Publications

Bank on Compute-near-Memory: Design Space Exploration of Processing-near-Bank Architectures

R. Medina Morillas; G. Ansaloni; M. Zapater Sancho; J. Levisse; S. A. Chamazcoti et al. 

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2024. Vol. 43, num. 11, p. 4117 – 4129. DOI : 10.1109/TCAD.2024.3442989.

BiomedBench: A benchmark suite of TinyML biomedical applications for low-power wearables

D. Samakovlis; S. Albini; R. Rodríguez Álvarez; D-A. Constantinescu; P. D. Schiavone et al. 

IEEE Design & Test. 2024.  p. 1 – 1. DOI : 10.1109/MDAT.2024.3483034.

Energy Efficient Co-design for Radio Interferometry using Reconfigurable Accelerators

D-A. Constantinescu; H. Chouh; A. Devresse; M. Peon Quiros; E. J. Orliac et al. 

EcoCloud Annual Event on IT Sustainability 2024, Lausanne, Switzerland, 2024-10-08.

UrbanTwin: An urban digital twin for climate action

D-A. Constantinescu; V. Kartsch; Y. Nakatsuka; P. Wiese; P. Orbanovik et al. 

EcoCloud Annual Event on IT Sustainability 2024, Lausanne, Switzerland, 2024-10-08.

ACE: Automated optimization towards iterative Classification in Edge health monitors

Y. Wang; L. Orlandic; S. Machetti; G. Ansaloni; D. Atienza Alonso 

IEEE Transactions on Biomedical Circuits and Systems. 2024.  p. 1 – 11. DOI : 10.1109/TBCAS.2024.3468160.

An Evaluation Framework for Dynamic Thermal Management Strategies in 3D MultiProcessor System-on-Chip Co-Design

D. Huang; L. M. Costero Valero; D. Atienza Alonso 

IEEE Transactions on Parallel and Distributed Systems. 2024. 

Energy-Efficient FPGA Solutions for Large-Scale FFTs and Non-Uniform FFTs A Software-Hardware Co-Design Approach for Radio Interferometry

R. Rodríguez Álvarez; D-A. Constantinescu; M. Peon Quiros; A. Devresse; H. Chouh et al. 

Swiss SKA Days 2024, Campus Biotech Geneva, Switzerland, 2024-09-02 – 2024-09-04.

Scaling Sustainable Computing: Advanced ML Techniques for Enhancing the Efficiency in the SKA Regional Data Centers

D-A. Constantinescu; D. Huang; D. Atienza Alonso 

Swiss SKA Days 2024, Campus Biotech Geneva, Switzerland, 2024-09-02 – 2024-09-04.

Which Coupled is Best Coupled? An Exploration of AIMC Tile Interfaces and Load Balancing for CNNs

J. A. H. Klein; I. Boybat; G. Ansaloni; D. Atienza; Marina Zapater Sancho 

IEEE Transactions on Parallel and Distributed Systems. 2024.  p. 1 – 15. DOI : 10.1109/TPDS.2024.3437657.

Energy-Efficient Frequency Selection Method for Bio-Signal Acquisition in AI/ML Wearables

H. Taji; J. A. Miranda Calero; M. Peon Quiros; D. Atienza Alonso 

2024. ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED ’24), Newport Beach, CA, USA, August 5–7, 2024. DOI : 10.1145/3665314.3670815.

Neuro-Inspired Edge AI Architectures for Distributed Federated Learning

D-A. Constantinescu; D. Atienza Alonso 

EMERALD 1st Workshop on Distributed Computing with Emerging Hardware Technology, Nantes, France, 2024-06-21.

Validation of artificial intelligence for epileptic seizure detection: Moving from research into the clinic

J. Dan 

Developmental Medicine & Child Neurology. 2024. DOI : 10.1111/dmcn.16002.

Scaling Sustainable Computing New Methods for Enhancing Efficiency in the SKA Regional Data Centers

D-A. Constantinescu; D. Huang; D. Atienza Alonso 

SKACH Spring Meeting 2024, Winterthur, Switzerland, 2024-06-10 – 2024-06-11.

M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems

S. Baghersalimi; A. Amirshahi; F. Forooghifar; T. Teijeiro; AMIR AMINIFAR et al. 

ACM Transactions on Intelligent Systems and Technology. 2024. 

Acoustical Features as Knee Health Biomarkers: A Critical Analysis

C. Kechris; J. P. R. Thevenot; T. Teijeiro; V. Stadelmann; N. Maffiuletti et al. 

2024

DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD

P. Yu; F. Ponzina; A. S. J. Levisse; Biswas Dwaipayan; Ansaloni Giovanni et al. 

2024. 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Knoxville, Tennessee, USA, July 1-3, 2024. p. 204 – 209. DOI : 10.1109/ISVLSI61997.2024.00046.

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch

C. Kechris; J. Dan; J. A. Miranda Calero; D. Atienza Alonso 

2024

Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads

Q. Liu; D. Huang; L. M. Costero Valero; M. Zapater Sancho; D. Atienza Alonso 

ACM Transactions on Architecture and Code Optimization. 2024. DOI : 10.1145/3659207.

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

A. Shahbazinia; F. Ponzina; J. A. Miranda Calero; J. Dan; G. Ansaloni et al. 

2024. 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, USA, July 15-19, 2024.

SAT-based Exact Modulo Scheduling Mapping for Resource-Constrained CGRAs

C. Tirelli; J. Sapriza; R. Rodríguez Álvarez; L. Ferretti; B. W. Denkinger et al. 

ACM Journal on Emerging Technologies in Computing Systems. 2024. DOI : 10.48550/arXiv.2402.12834.

FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems

A. Amirshahi; J. Dan; J. A. Miranda Calero; A. Aminifar; D. Atienza Alonso 

2024. Conference on Health, Inference, and Learning, NewYork, US, June 27-28, 2024.

FEMU: An Open-Source RISC-V Emulation Platform for the Exploration of Accelerator-based Edge Applications

S. Machetti; M. Peón Quirós; D. Kasap; J. Sapriza; R. Rodríguez et al. 

Design, Automation and Test in Europe Conference (DATE), Valencia, Spain, 2024.

HEEPocrates: An Ultra-Low-Power RISC-V Microcontroller for Edge-Computing Healthcare Applications

S. Machetti; P. D. Schiavone; C. T. Müller; A. S. J. Levisse; M. Peon Quiros et al. 

2024

An Energy Efficient Soft SIMD Microarchitecture and Its Application on Quantized CNNs

P. Yu; F. Ponzina; A. S. J. Levisse; Gupta Mohit; Biswas Dwaipayan et al. 

IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 2024. DOI : 10.1109/TVLSI.2024.3375793.

Is the powersave governor really saving power?

D. Huang; L. M. Costero Valero; D. Atienza Alonso 

2024. The 24th IEEE/ACM International Symposium on Cluster, Cloud, and Internet Computing (CCGrid 2024), Philadelphia, Pennsylvania, USA, May 6-9, 2024.

CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds

D. Huang; L. M. Costero Valero; A. Pahlevan; M. Zapater Sancho; D. Atienza Alonso 

IEEE Transactions on Sustainable Computing. 2024. 

Accelerator-driven Data Arrangement to Minimize Transformers Run-time on Multi-core Architectures

A. Amirshahi; G. Ansaloni; D. Atienza Alonso 

2024. 15th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 13th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2024), Munich, Germany, January 18, 2024. DOI : 10.4230/OASIcs.PARMA-DITAM.2024.3.

Combining general and personal models for epilepsy detection with hyperdimensional computing

U. Pale; T. Teijeiro; S. Rheims; P. Ryvlin; D. Atienza 

Artificial Intelligence In Medicine. 2024. Vol. 148, p. 102754. DOI : 10.1016/j.artmed.2023.102754.

Ambulatory seizure detection

A. Bernini; J. Dan; P. Ryvlin 

Current Opinion in Neurology. 2024. Vol. 66, num. 2, p. 144 – 145. DOI : 10.1097/WCO.0000000000001248.

DC is all you need: describing ReLU from a signal processing standpoint

C. Kechris; J. Dan; J. A. Miranda Calero; D. Atienza Alonso 

2024

Distributed Machine Learning Targeting Embedded Systems for Epilepsy Detection

S. Baghersalimi / D. Atienza Alonso (Dir.)  

Lausanne, EPFL, 2024. 

Don’t Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs

C. Kechris; J. Dan; J. A. Miranda Calero; D. Atienza Alonso 

2024

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

J. A. H. Klein / D. Atienza Alonso; M. Zapater Sancho (Dir.)  

Lausanne, EPFL, 2024. 

EdgeAI-Aware Design of In-Memory Computing Architectures

M. A. Rios / D. Atienza Alonso (Dir.)  

Lausanne, EPFL, 2024. 

How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance

L. Orlandic; J. Dan; J. Thevenot; T. Teijeiro; A. Sauty et al. 

2024

SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms

J. Dan; U. Pale; A. Amirshahi; W. Cappelletti; T. M. Ingolfsson et al. 

2024

Dynamic Scheduling for Event-Driven Embedded Industrial Applications

H. Taji; J. A. Miranda Calero; M. Peon Quiros; S. Balási; D. Atienza Alonso 

2023. 31st IFIP/IEEE Conference on Very Large Scale Integration (VLSI-SoC 2023), Dubai, UAE, October 16-18, 2023. p. 271 – 276. DOI : 10.1109/VLSI-SoC57769.2023.10321845.

A 16-bit Floating-Point Near-SRAM Architecture for Low-power Sparse Matrix-Vector Multiplication

G. A. Eggermann; M. A. Rios; G. Ansaloni; D. Atienza Alonso 

2023. 31st IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), Dubai, UAE, October 16-18, 2023. p. 74 – 79. DOI : 10.1109/VLSI-SoC57769.2023.10321838.

REMOTE: Re-thinking Task Mapping on Wireless 2.5D Systems-on-Package for Hotspot Removal

R. Medina Morillas; D. Huang; G. Ansaloni; M. Zapater Sancho; D. Atienza Alonso 

2023. 31st IFIP/IEEE Conference on Very Large Scale Integration (VLSI-SoC 2023), Dubai, United Arab Emirates, October 16-18, 2023. DOI : 10.1109/VLSI-SoC57769.2023.10321912.

X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller for the Exploration of Ultra-Low-Power Edge Accelerators

S. Machetti; P. D. Schiavone; C. T. Müller; M. Peon Quiros; D. Atienza Alonso 

EcoCloud Event 2023, Lausanne, Switzerland, 2023.

Layer-Wise Learning Framework for Efficient DNN Deployment in Biomedical Wearable Systems

S. Baghersalimi; A. Amirshahi; T. Teijeiro; A. Aminifar; D. Atienza Alonso 

2023. IEEE-EMBS International Conference on Body Sensor Networks: Sensors and Systems for Digital Health (IEEE BSN) 2023, Cambridge, MA, US, October 9-11, 2023. DOI : 10.1109/BSN58485.2023.10331334.

Overflow-free Compute Memories for Edge AI Acceleration

F. Ponzina; M. A. Rios; A. S. J. Levisse; G. Ansaloni; D. Atienza 

Acm Transactions On Embedded Computing Systems. 2023. Vol. 22, num. 5. DOI : 10.1145/3609387.

Event-based sampled ECG morphology reconstruction through self-similarity

S. Zanoli; G. Ansaloni; T. Teijeiro; D. Atienza 

Computer Methods And Programs In Biomedicine. 2023. Vol. 240, p. 107712. DOI : 10.1016/j.cmpb.2023.107712.

Codesign Strategies for Energy-Efficient Exascale Computing for SKA Observatory

D-A. Constantinescu; B. W. Denkinger; M. Peon Quiros; J-P. Kneib; D. Atienza Alonso 

EcoCloud Annual Event on IT Sustainability 2023, Lausanne, Switzerland, 2023-09-22.

A Multimodal Dataset for Automatic Edge-AI Cough Detection

L. Orlandic; J. P. R. Thevenot; T. Teijeiro; D. Atienza Alonso 

2023. 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Sydney Australia, July 24-27, 2023. DOI : 10.1109/EMBC40787.2023.10340413.

Tradeoffs in Low-Power Accelerators Design for Large-Scale Interferometers

D-A. Constantinescu; B. W. Denkinger; M. Peon Quiros; D. Atienza Alonso 

The Platform for Advanced Scientific Computing (PASC) Conference, Davos, Switzerland, 26/06/2023.

Validating Full-System RISC-V Simulator: A Systematic Approach

K. Pathak; J. A. H. Klein; G. Ansaloni; M. Zapater Sancho; D. Atienza Alonso 

RISC-V Summit Europe 2023, Barcelona, Spain, 5-9 June, 2023.

X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller

P. D. Schiavone; S. Machetti; M. Peon Quiros; J. A. Miranda Calero; B. W. Denkinger et al. 

2023. 20th ACM International Conference on Computing Frontiers (CF), Bologna, Italy, May 9-11, 2023. p. 379 – 380. DOI : 10.1145/3587135.3591431.

An Open-Hardware Coarse-Grained Reconfigurable Array for Edge Computing

R. Rodríguez Álvarez; B. W. Denkinger; J. Sapriza; J. A. Miranda Calero; G. Ansaloni et al. 

2023. CF23-OSHW: Computing Frontiers Workshop on Open-Source Hardware, Bologna, Italy, May 9-11, 2023. DOI : 10.1145/3587135.3591437.

Dynamic power budget redistribution under a power cap on multi-application environments

L. Costero; F. D. Igual; K. Olcoz 

Sustainable Computing-Informatics & Systems. 2023. Vol. 38, p. 100865. DOI : 10.1016/j.suscom.2023.100865.

Acceleration of Control Intensive Applications on Coarse-Grained Reconfigurable Arrays for Embedded Systems

B. W. Denkinger; M. Peon Quiros; M. Konijnenburg; D. Atienza Alonso; F. Catthoor 

Transactions on Computers. 2023. Vol. 14, num. 8, p. 1 – 13. DOI : 10.1109/TC.2023.3257504.

TiC-SAT: Tightly-coupled Systolic Accelerator for Transformers

A. Amirshahi; J. A. H. Klein; G. Ansaloni; D. Atienza Alonso 

2023. ASP-DAC 2023, Tokyo, Japan, January 16-19, 2023. DOI : 10.1145/3566097.3567867.

Psychosomatic response to acute emotional stress in healthy students

E. Garcia Pages; A. Arza; J. Lazaro; C. Puig; T. Castro et al. 

Frontiers In Physiology. 2023. Vol. 13, p. 960118. DOI : 10.3389/fphys.2022.960118.

EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems

B. Huang; R. Zanetti; A. Abtahi; D. Atienza; A. Aminifar 

2023. IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS 2023), Hangzhou, China, June 11-13, 2023. DOI : 10.1109/AICAS57966.2023.10168560.

Enhancing reproducibility of machine learning‐based studies in clinical journals through model cards

J. Dan; N. Seeuws 

Developmental Medicine & Child Neurology. 2023. DOI : 10.1111/dmcn.15785.

Personalised and Adjustable Interval Type-2 Fuzzy-Based PPG Quality Assessment for the Edge

J. A. Miranda; C. Lopez-Ongil; J. Andreu-Perez 

2023. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Incheon, SOUTH KOREA, AUG 13-17, 2023. DOI : 10.1109/FUZZ52849.2023.10309733.

An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors

S. Zanoli; F. Ponzina; T. Teijeiro; A. S. J. Levisse; D. Atienza Alonso 

IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 2023. Vol. 13, num. 2, p. 489 – 501. DOI : 10.1109/JETCAS.2023.3269623.

Motor-Unit Ordering of Blindly-Separated Surface-EMG Signals for Gesture Recognition

M. Orlandi; M. Zanghieri; D. Schiavone; E. Donati; F. Conti et al. 

2023. 6th International Conference on System-Integrated Intelligence (SysInt), Genova, ITALY, Sep 07-09, 2022. p. 518 – 529. DOI : 10.1007/978-3-031-16281-7_49.

Overflow-free compute memories for edge AI acceleration

F. Ponzina; M. A. Rios; A. S. J. Levisse; G. Ansaloni; D. Atienza Alonso 

2023. International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS 2023), Hamburg, Germany, September 17-22, 2023. DOI : 10.1145/3607888.3609284.

Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference

M. Rios; F. Ponzina; A. S. J. Levisse; G. Ansaloni; D. Atienza Alonso 

IEEE Transactions on Emerging Topics in Computing. 2023. Vol. 11, num. 2, p. 358 – 372. DOI : 10.1109/TETC.2023.3237914.

Cross Layer Design for the Predictive Assessment of Technology-Enabled Architectures

M. Niemier; X. S. Hu; L. Liu; M. Sharifi; I. O’Connor et al. 

2023. Design, Automation and Test in Europe Conference and Exhibition (DATE), Antwerp, BELGIUM, Apr 17-19, 2023. DOI : 10.23919/DATE56975.2023.10136923.

Exploring brain-inspired multi-core heterogeneous hardware templates for low-power biomedical embedded systems

B. W. Denkinger / D. Atienza Alonso (Dir.)  

Lausanne, EPFL, 2023. 

Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems

S. Baghersalimi; T. Teijeiro; A. Aminifar; D. Atienza Alonso 

IEEE Transactions on Mobile Computing. 2023. DOI : 10.1109/TMC.2023.3320862.

Point-process-based Representation Learning for Electronic Health Records

H. Karami; A. Ionescu; D. Atienza 

2023. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Pittsburgh, PA, OCT 15-18, 2023. DOI : 10.1109/BHI58575.2023.10313499.

A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification

L. Orlandic; T. Teijeiro; D. Atienza 

Computer Methods and Programs in Biomedicine. 2023. Vol. 241, p. 107743. DOI : 10.1016/j.cmpb.2023.107743.

Metamodel for Safety Risk Management of Medical Devices Based on ISO 14971

N. Yakymets; M. A. Ionescu; D. Atienza Alonso 

2023. The ACM/IEEE 26th International Conference on Model-Driven Engineering Languages and Systems, Västerås, Sweden, October 1-6, 2023.

System-Level Exploration of In-Package Wireless Communication for Multi-Chiplet Platforms

R. Medina Morillas; J. A. H. Klein; G. Ansaloni; M. Zapater Sancho; S. Abadal et al. 

2023. 28th Asia and South Pacific Design Automation Conference (ASPDAC ’23), Tokyo, Japan, January 16-19, 2023. DOI : 10.1145/3566097.3567952.

Real-time Personalized Monitoring of Neurological Disorders on Wearable Systems

R. Zanetti / D. Atienza Alonso (Dir.)  

Lausanne, EPFL, 2023. 

Importance of methodological choices in data manipulation for validating epileptic seizure detection models

U. Pale; T. Teijeiro; D. Atienza Alonso 

2023. 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sydney, Australia, July 24-27, 2023. DOI : 10.1109/EMBC40787.2023.10340493.

Model-Based ISO 14971 Risk Management of EEG-Based Medical Devices

N. Yakymets; R. Zanetti; M. A. Ionescu; D. Atienza Alonso 

2023. 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Sydney Australia, July 24-27, 2023. DOI : 10.1109/EMBC40787.2023.10340131.

Hardware-Software co-design Methodologies for Edge AI Optimization

F. Ponzina / D. Atienza Alonso (Dir.)  

Lausanne, EPFL, 2023. 

A Multimodal Dataset for Automatic Edge-AI Cough Detection

L. Orlandic; J. P. R. Thevenot; T. Teijeiro; D. Atienza Alonso 

2023.

Hyperdimensional computing for biosignal monitoring: Applications for epilepsy detection

U. Pale / D. Atienza Alonso (Dir.)  

Lausanne, EPFL, 2023. 

Object-oriented modelling of advanced computer cooling solutions

A. Leva; F. Terraneo; T. Cancelliere; M. Chioggi; W. Fornaciari et al. 

2023. 22nd World Congress of the International Federation of Automatic Control (IFAC), Yokohama, JAPAN, JUL 09-14, 2023. p. 6441 – 6446. DOI : 10.1016/j.ifacol.2023.10.856.

Predicting Survey Response with Quotation-based Modeling: A Case Study on Favorability towards the United States

A. Amirshahi; N. Kirsch; J. Reymond; S. Baghersalimi 

2023. 10th IEEE Swiss Conference on Data Science (SDS), Zurich, SWITZERLAND, Jun 22-23, 2023. p. 1 – 8. DOI : 10.1109/SDS57534.2023.00008.

ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning

J. A. H. Klein; I. Boybat; Y. M. Qureshi; M. Dazzi; A. S. J. Levisse et al. 

IEEE Transactions on Computers (TC). 2022. DOI : 10.1109/TC.2022.3230285.

ExG Signal Feature Selection Using Hyperdimensional Computing Encoding

U. Pale; T. Teijeiro; D. Atienza 

2022. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, USA, 06-08 December 2022. p. 1688 – 1693. DOI : 10.1109/BIBM55620.2022.9995107.

Approximate Zero-Crossing: A new interpretable, highly discriminative and low-complexity feature for EEG and iEEG seizure detection

R. Zanetti; U. Pale; T. Teijeiro; D. Atienza Alonso 

Journal of Neural Engineering. 2022. DOI : 10.1088/1741-2552/aca1e4.

M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities

A. Amirshahi; A. Thomas; A. Aminifar; T. Rosing; D. Atienza Alonso 

IEEE Journal of Biomedical and Health Informatics (JBHI). 2022. DOI : 10.1109/jbhi.2022.3208780.

Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise

E. De Giovanni; T. Teijeiro; G. P. Millet; D. Atienza Alonso 

IEEE Transactions on Biomedical Engineering. 2022.  p. 1 – 12. DOI : 10.1109/TBME.2022.3205304.

Using Algorithmic Transformations and Sensitivity Analysis to Unleash Approximations in CNNs at the Edge

F. Ponzina; G. Ansaloni; M. Peon Quiros; D. Atienza Alonso 

MDPI Micromachines – Special Issue “Hardware-Friendly Machine Learning and Its Applications”. 2022. Vol. 13, num. 7. DOI : 10.3390/mi13071143.

Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions with Drones

F. Dell’Agnola; P-K. Jao; A. Arza; R. Chavarriaga; J. d. R. Millan et al. 

IEEE Journal of Biomedical and Health Informatics. 2022.  p. 1 – 12. DOI : 10.1109/JBHI.2022.3186625.

HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration

W. A. Simon; U. Pale; T. Teijeiro; D. Atienza 

2022. ICCAD 2022 – 41st IEEE/ACM International Conference on Computer-Aided Design, San Diego, USA, 30 October 2022- 3 November 2022. p. 1 – 8. DOI : 10.1145/3508352.3549475.

Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge

M. A. Rios; F. Ponzina; G. Ansaloni; A. S. J. Levisse; D. Atienza Alonso 

2022. Great Lakes Symposium on VLSI 2022 (GLSVLSI ’22), Irvine, California, USA, June 6-8, 2022. DOI : 10.1145/3526241.3530351.

A Formal Framework for Maximum Error Estimation in Approximate Logic Synthesis

I. Scarabottolo; G. Ansaloni; G. A. Constantinides; L. Pozzi 

Ieee Transactions On Computer-Aided Design Of Integrated Circuits And Systems. 2022. Vol. 41, num. 4, p. 840 – 853. DOI : 10.1109/TCAD.2021.3075651.

Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection

U. Pale; T. Teijeiro; D. Atienza 

Frontiers in Neurology. 2022. Vol. 13, p. 1 – 13, 816294. DOI : 10.3389/fneur.2022.816294.

Performance of the new SmartCardia wireless, wearable oximeter: a comparison with arterial SaO2 in healthy volunteers

F. Rincon; J. Pidoux; S. Murali; J-J. Goy 

Bmc Anesthesiology. 2022. Vol. 22, num. 1, p. 77. DOI : 10.1186/s12871-022-01604-w.

INCLASS: Incremental Classification Strategy for Self-Aware Epileptic Seizure Detection

L. Ferretti; G. Ansaloni; R. Marquis; T. Teijeiro; P. Ryvlin et al. 

2022. Design Automation and Test in Europe Conference (DATE2022), Grenoble, France, March 16-23, 2022. p. 1449 – 1454. DOI : 10.23919/DATE54114.2022.9774713.

Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers

D. Huang; A. Pahlevan; L. Costero; M. Zapater Sancho; D. Atienza Alonso 

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2022. DOI : 10.1109/TCAD.2022.3158832.

Personalized seizure signature: An interpretable approach to false alarm reduction for long‐term epileptic seizure detection

D. Sopic; T. Teijeiro; D. Atienza; A. Aminifar; P. Ryvlin 

Epilepsia. 2022. Vol. [Early access], p. 1 – 11. DOI : 10.1111/epi.17176.

Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load

G. Elbanna; A. Biryukov; N. Scheidwasser-Clow; L. Orlandic; P. Mainar et al. 

2022. Interspeech Conference, Incheon, SOUTH KOREA, Sep 18-22, 2022. p. 386 – 390. DOI : 10.21437/Interspeech.2022-10498.

Self-Aware Machine Learning for Chronic Pathology Monitoring on Wearable Devices

F. Forooghifar / D. Atienza Alonso (Dir.)  

Lausanne, EPFL, 2022. 

A hardware/software co-design vision for deep learning at the edge

F. Ponzina; S. Machetti; M. A. Rios; B. W. Denkinger; A. S. J. Levisse et al. 

IEEE Micro. 2022. Vol. 42, num. 6, p. 48 – 54. DOI : 10.1109/MM.2022.3195617.

VWR2A: A Very-Wide-Register Reconfigurable-Array Architecture for Low-Power Embedded Devices

B. W. Denkinger; M. Peon Quiros; M. Konijnenburg; D. Atienza Alonso; F. Catthoor 

2022. 59th ACM/IEEE Design Automation Conference (DAC) – From Chips to Systems – Learn Today, Create Tomorrow,, San Francisco, California, USA, June 10-14, 2022. p. 895 – 900. DOI : 10.1145/3489517.3530980.

Thermal and Voltage-Aware Performance Management of 3D MPSoCs with Flow Cell Arrays and Integrated SC Converters

H. Najibi; A. S. J. Levisse; G. Ansaloni; M. Zapater Sancho; M. Vasic et al. 

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD). 2022. Vol. 1, p. 2 – 15. DOI : 10.1109/TCAD.2022.3168257.

Thermal and Power-Aware Run-Time Performance Management of 3D MPSoCs with Integrated Flow Cell Arrays

H. Najibi; A. S. J. Levisse; G. Ansaloni; M. Zapater Sancho; D. Atienza Alonso 

2022. 32nd Great Lakes Symposium on VLSI (GLSVLSI 2022), Irvine, California, USA, June 6-8, 2022. DOI : 10.1145/3526241.3530309.

An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs

F. Ponzina; M. Peon Quiros; G. Ansaloni; D. Atienza Alonso 

2022. IEEE International Conference on Omni-Layer Intelligent Systems (COINS), Barcelona, Spain, August 1-3, 2022. DOI : 10.1109/COINS54846.2022.9854986.

Full System Exploration of On-Chip Wireless Communication on Many-Core Architectures

R. Medina Morillas; J. A. H. Klein; Y. M. Qureshi; M. Zapater Sancho; G. Ansaloni et al. 

2022. 2022 IEEE 13th Latin America Symposium on Circuits and System (LASCAS), Santiago de Chile, Chile, March 1-4, 2022. p. 1 – 4. DOI : 10.1109/LASCAS53948.2022.9893905.

CAFS: Cost-Aware Features Selection Method for Multimodal Stress Monitoring on Wearable Devices

N. Momeni; A. Arza Valdes; J. Rodrigues; C. Sandi; D. Atienza Alonso 

IEEE Transactions on Biomedical Engineering. 2022. Vol. 69, num. 3, p. 1072 – 1084. DOI : 10.1109/TBME.2021.3113593.

Real-Time EEG-Based Cognitive Workload Monitoring on Wearable Devices

R. Zanetti; A. Arza Valdes; A. Aminifar; D. Atienza Alonso 

IEEE Transactions on Biomedical Engineering. 2022. Vol. 69, num. 1, p. 265 – 277. DOI : 10.1109/TBME.2021.3092206.