Seamless design of smart edge processors

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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

Publications

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

Auteurs: Dimosthenis Masouros, Aggelos Ferikoglou, Georgios Zervakis, Sotirios Xydis, Dimitrios Soudris
Publié dans: Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
Éditeur: ACM
DOI: 10.1145/3649329.3663500

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

Auteurs: Lucas Huijbregts; Hsiao-Hsuan Liu; Paul Detterer; Said Hamdioui; Amirreza Yousefzadeh; Rajendra Bishnoi
Publié dans: Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
Éditeur: Association for Computing Machinery
DOI: 10.48550/ARXIV.2410.09130

Multi-Partner Project: Securing Future Edge-AI Processors in Practice (CONVOLVE)

Auteurs: Sven Argo, Henk Corporaal, Alejandro Garza, Marc Geilen, Manil Dev Gomony, Tim Güneysu, Adrian Marotzke, Fouwad Mir, Jan Richter-Brockmann, Jeffrey Smith, Mottaqiallah Taouil, Said Hamdioui
Publié dans: 2025 Design, Automation &amp; Test in Europe Conference (DATE), 2025
Éditeur: IEEE
DOI: 10.23919/DATE64628.2025.10993210

SECOMP: Formally Secure Compilation of Compartmentalized C Programs

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

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

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

CIMple: Standard-cell SRAM-based CIM with LUT-based split softmax for attention acceleration

Auteurs: Bas Ahn, Xingjian Tao, Manil D. Gomony, Marc Geilen, Henk Corporaal
Publié dans: 2025 Cross-Disciplinary Conference on Memory-Centric Computing (CCMCC), 2026
Éditeur: IEEE
DOI: 10.1109/CCMCC67628.2025.11380467

Early Exiting Predictive Coding Neural Networks for Edge AI

Auteurs: Alaa Zniber, Mounir Ghogho, Ouassim Karrakchou, Mehdi Zakroum
Publié dans: 2025 33rd European Signal Processing Conference (EUSIPCO), 2025
Éditeur: IEEE
DOI: 10.23919/EUSIPCO63237.2025.11226813

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

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

Improving equilibrium propagation without weight symmetry through Jacobian homeostasis

Auteurs: Laborieux, A. and Zenke, F.
Publié dans: The Twelfth International Conference on Learning Representations, 2024
Éditeur: ICLR 2024
DOI: 10.48550/ARXIV.2309.02214

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

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

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

Auteurs: Lucas Huijbregts, Liu Hsiao-Hsuan, Paul Detterer, Said Hamdioui, Amirreza Yousefzadeh, Rajendra Bishnoi
Publié dans: 2024
Éditeur: 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

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

DataMaestro: A Versatile and Efficient Data Streaming Engine Bringing Decoupled Memory Access To Dataflow Accelerators

Auteurs: Xiaoling Yi, Yunhao Deng, Ryan Antonio, Fanchen Kong, Guilherme Paim, Marian Verhelst
Publié dans: 2025 62nd ACM/IEEE Design Automation Conference (DAC), 2025
Éditeur: IEEE
DOI: 10.1109/DAC63849.2025.11133141

The PMP Snapshot Engine: Fast and Fault-Resilient PMP Reconfiguration for RISC-V

Auteurs: Christian Larmann, Abdullah Aljuffri, Adrian Marotzke, Alejandro Garza, Said Hamdioui, Mottaqiallah Taouil
Publié dans: 2026 Design, Automation &amp; Test in Europe Conference (DATE), 2026, ISSN 1558-1101
Éditeur: IEEE
DOI: 10.23919/DATE69613.2026.11539331

Voltage Aware Approximate CGRA Synthesis for Energy Efficient DNN Inference

Auteurs: Georgios Alexandris, Panagiotis Chaidos, Alexis Maras, Barry de Bruin, Manil Dev Gomony, Henk Corporaal, Dimitrios Soudris, Sotirios Xydis
Publié dans: 2026 Design, Automation &amp; Test in Europe Conference (DATE), 2026, ISSN 1558-1101
Éditeur: IEEE
DOI: 10.23919/DATE69613.2026.11539365

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

Auteurs: 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
Publié dans: 2023 IEEE European Test Symposium (ETS), 2023, ISSN 1558-1780
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ETS56758.2023.10174180

DualRes: Production-ready Dynamic Object Detection

Auteurs: Jibril El Hassani, Thomas Verelst
Publié dans: 2026
Éditeur: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026
DOI: 10.1109/WACV61042.2026.00757

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

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

Auditory Anomaly Detection using Recurrent Spiking Neural Networks

Auteurs: Shreya Kshirasagar, Benjamin Cramer, Andre Guntoro, Christian Mayr
Publié dans: 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS), 2024
Éditeur: IEEE
DOI: 10.1109/AICAS59952.2024.10595878

Efficient Precision-Scalable Hardware for Microscaling (MX) Processing in Robotics Learning

Auteurs: Stef Cuyckens, Xiaoling Yi, Nitish Satya Murthy, Chao Fang, Marian Verhelst
Publié dans: 2025 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2025
Éditeur: IEEE
DOI: 10.1109/ISLPED65674.2025.11261796

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

Auteurs: Jun Yin, Linyan Mei, Andre Guntoro, Marian Verhelst
Publié dans: 2023 IEEE 41st International Conference on Computer Design (ICCD), 2024
Éditeur: IEEE
DOI: 10.1109/ICCD58817.2023.00065

Verifying Peephole Rewriting In SSA Compiler IRs

Auteurs: Siddharth Bhat, Alex Keizer, Chris Hughes, Andres Goens and Tobias Grosser
Publié dans: 2024
Éditeur: Open Access
DOI: 10.48550/arXiv.2407.03685

Energy Cost Modelling for Optimizing Large Language Model Inference on Hardware Accelerators

Auteurs: Robin Geens, Man Shi, Arne Symons, Chao Fang, Marian Verhelst
Publié dans: 2024 IEEE 37th International System-on-Chip Conference (SOCC), 2024
Éditeur: IEEE
DOI: 10.1109/SOCC62300.2024.10737844

Precision-Scalable Microscaling Datapaths with Optimized Reduction Tree for Efficient NPU Integration

Auteurs: Stef Cuyckens, Xiaoling Yi, Robin Geens, Joren Dumoulin, Martin Wiesner, Chao Fang, Marian Verhelst
Publié dans: 2026 31st Asia and South Pacific Design Automation Conference (ASP-DAC), 2026
Éditeur: IEEE
DOI: 10.1109/ASP-DAC66049.2026.11420756

OpenGeMM: A Highly-Efficient GeMM Accelerator Generator with Lightweight RISC-V Control and Tight Memory Coupling

Auteurs: Xiaoling Yi, Ryan Antonio, Joren Dumoulin, Jiacong Sun, Josse Van Delm, Guilherme Pereira Paim, Marian Verhelst
Publié dans: Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025
Éditeur: ACM
DOI: 10.1145/3658617.3697652

HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms

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

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

Auteurs: 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, Sayandip De, Mounir Ghogho, Alexandra Jimborean, Sherif Eissa, Luca Benini, Dimitrios Soudris, Rajendra Bishnoi, Sam Ainsworth, Federico Corradi, Ouassim Karrakchou, Tim Güneysu, Henk Corporaal
Publié dans: 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024, ISSN 1558-1101
Éditeur: IEEE
DOI: 10.23919/DATE56975.2023.10136926

LOKI: a 0.266 pJ/SOP Digital SNN Accelerator with Multi-Cycle Clock-Gated SRAM in 22 nm

Auteurs: Rick Luiken, Lorenzo Pes, Manil Dev Gomony, Sander Stuijk
Publié dans: 2026 31st Asia and South Pacific Design Automation Conference (ASP-DAC), 2026
Éditeur: IEEE
DOI: 10.1109/ASP-DAC66049.2026.11420301

NeuralCasting: A Front-End Compilation Infrastructure for Neural Networks

Auteurs: Alessandro Cerioli, Riccardo Miccini, Clément Laroche, Tobias Piechowiak, Luca Pezzarossa, Jens Sparsø, Martin Schoeberl
Publié dans: 2024 11th International Conference on Internet of Things: Systems, Management and Security (IOTSMS), 2024
Éditeur: IEEE
DOI: 10.1109/IOTSMS62296.2024.10710209

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

Auteurs: Elisavet Lydia Alvanaki, Manolis Katsaragakis, Dimosthenis Masouros, Sotirios Xydis, Dimitrios Soudris
Publié dans: 2024 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE), 2024
Éditeur: IEEE
DOI: 10.23919/DATE58400.2024.10546540

Differentiable Transportation Pruning

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

Enabling Automatic Compiler-Driven Vectorization of Transformers

Auteurs: Shreya Alladi, Alberto Ros, Alexandra Jimborean
Publié dans: 2026 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2026
Éditeur: IEEE
DOI: 10.1109/CGO68049.2026.11395226

TreeGRNG: Binary Tree Gaussian Random Number Generator for Efficient Probabilistic AI Hardware

Auteurs: Jonas Crols, Guilherme Paim, Shirui Zhao, Marian Verhelst
Publié dans: 2024 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE), 2024
Éditeur: IEEE
DOI: 10.23919/DATE58400.2024.10546516

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

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

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

Auteurs: Jiacong Sun, Pouya Houshmand, Marian Verhelst
Publié dans: 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2024
Éditeur: IEEE
DOI: 10.1109/ICCAD57390.2023.10323763

Challenges and Opportunities of Security-Aware EDA

Auteurs: Jakob Feldtkeller; Pascal Sasdrich; Tim Güneysu
Publié dans: ACM Transactions on Embedded Computing Systems, 2023, ISSN 1539-9087
Éditeur: Association for Computing Machinery
DOI: 10.1145/3576199

xDSL: Sidekick Compilation for SSA-Based Compilers

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

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

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

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

Auteurs: Man Shi, Steven Colleman, Charlotte VanDeMieroop, Antony Joseph, Maurice Meijer, Wim Dehaene, Marian Verhelst
Publié dans: 2023 24th International Symposium on Quality Electronic Design (ISQED), 2024
Éditeur: IEEE
DOI: 10.1109/ISQED57927.2023.10129330

AFSRAM-CIM: Adder Free SRAM-Based Digital Computation-in-Memory for BNN

Auteurs: Asmae El Arrassi, Mohammad Amin Yaldagard, Xingjian Tao, Taha Shahroodi, Fouwad Mir, Yashvardhan Biyani, Manil Dev Gomony, Anteneh Gebregiorgis, Rajiv Joshi, Said Hamdioui
Publié dans: 2024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration (VLSI-SoC), 2025
Éditeur: IEEE
DOI: 10.1109/VLSI-SOC62099.2024.10767789

Extracting Weights of CIM-Based Neural Networks Through Power Analysis of Adder-Trees

Auteurs: Fouwad Jamil Mir, Abdullah Aljuffri, Said Hamdioui, Mottaqiallah Taouil
Publié dans: 2024 IEEE European Test Symposium (ETS), 2024
Éditeur: IEEE
DOI: 10.1109/ETS61313.2024.10567473

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

Auteurs: 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
Publié dans: 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023, ISSN 1558-1101
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.23919/DATE56975.2023.10136926

Compiler-Assisted Instruction Fusion

Auteurs: Ravikiran Ravindranath Reddy, Sawan Singh, Arthur Perais, Alberto Ros, Alexandra Jimborean
Publié dans: 2026 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2026
Éditeur: IEEE
DOI: 10.1109/CGO68049.2026.11394845

Implicit variance regularization in non-contrastive SSL. Advances in Neural Information Processing Systems

Auteurs: Halvagal, M. S., Laborieux, A., & Zenke, F.
Publié dans: Neurips 22023, 2023
Éditeur: NeurIPS 2023
DOI: 10.48550/ARXIV.2212.04858

Mixed-precision Neural Networks on RISC-V Cores: ISA extensions for Multi-Pumped Soft SIMD Operations

Auteurs: Giorgos Armeniakos, Alexis Maras, Sotirios Xydis, Dimitrios Soudris
Publié dans: Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2025
Éditeur: ACM
DOI: 10.1145/3676536.3676840

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

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

Enabling Efficient Hardware Acceleration of Hybrid Vision Transformer (ViT) Networks at the Edge

Auteurs: Joren Dumoulin, Pouya Houshmand, Vikram Jain, Marian Verhelst
Publié dans: 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024
Éditeur: IEEE
DOI: 10.1109/ISCAS58744.2024.10558587

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

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

Correction Fault Attacks on Randomized CRYSTALS-Dilithium

Auteurs: Elisabeth Krahmer; Peter Pessl; Georg Land; Tim Güneysu
Publié dans: IACR Transactions on Cryptographic Hardware and Embedded Systems, 2024
Éditeur: Diamond Open Access
DOI: 10.46586/TCHES.V2024.I3.174-199

Gadget-based Masking of Streamlined NTRU Prime Decapsulation in Hardware

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

From Diet to Free Lunch: Estimating Auxiliary Signal Properties Using Dynamic Pruning Masks in Speech Enhancement Networks

Auteurs: Riccardo Miccini, Clément Laroche, Tobias Piechowiak, Xenofon Fafoutis, Luca Pezzarossa
Publié dans: ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026
Éditeur: IEEE
DOI: 10.1109/ICASSP55912.2026.11463996

Optimising GPGPU Execution Through Runtime Micro-Architecture Parameter Analysis

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

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

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

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

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

Time-Predictable Deep Noise Suppression on an Edge Device

Auteurs: Alessandro Cerioli, Tórur Biskopstø Strøm, Clément Laroche, Tobias Piechowiak, Luca Pezzarossa, Martin Schoeberl
Publié dans: 2025 28th International Symposium on Real-Time Distributed Computing (ISORC), 2025
Éditeur: IEEE
DOI: 10.1109/ISORC65339.2025.00062

An Open-Source HW-SW Co-Development Framework Enabling Efficient Multi-Accelerator Systems

Auteurs: Ryan Albert Antonio, Joren Dumoulin, Xiaoling Yi, Josse Van Delm, Yunhao Deng, Guilherme Paim, Marian Verhelst
Publié dans: 2025 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2025
Éditeur: IEEE
DOI: 10.1109/ISLPED65674.2025.11261784

Scalable Speech Enhancement With Dynamic Channel Pruning

Auteurs: Riccardo Miccini, Clément Laroche, Tobias Piechowiak, Luca Pezzarossa
Publié dans: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
Éditeur: IEEE
DOI: 10.1109/ICASSP49660.2025.10889876

The Configuration Wall: Characterization and Elimination of Accelerator Configuration Overhead

Auteurs: Josse Van Delm, Anton Lydike, Joren Dumoulin, Jonas Crols, Xiaoling Yi, Ryan Antonio, Jackson Woodruff, Tobias Grosser, Marian Verhelst
Publié dans: Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1, 2025
Éditeur: ACM
DOI: 10.1145/3760250.3762225

Performance Modeling & Mapping of LLM Inference on Heterogeneous Vectorized CGRAs

Auteurs: Dionysios Kefallinos, Georgios Alexandris, Alexis Maras, Panagiotis Chaidos, Manil Dev Gomony, Henk Corporaal, Dimitrios Soudris, and Sotirios Xydis
Publié dans: PARMA-DITAM 2026, 2026
Éditeur: Open Access Series in Informatics (OASIcs)
DOI: 10.4230/OASICS.PARMA-DITAM.2026.8

Efficient Streaming Speech Quality Prediction with Spiking Neural Networks

Auteurs: Mattias Nilsson, Riccardo Miccini, Julian Rossbroich, Clément Laroche, Tobias Piechowiak, Friedemann Zenke
Publié dans: Interspeech 2025, 2025
Éditeur: ISCA
DOI: 10.21437/INTERSPEECH.2025-2269

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

Auteurs: Mattias Nilsson, Riccardo Miccini, Clement Laroche, Tobias Piechowiak, Friedemann Zenke
Publié dans: Interspeech 2024, 2024
Éditeur: ISCA
DOI: 10.21437/Interspeech.2024-1979

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

Auteurs: Victor J.B. Jung, Arne Symons, Linyan Mei, Marian Verhelst, Luca Benini
Publié dans: 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2024, ISSN 2834-9857
Éditeur: IEEE
DOI: 10.1109/AICAS57966.2023.10168625

Decoding Finger Velocity from Cortical Spike Trains with Recurrent Spiking Neural Networks

Auteurs: Tengjun Liu, Julia Gygax, Julian Rossbroich, Yansong Chua, Shaomin Zhang, Friedemann Zenke
Publié dans: 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2024
Éditeur: IEEE
DOI: 10.1109/BIOCAS61083.2024.10798222

Fine-Grained Fusion: The Missing Piece in Area-Efficient State Space Model Acceleration

Auteurs: Robin Geens, Arne Symons, Marian Verhelst
Publié dans: 2025 34th International Conference on Parallel Architectures and Compilation Techniques (PACT), 2025
Éditeur: IEEE
DOI: 10.1109/PACT65351.2025.00034

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

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

Adaptive Slimming for Scalable and Efficient Speech Enhancement

Auteurs: Riccardo Miccini, Minje Kim, Clément Laroche, Luca Pezzarossa, Paris Smaragdis
Publié dans: 2025 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2025
Éditeur: IEEE
DOI: 10.1109/WASPAA66052.2025.11230950

Quantitative Fault Injection Analysis

Auteurs: Jakob Feldtkeller, Tim Güneysu, Patrick Schaumont
Publié dans: Advances in Cryptology – ASIACRYPT 2023, 2023, ISSN 0302-9743
Éditeur: Springer, Singapore
DOI: 10.1007/978-981-99-8730-6_10

Combined Private Circuits - Combined Security Refurbished

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

Dynamic nsNET2: Efficient Deep Noise Suppression with Early Exiting

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

Collaborative P4-SDN DDoS Detection and Mitigation with Early-Exit Neural Networks

Auteurs: Ouassim Karrakchou, Alaa Zniber, Anass Sebbar, Mounir Ghogho
Publié dans: GLOBECOM 2025 - 2025 IEEE Global Communications Conference, 2026
Éditeur: IEEE
DOI: 10.1109/GLOBECOM59602.2025.11431920

A Bespoke Design Approach to Low-Power Printed Microprocessors for Machine Learning Applications

Auteurs: Panagiotis Chaidos, Giorgos Armeniakos, Sotirios Xydis, Dimitrios Soudris
Publié dans: 2025 IEEE International Symposium on Circuits and Systems (ISCAS), 2025
Éditeur: IEEE
DOI: 10.1109/ISCAS56072.2025.11044307

XDMA: A Distributed, Extensible DMA Architecture for Layout-Flexible Data Movements in Heterogeneous Multi-Accelerator SoCs

Auteurs: Fanchen Kong, Yunhao Deng, Xiaoling Yi, Ryan Antonio, Marian Verhelst
Publié dans: 2025 IEEE 43rd International Conference on Computer Design (ICCD), 2025
Éditeur: IEEE
DOI: 10.1109/ICCD65941.2025.00104

Data-driven HLS optimization for reconfigurable accelerators

Auteurs: Aggelos Ferikoglou, Andreas Kakolyris, Vasilis Kypriotis, Dimosthenis Masouros, Dimitrios Soudris, Sotirios Xydis
Publié dans: Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
Éditeur: ACM
DOI: 10.1145/3649329.3658471

Alternate Path μ-op Cache Prefetching

Auteurs: Sawan Singh, Arthur Perais, Alexandra Jimborean, Alberto Ros
Publié dans: 2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA), 2024
Éditeur: IEEE
DOI: 10.1109/ISCA59077.2024.00092

HAETAE: Shorter Lattice-Based Fiat-Shamir Signatures

Auteurs: Jung Hee Cheon; Hyeongmin Choe; Julien Devevey; Tim Güneysu; Dongyeon Hong; Markus Krausz; Georg Land; Marc Möller; Damien Stehlé; MinJune Yi
Publié dans: IACR Transactions on Cryptographic Hardware and Embedded Systems, 2024
Éditeur: International Association for Cryptologic Research (IACR)
DOI: 10.46586/TCHES.V2024.I3.25-75

Flexible Hardware Accelerators for Ultra-Low Power Edge AI: The CONVOLVE Approach

Auteurs: Panagiotis Chaidos, Alexios Maras, Georgios Alexandris, null Xiaoling, Asmae El Arrassi, Bas Ahn, James D. Garside, Yunhao Deng, Theofilos Spyrou, Anteneh Gebregiorgis, Mottaqiallah Taouil, Manil Dev Gomony, Sotirios Xydis, Marian Verhelst, Said Hamdioui, Dimitrios Soudris, Henk Corporaal
Publié dans: 2025 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2025
Éditeur: IEEE
DOI: 10.1109/ISVLSI65124.2025.11130251

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

Auteurs: Steven Colleman; Arne Symons; Victor J. B. Jung; Marian Verhelst
Publié dans: 2024 25th International Symposium on Quality Electronic Design (ISQED), 2024, ISSN 1948-3295
Éditeur: IEEE
DOI: 10.48550/ARXIV.2406.09804

Falcon: A Scalable Analytical Cache Model

Auteurs: Arjun Pitchanathan, Kunwar Grover, Tobias Grosser
Publié dans: Proceedings of the ACM on Programming Languages, Numéro 8, 2024, ISSN 2475-1421
Éditeur: Association for Computing Machinery (ACM)
DOI: 10.1145/3656452

Efficient Precision-Scalable Hardware for Microscaling (MX) Processing in Robotics Learning

Auteurs: Cuyckens, Stef; Yi, Xiaoling; Satya Murthy, Nitish; Fang, Chao; Verhelst, Marian
Publié dans: 2025 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2025, ISSN 1558-111X
Éditeur: IEEE
DOI: 10.48550/ARXIV.2505.22404

EFLOP: A Sparsity-Aware Metric for Evaluating Computational Cost in Spiking and Non-Spiking Neural Networks

Auteurs: Simon Narduzzi, Friedemann Zenke, Shih-Chii Liu, Liza Andrea Dunbar
Publié dans: Neuromorphic Computing and Engineering, 2025, ISSN 2634-4386
Éditeur: IOP Publishing
DOI: 10.1088/2634-4386/ADDEE8

Toward Attention-Based TinyML: A Heterogeneous Accelerated Architecture and Automated Deployment Flow

Auteurs: Philip Wiese; Gamze Islamoglu; Moritz Scherer 0001; Luka Macan; Victor Jean-Baptiste Jung; Alessio Burrello; Francesco Conti 0001; Luca Benini
Publié dans: IEEE Design & Test, 2025, ISSN 2168-2364
Éditeur: IEEE
DOI: 10.48550/ARXIV.2408.02473

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

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

On-Sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design

Auteurs: Giorgos Armeniakos; Paula L. Duarte; Priyanjana Pal; Georgios Zervakis 0001; Mehdi B. Tahoori; Dimitrios Soudris
Publié dans: 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024, ISSN 1558-1101
Éditeur: IEEE
DOI: 10.48550/ARXIV.2312.01172

DREAM-CIM: A Digital SRAM-Based CIM Accelerator for Energy- and Area-Efficient Edge AI

Auteurs: Asmae El Arrassi, Lucas Huijbregts, Manil Dev Gomony, Anteneh Gebregiorgis, Francky Catthoor, Mottaqiallah Taouil, Rajiv Joshi, Said Hamdioui
Publié dans: IEEE Transactions on Circuits and Systems for Artificial Intelligence, Numéro 2, 2025, ISSN 2996-6647
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TCASAI.2025.3579709

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

Auteurs: 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
Publié dans: 2023 IEEE European Test Symposium (ETS), 2023, ISSN 1558-1780
Éditeur: IEEE
DOI: 10.1109/ETS56758.2023.10174180

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

Auteurs: Francesco Conti, Gianna Paulin, Angelo Garofalo, Davide Rossi, Alfio Di Mauro, Georg Rutishauser, Gianmarco Ottavi, Manuel Eggiman, Hayate Okuhara, Luca Benini
Publié dans: IEEE Journal of Solid-State Circuits, Numéro 59, 2025, ISSN 0018-9200
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JSSC.2023.3318301

MaRVIn: A Cross-Layer Mixed-Precision RISC-V Framework for DNN Inference, from ISA Extension to Hardware Acceleration

Auteurs: Giorgos Armeniakos, Alexis Maras, Sotirios Xydis, Dimitrios Soudris
Publié dans: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2025, ISSN 0278-0070
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TCAD.2025.3615505

Memristor-Based Lightweight Encryption

Auteurs: Siddiqi, Muhammad Ali; Galvan Hernández, Jan Andrés; Gebreziorgis, Anteneh; Bishnoi, Rajendra; Strydis, Christos; Hamdioui, Said; Taouil, Mottaqiallah
Publié dans: 2023 26th Euromicro Conference on Digital System Design (DSD), 2023, ISSN 2771-2508
Éditeur: IEEE
DOI: 10.48550/ARXIV.2404.00125

TransAxx: Efficient Transformers With Approximate Computing

Auteurs: Dimitrios Danopoulos; Georgios Zervakis; Dimitrios Soudris; Jörg Henkel
Publié dans: IEEE Transactions on Circuits and Systems for Artificial Intelligence, 2025, ISSN 2996-6647
Éditeur: IEEE
DOI: 10.48550/ARXIV.2402.07545

Accelerating TinyML Inference on Microcontrollers Through Approximate Kernels

Auteurs: Giorgos Armeniakos; Georgios Mentzos; Dimitrios Soudris
Publié dans: 2024 31st IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2024, ISSN 2995-0589
Éditeur: IEEE
DOI: 10.1109/ICECS61496.2024.10848979

Leveraging edge artificial intelligence for sustainable agriculture

Auteurs: El Jarroudi, Moussa; Kouadio, Amani Louis; Delfosse, Philippe; Bock, Clive H.; Mahlein, Anne-Katrin; Fettweis, Xavier; Mercatoris, Benoît; Adams, Frank; Lenné, Jillian M.; Hamdioui, Said
Publié dans: Nature Sustainability, 2024, ISSN 2398-9629
Éditeur: Nature Sustainability
DOI: 10.1038/S41893-024-01352-4

Hardware‐Centric Analysis of DeepSeek's Multi‐Head Latent Attention

Auteurs: Robin Geens, Marian Verhelst
Publié dans: Electronics Letters, Numéro 61, 2026, ISSN 0013-5194
Éditeur: Institution of Engineering and Technology (IET)
DOI: 10.1049/ELL2.70504

Stream: Design Space Exploration of Layer-Fused DNNs on Heterogeneous Dataflow Accelerators

Auteurs: Arne Symons; Linyan Mei; Steven Colleman; Pouya Houshmand; Sebastian Karl; Marian Verhelst
Publié dans: IEEE Transactions on Computers, 2025, ISSN 1557-9956
Éditeur: IEEE
DOI: 10.48550/ARXIV.2212.10612

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

Auteurs: Moritz Scherer, Luka Macan, Victor J. B. Jung, Philip Wiese, Luca Bompani, Alessio Burrello, Francesco Conti, Luca Benini
Publié dans: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Numéro 43, 2024, ISSN 0278-0070
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TCAD.2024.3443718

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

Auteurs: Sumit Diware, Koteswararao Chilakala, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi
Publié dans: IEEE Access, Numéro Volume 12, 2024, ISSN 2169-3536
Éditeur: IEEE
DOI: 10.1109/ACCESS.2024.3383014

First-Class Verification Dialects for MLIR

Auteurs: Mathieu Fehr, Yuyou Fan, Hugo Pompougnac, John Regehr, Tobias Grosser
Publié dans: Proceedings of the ACM on Programming Languages, Numéro 9, 2025, ISSN 2475-1421
Éditeur: Association for Computing Machinery (ACM)
DOI: 10.1145/3729309

AIMC Modeling and Parameter Tuning for Layer-Wise Optimal Operating Point in DNN Inference

Auteurs: Iman Dadras, Giuseppe M. Sarda, Nathan Laubeuf, Debjyoti Bhattacharjee, Arindam Mallik
Publié dans: IEEE Access, Numéro 11, 2023, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2023.3305432

Distributed Inference with Minimal Off-Chip Traffic for Transformers on Low-Power MCUs

Auteurs: Bochem, Severin; Jung, Victor J. B.; Prasad, Arpan Suravi; Conti, Francesco; Benini, Luca
Publié dans: 2025 Design, Automation & Test in Europe Conference (DATE), 2025, ISSN 1558-1101
Éditeur: IEEE
DOI: 10.48550/ARXIV.2412.04372

Certified Decision Procedures for Width-Independent Bitvector Predicates

Auteurs: Siddharth Bhat, Léo Stefanesco, Chris Hughes, Tobias Grosser
Publié dans: Proceedings of the ACM on Programming Languages, Numéro 9, 2025, ISSN 2475-1421
Éditeur: Association for Computing Machinery (ACM)
DOI: 10.1145/3763148

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

Auteurs: Alvanaki, Elisavet Lydia; Katsaragakis, Manolis; Masouros, Dimosthenis; Xydis, Sotirios; Soudris, Dimitrios
Publié dans: 2024 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE), 2024, ISSN 1558-1101
Éditeur: IEEE
DOI: 10.48550/ARXIV.2407.03711

MemPool: A Scalable Manycore Architecture With a Low-Latency Shared L1 Memory

Auteurs: Samuel Riedel; Matheus A. Cavalcante; Renzo Andri; Luca Benini
Publié dans: IEEE Transactions on Computers, 2023, ISSN 1557-9956
Éditeur: IEEE
DOI: 10.3929/ETHZ-B-000643341

Synthetic data generation techniques for training deep acoustic siren identification networks

Auteurs: Stefano Damiano; Benjamin Cramer;Andre Guntoro; Toon van Waterschoot
Publié dans: Frontiers in Signal Processing, Numéro Volume 4 - 2024, 2024, ISSN 2673-8198
Éditeur: Frontiers
DOI: 10.3389/frsip.2024.1358532

Interactive Bitvector Reasoning using Verified Bit-Blasting

Auteurs: Henrik Böving, Siddharth Bhat, Luisa Cicolini, Alex Keizer, Léon Frenot, Abdalrhman Mohamed, Léo Stefanesco, Harun Khan, Joshua Clune, Clark Barrett, Tobias Grosser
Publié dans: Proceedings of the ACM on Programming Languages, Numéro 9, 2025, ISSN 2475-1421
Éditeur: Association for Computing Machinery (ACM)
DOI: 10.1145/3763167

Stream: Design Space Exploration of Layer-Fused DNNs on Heterogeneous Dataflow Accelerators

Auteurs: Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst
Publié dans: IEEE Transactions on Computers, Numéro 74, 2025, ISSN 0018-9340
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TC.2024.3477938

Siracusa: A 16 nm Heterogenous RISC-V SoC for Extended Reality With At-MRAM Neural Engine

Auteurs: Arpan Suravi Prasad; Moritz Scherer 0001; Francesco Conti 0001; Davide Rossi 0001; Alfio Di Mauro; Manuel Eggimann; Jorge Tomás Gómez; Ziyun Li 0001; Syed Shakib Sarwar; Zhao Wang; Barbara De Salvo; Luca Benini
Publié dans: IEEE Journal of Solid-State Circuits, 2024, ISSN 1558-173X
Éditeur: IEEE
DOI: 10.48550/ARXIV.2312.14750

<i>FlexiGen</i> : An Automated AI Accelerator Generation Framework With Decoupled-Access-Execute and Dynamic Dataflows

Auteurs: Xiaoling Yi, Man Shi, Joren Dumoulin, Jiacong Sun, Yunhao Deng, Ryan Antonio, Fanchen Kong, Yu Zhang, Yuqi Jiang, Marian Verhelst
Publié dans: IEEE Transactions on Circuits and Systems I: Regular Papers, 2026, ISSN 1549-8328
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TCSI.2026.3669425

Dynamic Early Exiting Predictive Coding Neural Networks

Auteurs: Alaa Zniber, Ouassim Karrakchou, Mounir Ghogho
Publié dans: 2024
Éditeur: open source
DOI: 10.48550/arXiv.2309.02022

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