symposium (ETS), 2023, ISSN 1558-1780
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ETS56758.2023.10174180

Optimizing Layer-Fused Scheduling of Transformer Networks on Multi-accelerator Platforms

Autorzy: Steven Colleman, Arne Symons, Victor J.B. Jung, Marian Verhelst
Opublikowane w: 2024 25th International Symposium on Quality Electronic Design (ISQED), 2024, ISSN 1948-3295
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ISQED60706.2024.10528689

Verifying Peephole Rewriting In SSA Compiler IRs

Autorzy: Siddharth Bhat, Alex Keizer, Chris Hughes, Andres Goens and Tobias Grosser
Opublikowane w: 2024
Wydawca: Open Access
DOI: 10.48550/arXiv.2407.03685

Decoupled Access-Execute Enabled DVFS for TinyML Deployments on STM32 Microcontrollers

Autorzy: Elisavet Lydia Alvanaki, Manolis Katsaragakis, Dimosthenis Masouros, Sotirios Xydis, Dimitrios Soudris
Opublikowane w: 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024
Wydawca: IEEE
DOI: 10.23919/DATE58400.2024.10546540

Differentiable Transportation Pruning

Autorzy: Li, Yunqiang; van Gemert, Jan C.; Hoefler, Torsten; Moons, Bert; Eleftheriou, Evangelos; Verhoef, Bram-Ernst
Opublikowane w: 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023, ISSN 2380-7504
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.48550/ARXIV.2307.08483

DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling

Autorzy: Mei, Linyan; Goetschalckx, Koen; Symons, Arne; Verhelst, Marian
Opublikowane w: 2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2023, ISSN 2378-203X
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/HPCA56546.2023.10071098

Challenges and Opportunities of Security-Aware EDA

Autorzy: Jakob Feldtkeller; Pascal Sasdrich; Tim Güneysu
Opublikowane w: ACM Transactions on Embedded Computing Systems, 2023, ISSN 1539-9087
Wydawca: Association for Computing Machinery
DOI: 10.1145/3576199

xDSL: Sidekick Compilation for SSA-Based Compilers

Autorzy: Mathieu Fehr, Michel Weber, Christian Ulmann, Alexandre Lopoukhine, Martin Paul Lücke, Théo Degioanni, Christos Vasiladiotis, Michel Steuwer, Tobias Grosser
Opublikowane w: Proceedings of the 23rd ACM/IEEE International Symposium on Code Generation and Optimization, 2025
Wydawca: ACM
DOI: 10.1145/3696443.3708945

SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators

Autorzy: Victor J.B. Jung, Arne Symons, Linyan Mei, Marian Verhelst, Luca Benini
Opublikowane w: 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), Numer 10168625, 2023, ISSN 2834-9857
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/AICAS57966.2023.10168625

PetaOps/W edge-AI Processors: Myth or reality?

Autorzy: Manil Dev Gomony, Floran De Putter, Anteneh Gebregiorgis, Gianna Paulin, Linyan Mei, Vikram Jain, Said Hamdioui, Victor Sanchez, Tobias Grosser, Marc Geilen, Marian Verhelst, Friedemann Zenke, Frank Gurkaynak, Barry De Bruin, Sander Stuijk, Simon Davidson
Opublikowane w: 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023, ISSN 1558-1101
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.23919/DATE56975.2023.10136926

Analog or Digital In-Memory Computing? Benchmarking Through Quantitative Modeling

Autorzy: Jiacong Sun, Pouya Houshmand, Marian Verhelst
Opublikowane w: 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2023, ISSN 1933-7760
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ICCAD57390.2023.10323763

Towards a tailored mixed-precision sub-8-bit quantization scheme for Gated Recurrent Units using Genetic Algorithms

Autorzy: Riccardo Miccini, Alessandro Cerioli, Clément Laroche, Tobias Piechowiak, Jens Sparsø, Luca Pezzarossa
Opublikowane w: Proceedings of tinyML Research Symposium (tinyML Research Symposium’24), 2024, ISSN 2331-8422
Wydawca: Association for Computing Machinery
DOI: 10.48550/ARXIV.2402.12263

Gadget-based Masking of Streamlined NTRU Prime Decapsulation in Hardware

Autorzy: Adrian Marotzke, Georg Land, Jan Richter-Brockmann, Tim Güneysu
Opublikowane w: IACR Transactions on Cryptographic Hardware and Embedded Systems (CHES 2024), 2023, ISSN 2569-2925
Wydawca: International Association for Cryptologic Research
DOI: 10.46586/TCHES.V2024.I1.1-26

Optimising GPGPU Execution Through Runtime Micro-Architecture Parameter Analysis

Autorzy: Giuseppe Maria Sarda, Nimish Shah, Debjyoti Bhattacharjee, Peter Debacker, Marian Verhelst
Opublikowane w: 2023 IEEE INTERNATIONAL SYMPOSIUM ON WORKLOAD CHARACTERIZATION, IISWC; 2023, 2023, ISSN 2835-2238
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/IISWC59245.2023.00017

CELLO: Compiler-Assisted Efficient Load-Load Ordering in Data-Race-Free Regions

Autorzy: S Singh, J Feliu, ME Acacio, A Jimborean, A Ros
Opublikowane w: International Conference on Parallel Architectures and Compilation Techniques (PACT), 2023, ISBN 979-8-3503-4254-3
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/PACT58117.2023.00009

A Holistic Approach Towards Side-Channel Secure Fixed-Weight Polynomial Sampling

Autorzy: Markus Krausz, Georg Land, Jan Richter-Brockmann, Tim Güneysu
Opublikowane w: PKC 2023: 26th IACR International Conference on Practice and Theory of Public-Key Cryptography, 2023, ISSN 0302-9743
Wydawca: Public-Key Cryptography
DOI: 10.1007/978-3-031-31371-4_4

Resource-Efficient Speech Quality Prediction through Quantization Aware Training and Binary Activation Maps

Autorzy: Mattias Nilsson, Riccardo Miccini, Clement Laroche, Tobias Piechowiak, Friedemann Zenke
Opublikowane w: Interspeech 2024, 2024
Wydawca: ISCA
DOI: 10.21437/Interspeech.2024-1979

Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge

Autorzy: Rutishauser, Georg; Conti, Francesco; Benini, Luca
Opublikowane w: 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023, ISSN 2834-9857
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/AICAS57966.2023.10168577

Quantitative Fault Injection Analysis

Autorzy: Jakob Feldtkeller, Tim Güneysu, Patrick Schaumont
Opublikowane w: Advances in Cryptology – ASIACRYPT 2023, 2023, ISSN 0302-9743
Wydawca: Springer, Singapore
DOI: 10.1007/978-981-99-8730-6_10

Combined Private Circuits - Combined Security Refurbished

Autorzy: Jakob Feldtkeller, Tim Güneysu, Thorben Moos, Jan Richter-Brockmann, Sayandeep Saha, Pascal Sasdrich, François-Xavier Standaert
Opublikowane w: ACM Conference on Computer and Communications Security (CCS), 2023, ISSN 1543-7221
Wydawca: Association for Computing Machinery
DOI: 10.1145/3576915.3623129

Dynamic nsNET2: Efficient Deep Noise Suppression with Early Exiting

Autorzy: Miccini, Riccardo; Zniber, Alaa; Laroche, Clément; Piechowiak, Tobias; Schoeberl, Martin; Pezzarossa, Luca; Karrakchou, Ouassim; Sparsø, Jens; Ghogho, Mounir
Opublikowane w: IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023), 2023, ISSN 2161-0371
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/MLSP55844.2023.10285925

Data-driven HLS optimization for reconfigurable accelerators

Autorzy: Aggelos Ferikoglou, Andreas Kakolyris, Vasilis Kypriotis, Dimosthenis Masouros, Dimitrios Soudris, Sotirios Xydis
Opublikowane w: Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
Wydawca: ACM
DOI: 10.1145/3649329.3658471

Alternate Path μ-op Cache Prefetching

Autorzy: Sawan Singh, Arthur Perais, Alexandra Jimborean, Alberto Ros
Opublikowane w: 2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA), 2024
Wydawca: IEEE
DOI: 10.1109/ISCA59077.2024.00092

Peer reviewed articles (4)

Falcon: A Scalable Analytical Cache Model

Autorzy: Arjun Pitchanathan, Kunwar Grover, Tobias Grosser
Opublikowane w: Proceedings of the ACM on Programming Languages, Numer 8, 2024, ISSN 2475-1421
Wydawca: Association for Computing Machinery (ACM)
DOI: 10.1145/3656452

COAC: Cross-Layer Optimization of Accelerator Configurability for Efficient CNN Processing

Autorzy: Steven Colleman; Man Shi; Marian Verhelst
Opublikowane w: IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023, ISSN 1063-8210
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TVLSI.2023.3268084

Reliable and Energy-Efficient Diabetic Retinopathy Screening Using Memristor-Based Neural Networks

Autorzy: Sumit Diware, Koteswararao Chilakala, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi
Opublikowane w: IEEE Access, Numer Volume 12, 2024, ISSN 2169-3536
Wydawca: IEEE
DOI: 10.1109/ACCESS.2024.3383014

Synthetic data generation techniques for training deep acoustic siren identification networks

Autorzy: Stefano Damiano; Benjamin Cramer;Andre Guntoro; Toon van Waterschoot
Opublikowane w: Frontiers in Signal Processing, Numer Volume 4 - 2024, 2024, ISSN 2673-8198
Wydawca: Frontiers
DOI: 10.3389/frsip.2024.1358532

Other (1)

Dynamic Early Exiting Predictive Coding Neural Networks

Autorzy: Alaa Zniber, Ouassim Karrakchou, Mounir Ghogho
Opublikowane w: 2024
Wydawca: open source
DOI: 10.48550/arXiv.2309.02022