Publications
This is the list of publications that have been published in the Research pages of the ESL website:
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| ML-enabled IoT devices and embedded AI |
| Validation of artificial intelligence for epileptic seizure detection: Moving from research into the clinic | ||||
| Dan, Jonathan | ||||
| 2024-06-19 | Developmental Medicine & Child Neurology |  | ||
| Related Projects: | Epilepsy Monitoring | |||
| M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems | ||||
| Baghersalimi, Saleh; Amirshahi, Alireza; Forooghifar, Farnaz; Teijeiro, Tomas; AMIR AMINIFAR; Atienza Alonso, David | ||||
| 2024-05-29 | ACM Transactions on Intelligent Systems and Technology |  | ||
| Related Projects: | Epilepsy Monitoring | |||
| UrbanTwin |
| Acoustical Features as Knee Health Biomarkers: A Critical Analysis | ||||
| Kechris, Christodoulos; Thevenot, Jérôme Paul Rémy; Teijeiro, Tomas; Stadelmann, Vincent; Maffiuletti, Nicola; Atienza Alonso, David | ||||
| 2024-05-23 | Conference Paper | |||
| Related Projects: | Inmodi knee brace | |||
| DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD | ||||
| Yu, Pengbo; Ponzina, Flavio; Levisse, Alexandre Sébastien Julien; Biswas Dwaipayan; Ansaloni Giovanni; Atienza David; Catthoor Francky | ||||
| 2024-05-07 | 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) |   | ||
| Related Projects: | Software-defined SIMD | |||
| KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch | ||||
| Kechris, Christodoulos; Dan, Jonathan; Miranda Calero, José Angel; Atienza Alonso, David | ||||
| 2024-05-02 | Conference Paper |  | ||
| Related Projects: | DIGIPREDICT: multi-biosignals processing for cardiovascular conditions | |||
| KID-PPG |
| Resource-Efficient Continual Learning for Personalized Online Seizure Detection | ||||
| Shahbazinia, Amirhossein; Ponzina, Flavio; Miranda Calero, José Angel; Dan, Jonathan; Ansaloni, Giovanni; Atienza Alonso, David | ||||
| 2024-04-15 | Conference Paper | | ||
| Related Projects: | Efficient federated learning | |||
| Epilepsy Monitoring |
| SAT-based Exact Modulo Scheduling Mapping for Resource-Constrained CGRAs | ||||
| Tirelli, Cristian; Sapriza, Juan; Rodríguez Álvarez, Rubén; Ferretti, Lorenzo; Denkinger, Benoît Walter; Ansaloni, Giovanni; Miranda Calero, José Angel; Atienza Alonso, David; Pozzi, Laura | ||||
| 2024-04-08 | ACM Journal on Emerging Technologies in Computing Systems |  | ||
| Related Projects: | Coarse-Grained Reconfigurable Arrays | |||
| UrbanTwin |
| FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems | ||||
| Amirshahi, Alireza; Dan, Jonathan; Miranda Calero, José Angel; Aminifar, Amir; Atienza Alonso, David | ||||
| 2024-04-04 | Conference Paper | | ||
| Related Projects: | Epilepsy Monitoring | |||
| An Energy Efficient Soft SIMD Microarchitecture and Its Application on Quantized CNNs | ||||
| Yu, Pengbo; Ponzina, Flavio; Levisse, Alexandre Sébastien Julien; Gupta Mohit ; Biswas Dwaipayan ; Ansaloni, Giovanni; Atienza Alonso, David; Catthoor Francky | ||||
| 2024-03-05 | IEEE Transactions on Very Large Scale Integration Systems | | ||
| Related Projects: | Software-defined SIMD | |||
| Is the powersave governor really saving power? | ||||
| Huang, Darong; Costero Valero, Luis Maria; Atienza Alonso, David | ||||
| 2024-02-12 | Conference Paper |  | ||
| Related Projects: | Multi-objective management and optimization of servers and data centers | |||
| CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds | ||||
| Huang, Darong; Costero Valero, Luis Maria; Pahlevan, Ali; Zapater Sancho, Marina; Atienza Alonso, David | ||||
| 2024-01-23 | IEEE Transactions on Sustainable Computing |  | ||
| Related Projects: | Multi-objective management and optimization of servers and data centers | |||
| Accelerator-driven Data Arrangement to Minimize Transformers Run-time on Multi-core Architectures | ||||
| Amirshahi, Alireza; Ansaloni, Giovanni; Atienza Alonso, David | ||||
| 2024-01-18 | Conference Paper | | ||
| Related Projects: | Systolic Array Accelerators for Transformers | |||
| SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms | ||||
| Dan, Jonathan; Pale, Una; Amirshahi, Alireza; Cappelletti, William; Ingolfsson, Thorir Mar; Wang, Xiaying; Cossettini, Andrea; Bernini, Adriano; Benini, Luca; Beniczky, Sándor; Atienza, David; Ryvlin, Philippe | ||||
| 2024 | Conference Paper | | ||
| Related Projects: | Epilepsy Monitoring | |||
| Dynamic Scheduling for Event-Driven Embedded Industrial Applications | ||||
| Taji, Hossein; Miranda Calero, José Angel; Peon Quiros, Miguel; Balási, Szabolcs; Atienza Alonso, David | ||||
| 2023-10-18 | Conference Paper | |||
| Related Projects: | ML-enabled IoT devices and embedded AI | |||
| REMOTE: Re-thinking Task Mapping on Wireless 2.5D Systems-on-Package for Hotspot Removal | ||||
| Medina Morillas, Rafael; Huang, Darong; Ansaloni, Giovanni; Zapater Sancho, Marina; Atienza Alonso, David | ||||
| 2023-10-18 | Conference Paper |  | ||
| Related Projects: | WiPLASH: In-package Wireless Links | |||
| 3D-ICE: 3D Interlayer Cooling Emulator |
| A 16-bit Floating-Point Near-SRAM Architecture for Low-power Sparse Matrix-Vector Multiplication | ||||
| Eggermann, Grégoire Axel; Rios, Marco Antonio; Ansaloni, Giovanni; Atienza Alonso, David | ||||
| 2023-10-18 | Conference Paper | | ||
| Related Projects: | Near Memory Computing | |||
| X-HEEP Poster - EcoCloud Event 2023 | ||||
| Machetti, Simone; Schiavone, Pasquale Davide; Müller, Christoph Thomas; Peon Quiros, Miguel; Atienza Alonso, David | ||||
| 2023-10-10 | Conference Paper |  | ||
| Related Projects: | X-HEEP: an open-hardware RISC-V system-on-chip | |||
| Layer-Wise Learning Framework for Efficient DNN Deployment in Biomedical Wearable Systems | ||||
| Baghersalimi, Saleh; Amirshahi, Alireza; Teijeiro, Tomas; Aminifar, Amir; Atienza Alonso, David | ||||
| 2023-10-09 | [Proceedings of IEEE BSN 2023] | | ||
| Related Projects: | Epilepsy Monitoring | |||
| Codesign Strategies for Energy-Efficient Exascale Computing for SKA Observatory | ||||
| Constantinescu, Denisa-Andreea; Denkinger, Benoît Walter; Peon Quiros, Miguel; Kneib, Jean-Paul; Atienza Alonso, David | ||||
| 2023-09-22 | Conference Paper | |||
| Related Projects: | Sustainable computing for SKAO | |||
| A Multimodal Dataset for Automatic Edge-AI Cough Detection | ||||
| Orlandic, Lara; Thevenot, Jérôme Paul Rémy; Teijeiro, Tomas; Atienza Alonso, David | ||||
| 2023-07-24 | Conference Paper |  | ||
| Related Projects: | The COUGHVID crowdsourcing dataset | |||
| Tradeoffs in Low-Power Accelerators Design for Large-Scale Interferometers | ||||
| Constantinescu, Denisa-Andreea; Denkinger, Benoît Walter; Peon Quiros, Miguel; Atienza Alonso, David | ||||
| 2023-06-28 | Conference Paper | |||
| Related Projects: | Sustainable computing for SKAO | |||
| Validating Full-System RISC-V Simulator: A Systematic Approach | ||||
| Karan Pathak | ||||
| 2023-06-05 | Conference Paper | | ||
| Related Projects: | gXR5: A gem5-based full-system RISC-V simulator | |||
| An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors | ||||
| Zanoli, Silvio; Ponzina, Flavio; Teijeiro, Tomas; Levisse, Alexandre Sébastien Julien; Atienza Alonso, David | ||||
| 2023-05-11 | IEEE Journal on Emerging and Selected Topics in Circuits and Systems |  | ||
| Related Projects: | Sparse sampling of bio-signals | |||
| An Open-Hardware Coarse-Grained Reconfigurable Array for Edge Computing | ||||
| Rodríguez Álvarez, Rubén; Denkinger, Benoît Walter; Sapriza, Juan; Miranda Calero, José Angel; Ansaloni, Giovanni; Atienza Alonso, David | ||||
| 2023-04-25 | Conference Paper | | ||
| Related Projects: | Health and wellness monitoring | |||
| X-HEEP: an open-hardware RISC-V system-on-chip |
| Coarse-Grained Reconfigurable Arrays |
| Acceleration of Control Intensive Applications on Coarse-Grained Reconfigurable Arrays for Embedded Systems | ||||
| Denkinger, Benoît Walter; Peon Quiros, Miguel; Konijnenburg, Mario; Atienza Alonso, David; Catthoor, Francky | ||||
| 2023-03-17 | Transactions on Computers |  | ||
| Related Projects: | Health and wellness monitoring | |||
| Coarse-Grained Reconfigurable Arrays |
| TiC-SAT: Tightly-coupled Systolic Accelerator for Transformers | ||||
| Amirshahi, Alireza; Klein, Joshua Alexander Harrison; Ansaloni, Giovanni; Atienza Alonso, David | ||||
| 2023-01-16 | Conference Paper | | ||
| Related Projects: | ML-enabled IoT devices and embedded AI | |||
| Systolic Array Accelerators for Transformers |
| HEEPocrates, a tsmc65 implementation of X-HEEP |
| System-Level Exploration of In-Package Wireless Communication for Multi-Chiplet Platforms | ||||
| Medina Morillas, Rafael; Klein, Joshua Alexander Harrison; Ansaloni, Giovanni; Zapater Sancho, Marina; Abadal, Sergi; Alarcón, Eduard; Atienza Alonso, David | ||||
| 2023 | Conference Paper | | ||
| Related Projects: | Heterogeneous architectures for HPC applications | |||
| WiPLASH: In-package Wireless Links |
| EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems | ||||
| Huang, Baichuan; Zanetti, Renato; Abtahi, Arza; Atienza, David; Aminifar, Amir | ||||
| 2023 | Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2023) | | ||
| Related Projects: | Epilepsy Monitoring | |||
| X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller | ||||
| Schiavone, Pasquale Davide; Machetti, Simone; Peon Quiros, Miguel; Miranda Calero, José Angel; Denkinger, Benoît Walter; Müller, Christoph Thomas; Rodríguez Álvarez, Rubén; Nasturzio, Saverio; Atienza Alonso, David | ||||
| 2023 | Conference Paper | | ||
| Related Projects: | X-HEEP: an open-hardware RISC-V system-on-chip | |||
| Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference | ||||
| Rios, Marco; Ponzina, Flavio; Levisse, Alexandre Sébastien Julien; Ansaloni, Giovanni; Atienza Alonso, David | ||||
| 2023 | IEEE Transactions on Emerging Topics in Computing | | ||
| Related Projects: | Neural Network Quantization and Pruning | |||
| Model-Based ISO 14971 Risk Management of EEG-Based Medical Devices | ||||
| Yakymets, Nataliya; Zanetti, Renato; Ionescu, Mihai Adrian; Atienza Alonso, David | ||||
| 2023 | Conference Paper | | ||
| Related Projects: | DIGIPREDICT: multi-biosignals processing for cardiovascular conditions | |||
| Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference | ||||
| Rios, Marco; Ponzina, Flavio; Levisse, Alexandre Sébastien Julien; Ansaloni, Giovanni; Atienza Alonso, David | ||||
| 2023 | IEEE Transactions on Emerging Topics in Computing | | ||
| Related Projects: | in-SRAM computing | |||
| Metamodel for Safety Risk Management of Medical Devices Based on ISO 14971 | ||||
| Yakymets, Nataliya; Ionescu, Mihai Adrian; Atienza Alonso, David | ||||
| 2023 | Conference Paper | | ||
| Related Projects: | DIGIPREDICT: multi-biosignals processing for cardiovascular conditions | |||
| Importance of methodological choices in data manipulation for validating epileptic seizure detection models | ||||
| Pale, Una; Teijeiro, Tomas; Atienza Alonso, David | ||||
| 2023 | Conference Paper | | ||
| Related Projects: | Sparse sampling of bio-signals | |||
| A Multimodal Dataset for Automatic Edge-AI Cough Detection | ||||
| Orlandic, Lara; Thevenot, Jérôme Paul Rémy; Teijeiro, Tomas; Atienza Alonso, David | ||||
| 2023 | Conference Paper | | ||
| Related Projects: | The COUGHVID crowdsourcing dataset | |||
| Overflow-free compute memories for edge AI acceleration | ||||
| Ponzina, Flavio; Rios, Marco Antonio; Levisse, Alexandre Sébastien Julien; Ansaloni, Giovanni; Atienza Alonso, David | ||||
| 2023 | ACM Transactions on Embedded Computing Systems (TECS) | | ||
| Related Projects: | Neural Network Quantization and Pruning | |||
| in-SRAM computing |
| Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems | ||||
| Baghersalimi, Saleh; Teijeiro, Tomas; Aminifar, Amir; Atienza Alonso, David | ||||
| 2023 | IEEE Transactions on Mobile Computing | | ||
| Related Projects: | Epilepsy Monitoring | |||
| UrbanTwin |
| ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning | ||||
| Klein, Joshua Alexander Harrison; Boybat, Irem; Qureshi, Yasir Mahmood; Dazzi, Martino; Levisse, Alexandre Sébastien Julien; Ansaloni, Giovanni; Zapater Sancho, Marina; Sebastian, Abu; Atienza Alonso, David | ||||
| 2022-12-09 | IEEE Transactions on Computers (TC) | | ||
| Related Projects: | Analog in Memory Cores | |||
| ExG Signal Feature Selection Using Hyperdimensional Computing Encoding | ||||
| Pale, Una; Teijeiro, Tomas; Atienza, David | ||||
| 2022-12-08 | 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) | | ||
| Related Projects: | Health and wellness monitoring | |||
| Approximate Zero-Crossing: A new interpretable, highly discriminative and low-complexity feature for EEG and iEEG seizure detection | ||||
| Zanetti, R; Pale, U; Teijeiro, T; Atienza Alonso, David | ||||
| 2022-11-10 | Journal of Neural Engineering | | ||
| Related Projects: | Epilepsy Monitoring | |||
| Health and wellness monitoring |
| M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities | ||||
| Amirshahi, Alireza; Thomas, Anthony; Aminifar, Amir; Rosing, Tajana; Atienza Alonso, David | ||||
| 2022-09-22 | IEEE Journal of Biomedical and Health Informatics (JBHI) | | ||
| Related Projects: | Epilepsy Monitoring | |||
| Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise | ||||
| De Giovanni, Elisabetta; Teijeiro, Tomas; Millet, Gregoire P.; Atienza Alonso, David | ||||
| 2022-09-09 | IEEE Transactions on Biomedical Engineering |  | ||
| Related Projects: | Sparse sampling of bio-signals | |||
| Using Algorithmic Transformations and Sensitivity Analysis to Unleash Approximations in CNNs at the Edge | ||||
| Ponzina, Flavio; Ansaloni, Giovanni; Peon Quiros, Miguel; Atienza Alonso, David | ||||
| 2022-07-19 | MDPI Micromachines - Special Issue "Hardware-Friendly Machine Learning and Its Applications" | | ||
| Related Projects: | ML-enabled IoT devices and embedded AI | |||
| Novel in-memory computing accelerators for Machine Learning (ML) on the edge |
| E2CNN: ensembles of CNN |
| HEEPocrates, a tsmc65 implementation of X-HEEP |
| Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions with Drones | ||||
| Dell'Agnola, Fabio; Jao, Ping-Keng; Arza, Adriana; Chavarriaga, Ricardo; R. Millan, Jose del; Floreano, Dario; Atienza, David | ||||
| 2022-06-29 | IEEE Journal of Biomedical and Health Informatics | |||
| Related Projects: | ML-enabled IoT devices and embedded AI | |||
| HEEPocrates, a tsmc65 implementation of X-HEEP |
| HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration | ||||
| Simon, William Andrew; Pale, Una; Teijeiro, Tomas; Atienza, David | ||||
| 2022-06-09 | Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design | | ||
| Related Projects: | HDTorch: HyperDimensional computing library | |||
| Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge | ||||
| Rios, Marco Antonio; Ponzina, Flavio; Ansaloni, Giovanni; Levisse, Alexandre Sébastien Julien; Atienza Alonso, David | ||||
| 2022-06-07 | Proceedings of the Great Lakes Symposium on VLSI 2022 | | ||
| Related Projects: | Novel in-memory computing accelerators for Machine Learning (ML) on the edge | |||
| E2CNN: ensembles of CNN |
| Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection | ||||
| Pale, Una; Teijeiro, Tomas; Atienza, David | ||||
| 2022-03-31 | Frontiers in Neurology | | ||
| Related Projects: | Sparse sampling of bio-signals | |||
| INCLASS: Incremental Classification Strategy for Self-Aware Epileptic Seizure Detection | ||||
| Ferretti, Lorenzo; Ansaloni, Giovanni; Marquis, Renaud; Teijeiro, Tomas; Ryvlin, Philippe; Atienza, David; Pozzi, Laura | ||||
| 2022-03-23 | Conference Paper | | ||
| Related Projects: | Epilepsy Monitoring | |||
| INCLASS: Incremental Classification Strategy for Self-Aware Epileptic Seizure Detection | ||||
| Ferretti, Lorenzo; Ansaloni, Giovanni; Marquis, Renaud; Teijeiro, Tomas; Ryvlin, Philippe; Atienza, David; Pozzi, Laura | ||||
| 2022-03-23 | Design Automation and Test in Europe Conference (DATE2022) | |||
| Related Projects: | Incremental inference and learning | |||
| Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers | ||||
| Huang, Darong; Pahlevan, Ali; Costero, Luis; Zapater Sancho, Marina; Atienza Alonso, David | ||||
| 2022-03-07 | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems | | ||
| Related Projects: | Multi-objective management and optimization of servers and data centers | |||
| Personalized seizure signature: An interpretable approach to false alarm reduction for longâ€term epileptic seizure detection | ||||
| Sopic, Dionisije; Teijeiro, Tomas; Atienza, David; Aminifar, Amir; Ryvlin, Philippe | ||||
| 2022-02-03 | Epilepsia | | ||
| Related Projects: | Epilepsy Monitoring | |||
| Thermal and Power-Aware Run-Time Performance Management of 3D MPSoCs with Integrated Flow Cell Arrays | ||||
| Najibi, Halima; Levisse, Alexandre Sébastien Julien; Ansaloni, Giovanni; Zapater Sancho, Marina; Atienza Alonso, David | ||||
| 2022 | Conference Paper | | ||
| Related Projects: | Thermal-aware design of 2D/3D MPSoCs | |||
| VWR2A: A Very-Wide-Register Reconfigurable-Array Architecture for Low-Power Embedded Devices | ||||
| Denkinger, Benoît Walter; Peon Quiros, Miguel; Konijnenburg, Mario; Atienza Alonso, David; Catthoor, Francky | ||||
| 2022 | Conference Paper | | ||
| Related Projects: | Health and wellness monitoring | |||
| Thermal and Voltage-Aware Performance Management of 3D MPSoCs with Flow Cell Arrays and Integrated SC Converters | ||||
| Najibi, Halima; Levisse, Alexandre Sébastien Julien; Ansaloni, Giovanni; Zapater Sancho, Marina; Miroslav Vasic; Atienza Alonso, David | ||||
| 2022 | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)) | | ||
| Related Projects: | Thermal-aware design of 2D/3D MPSoCs | |||
| Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection | ||||
| Pale, Una; Teijeiro, Tomas; Atienza Alonso, David | ||||
| 2022 | Conference Paper | | ||
| Related Projects: | Sparse sampling of bio-signals | |||
| An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs | ||||
| Ponzina, Flavio; Ansaloni, Giovanni; Peon Quiros, Miguel; Atienza Alonso, David | ||||
| 2022 | Conference Paper | | ||
| Related Projects: | Sparse sampling of bio-signals | |||
| Full System Exploration of On-Chip Wireless Communication on Many-Core Architectures | ||||
| Medina Morillas, Rafael; Klein, Joshua Alexander Harrison; Qureshi, Yasir Mahmood; Zapater Sancho, Marina; Ansaloni, Giovanni; Atienza Alonso, David | ||||
| 2022 | Conference Paper | | ||
| Related Projects: | Heterogeneous architectures for HPC applications | |||
| A hardware/software co-design vision for deep learning at the edge | ||||
| Ponzina, Flavio; Machetti, Simone; Rios, Marco Antonio; Denkinger, Benoît Walter; Levisse, Alexandre Sébastien Julien; Ansaloni, Giovanni; Peon Quiros, Miguel; Atienza Alonso, David | ||||
| 2022 | IEEE Micro - Special Issue on Artificial Intelligence at the Edge | | ||
| Related Projects: | ML-enabled IoT devices and embedded AI | |||
| Full System Exploration of On-Chip Wireless Communication on Many-Core Architectures | ||||
| Medina Morillas, Rafael; Klein, Joshua Alexander Harrison; Qureshi, Yasir Mahmood; Zapater Sancho, Marina; Ansaloni, Giovanni; Atienza Alonso, David | ||||
| 2022 | Conference Paper | | ||
| Related Projects: | WiPLASH: In-package Wireless Links | |||
| An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs | ||||
| Ponzina, Flavio; Ansaloni, Giovanni; Peon Quiros, Miguel; Atienza Alonso, David | ||||
| 2022 | Conference Paper | | ||
| Related Projects: | E2CNN: ensembles of CNN | |||
| A hardware/software co-design vision for deep learning at the edge | ||||
| Ponzina, Flavio; Machetti, Simone; Rios, Marco Antonio; Denkinger, Benoît Walter; Levisse, Alexandre Sébastien Julien; Ansaloni, Giovanni; Peon Quiros, Miguel; Atienza Alonso, David | ||||
| 2022 | IEEE Micro - Special Issue on Artificial Intelligence at the Edge | | ||
| Related Projects: | E2CNN: ensembles of CNN | |||
| VWR2A: A Very-Wide-Register Reconfigurable-Array Architecture for Low-Power Embedded Devices | ||||
| Denkinger, Benoît Walter; Peon Quiros, Miguel; Konijnenburg, Mario; Atienza Alonso, David; Catthoor, Francky | ||||
| 2022 | Conference Paper | | ||
| Related Projects: | Coarse-Grained Reconfigurable Arrays | |||
| A hardware/software co-design vision for deep learning at the edge | ||||
| Ponzina, Flavio; Machetti, Simone; Rios, Marco Antonio; Denkinger, Benoît Walter; Levisse, Alexandre Sébastien Julien; Ansaloni, Giovanni; Peon Quiros, Miguel; Atienza Alonso, David | ||||
| 2022 | IEEE Micro - Special Issue on Artificial Intelligence at the Edge | | ||
| Related Projects: | in-SRAM computing | |||
| A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification | ||||
| Orlandic, Lara; Teijeiro, Tomas; Atienza, David | ||||
| 2022 | Conference Paper | | ||
| Related Projects: | The COUGHVID crowdsourcing dataset | |||
| MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers | ||||
| Haghshenas, Kosar; Pahlevan, Ali; Zapater Sancho, Marina; Mohammadi, Siamak; Atienza Alonso, David | ||||
| 2022 | IEEE Transactions on Services Computing |  | ||
| Related Projects: | Thermal-aware design of 2D/3D MPSoCs | |||
| A hardware/software co-design vision for deep learning at the edge | ||||
| Ponzina, Flavio; Machetti, Simone; Rios, Marco Antonio; Denkinger, Benoît Walter; Levisse, Alexandre Sébastien Julien; Ansaloni, Giovanni; Peon Quiros, Miguel; Atienza Alonso, David | ||||
| 2022 | IEEE Micro - Special Issue on Artificial Intelligence at the Edge | | ||
| Related Projects: | HEEPocrates, a tsmc65 implementation of X-HEEP | |||
| CAFS: Cost-Aware Features Selection Method for Multimodal Stress Monitoring on Wearable Devices | ||||
| Momeni, Niloofar; Arza Valdes, Adriana; Rodrigues, João; Sandi, Carmen; Atienza Alonso, David | ||||
| 2021-09-16 | IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | | ||
| Related Projects: | Multimodal and personalised methods for health and wellness monitoring | |||
| MBioTracker: Multimodal Self-Aware Bio-Monitoring Wearable System for Online Workload Detection | ||||
| Dell'Agnola, Fabio Isidoro Tiberio; Pale, Una; Marino, Rodrigo; Arza Valdes, Adriana; Atienza Alonso, David | ||||
| 2021-09-08 | IEEE Transactions on Biomedical Circuits and Systems | | ||
| Related Projects: | Multimodal and personalised methods for health and wellness monitoring | |||
| Personalized Real-Time Federated Learning for Epileptic Seizure Detection | ||||
| Baghersalimi, Saleh; Teijeiro, Tomas; Atienza, David; Aminifar, Amir | ||||
| 2021-07-09 | IEEE Journal of Biomedical and Health Informatics | | ||
| Related Projects: | Epilepsy Monitoring | |||
| A Flexible In-Memory Computing Architecture for Heterogeneously Quantized CNNs | ||||
| Ponzina, Flavio; Rios, Marco Antonio; Ansaloni, Giovanni; Levisse, Alexandre Sébastien Julien; Atienza Alonso, David | ||||
| 2021-07-07 | 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) | | ||
| Related Projects: | E2CNN: ensembles of CNN | |||
| The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms | ||||
| Orlandic, Lara; Teijeiro, Tomas; Atienza Alonso, David | ||||
| 2021-06-23 | Scientific Data | | ||
| Related Projects: | Coughvid | |||
| Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental Health | ||||
| Orlandic, Lara; Arza Valdes, Adriana; Atienza Alonso, David | ||||
| 2021-06-07 | Conference Paper | | ||
| Related Projects: | Multimodal and personalised methods for health and wellness monitoring | |||
| Interpreting deep learning models for epileptic seizure detection on EEG signals | ||||
| Gabeff, Valentin; Teijeiro, Tomas; Zapater, Marina; Cammoun, Leila; Rheims, Sylvain; Ryvlin, Philippe; Atienza, David | ||||
| 2021-05-01 | Artificial Intelligence in Medicine | | ||
| Related Projects: | Epilepsy Monitoring | |||
| ReBeatICG database | ||||
| Pale, Una; Meier, David; Müller, Olivier; Valdes, Adriana Arza; Alonso, David Atienza | ||||
| 2021-04-28 | Dataset | | ||
| Related Projects: | Sparse sampling of bio-signals | |||
| 3D-ICE 3.0: efficient nonlinear MPSoC thermal simulation with pluggable heat sink models | ||||
| Terraneo, Federico; Leva, Alberto; Fornaciari, William; Zapater Sancho, Marina; Atienza Alonso, David | ||||
| 2021-04-19 | Transactions on Computer-Aided Design of Integrated Circuits and Systems |  | ||
| Related Projects: | 3D-ICE: 3D Interlayer Cooling Emulator | |||
| Thermal-aware design of 2D/3D MPSoCs |
| SPARE: A Spectral Peak Recovery Algorithm for PPG Signals Pulsewave Reconstruction in Multimodal Wearable Devices | ||||
| Masinelli, Giulio; Dell'Agnola, Fabio Isidoro Tiberio; Arza Valdes, Adriana; Atienza Alonso, David | ||||
| 2021-04-13 | Conference Paper | | ||
| Related Projects: | Health and wellness monitoring | |||
| Sparse sampling of bio-signals |
| Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices | ||||
| Forooghifar, Farnaz; Aminifar, Amin; Teijeiro, Tomas; Aminifar, Amir; Jeppesen, Jesper; Beniczky, Sandor; Atienza Alonso, David | ||||
| 2021-04-12 | Conference Paper | | ||
| Related Projects: | Federated machine learning over fog/edge/cloud architectures | |||
| Epilepsy Monitoring |
| COCKTAIL: Multi-Core Co-Optimization Framework With Proactive Reliability Management | ||||
| Huang, Darong; Pahlevan, Ali; Zapater Sancho, Marina; Atienza Alonso, David | ||||
| 2021-02-05 | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems | | ||
| Related Projects: | Thermal-aware design of 2D/3D MPSoCs | |||
| Running Efficiently CNNs on the Edge Thanks to Hybrid SRAM-RRAM In-Memory Computing | ||||
| Rios, Marco Antonio; Ponzina, Flavio; Ansaloni, Giovanni; Levisse, Alexandre Sébastien Julien; Atienza Alonso, David | ||||
| 2021-02-01 | DATE 2021 Design, Automation and Test in Europe Conference, Virtual Conference and Exhibition, February 1-5, 2021 | | ||
| Related Projects: | Analog in Memory Cores | |||
| in-SRAM computing |
| E2CNN: Ensembles of Convolutional Neural Networks to Improve Robustness Against Memory Errors in Edge-Computing Devices | ||||
| Ponzina, Flavio; Peon Quiros, Miguel; Burg, Andreas Peter; Atienza Alonso, David | ||||
| 2021 | IEEE - Transactions on Computers | | ||
| Related Projects: | ML-enabled IoT devices and embedded AI | |||
| ML-enabled IoT devices and embedded AI |
| Gem5-X : A Many-Core Heterogeneous Simulation Platform for Architectural Exploration and Optimization | ||||
| Qureshi, Yasir Mahmood; Simon, William Andrew; Zapater Sancho, Marina; Olcoz, Katzalin; Atienza Alonso, David | ||||
| 2021 | ACM Transactions on Architecture and Code Optimization (TACO) | | ||
| Related Projects: | gem5-X: gem5 made easy | |||
| Multi-Agent Reinforcement Learning for Hyperparameter Optimization of Deep Convolutional Neural Networks | ||||
| Iranfar, Arman; Zapater Sancho, Marina; Atienza Alonso, David | ||||
| 2021 | Journal of IEEE Transactions on Computer-Aided Design |  | ||
| Related Projects: | Power-aware acceleration of Deep Learning (DL) training and inference on High-Performance Computing (HPC) servers | |||
| ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals | ||||
| Iranfar, Arman; Arza Valdes, Adriana; Atienza Alonso, David | ||||
| 2021 | Conference Paper | | ||
| Related Projects: | Multimodal and personalised methods for health and wellness monitoring | |||
| Real-Time EEG-Based Cognitive Workload Monitoring on Wearable Devices | ||||
| Zanetti, Renato; Arza Valdes, Adriana; Aminifar, Amir; Atienza Alonso, David | ||||
| 2021 | IEEE Transactions on Biomedical Engineering (TBME) | | ||
| Related Projects: | Health and wellness monitoring | |||
| ReBeatICG: Real-time Low-Complexity Beat-to-beat Impedance Cardiogram Delineation Algorithm | ||||
| Pale, Una; Müller, Nathan; Arza Valdes, Adriana; Atienza Alonso, David | ||||
| 2021 | Conference Paper | | ||
| Related Projects: | Sparse sampling of bio-signals | |||
| Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection | ||||
| Pale, Una; Teijeiro, Tomas; Atienza Alonso, David | ||||
| 2021 | Conference Paper | | ||
| Related Projects: | Epilepsy Monitoring | |||
| E2CNN: Ensembles of Convolutional Neural Networks to Improve Robustness Against Memory Errors in Edge-Computing Devices | ||||
| Ponzina, Flavio; Peon Quiros, Miguel; Burg, Andreas Peter; Atienza Alonso, David | ||||
| 2021 | IEEE - Transactions on Computers | | ||
| Related Projects: | E2CNN: ensembles of CNN | |||
| Synthetic realistic noise-corrupted PPG database and noise generator for the evaluation of PPG denoising and delineation algorithms | ||||
| Masinelli, Giulio; Dell'Agnola, Fabio; Valdés, Adriana; Atienza, David | ||||
| 2021 | Dataset | |||
| Related Projects: | Synthetic realistic noise-corrupted PPG database | |||
| Exact Neural Networks from Inexact Multipliers via Fibonacci Weight Encoding | ||||
| Simon, William Andrew; Rey, Valérian; Levisse, Alexandre Sébastien Julien; Ansaloni, Giovanni; Zapater Sancho, Marina; Atienza Alonso, David | ||||
| 2021 | 2021 58th ACM/IEEE Design Automation Conference (DAC) | | ||
| Related Projects: | HDTorch: HyperDimensional computing library | |||
| ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power Markets | ||||
| Pahlevan, Ali; Zapater Sancho, Marina; Coskun, Ayse K.; Atienza Alonso, David | ||||
| 2021 | IEEE Transactions on Sustainable Computing (T-SUSC) | | ||
| Related Projects: | Power-aware acceleration of Deep Learning (DL) training and inference on High-Performance Computing (HPC) servers | |||
| E2CNN: Ensembles of Convolutional Neural Networks to Improve Robustness Against Memory Errors in Edge-Computing Devices | ||||
| Ponzina, Flavio; Peon Quiros, Miguel; Burg, Andreas Peter; Atienza Alonso, David | ||||
| 2021 | IEEE - Transactions on Computers | | ||
| Related Projects: | HEEPocrates, a tsmc65 implementation of X-HEEP | |||
| Towards Continuous and Ambulatory Blood Pressure Monitoring: Methods for Efficient Data Acquisition for Pulse Transit Time Estimation | ||||
| Ode, Oludotun; Orlandic, Lara; Inan, Omer T. | ||||
| 2020-12-11 | Sensors | |||
| Related Projects: | Health and wellness monitoring | |||
| EEG Correlates of Difficulty Levels in Dynamical Transitions of Simulated Flying and Mapping Tasks | ||||
| Jao, Ping-Keng; Chavarriaga, Ricardo; Dell'Agnola, Fabio; Arza, Adriana; Atienza, David; Millan, Jose del R. | ||||
| 2020-12-09 | IEEE Transactions on Human-Machine Systems | |||
| Related Projects: | Multimodal and personalised methods for health and wellness monitoring | |||
| EpilepsyGAN: Synthetic Epileptic Brain Activities with Privacy Preservation | ||||
| Pascual Ortiz, Damián; Amirshahi, Alireza; Aminifar, Amir; Atienza, David; Ryvlin, Philippe; Wattenhofer, Roger | ||||
| 2020-11-30 | IEEE Transactions on Biomedical Engineering | | ||
| Related Projects: | Epilepsy Monitoring | |||
| Analysis of Functional Errors Produced by Long-Term Workload-Dependent BTI Degradation in Ultra-Low Power Processors | ||||
| Duch, Loris; Peón-Quirós, Miguel; Weckx, Pieter; Levisse, Alexandre Sébastien Julien; Braojos Lopez, Ruben; Catthoor, Francky; Atienza Alonso, David | ||||
| 2020-06-09 | IEEE Transactions on Very Large Scale Integration Systems | | ||
| Related Projects: | Health and wellness monitoring | |||
| Write Termination circuits for RRAM : A Holistic Approach From Technology to Application Considerations | ||||
| Levisse, Alexandre Sébastien Julien; Bocquet, Marc; Rios, Marco Antonio; Alayan, Mouhamad; Moreau, Mathieu; Molas, Gabriel; Vianello, Elisa; Atienza Alonso, David; Portal, Jean-Michel | ||||
| 2020-06-05 | IEEE Access | | ||
| Related Projects: | Analog in Memory Cores | |||
| Noninvasive detection of focal seizures in ambulatory patients | ||||
| Ryvlin, Philippe; Cammoun, Leila; Hubbard, Ilona; Ravey, France; Beniczky, Sandor; Atienza, David | ||||
| 2020-06-02 | Epilepsia | |||
| Related Projects: | Epilepsy Monitoring | |||
| Noise-Resilient and Interpretable Epileptic Seizure Detection | ||||
| Hitchcock Thomas, Anthony; Aminifar, Amir; Atienza Alonso, David | ||||
| 2020-05-17 | [2020 IEEE International Symposium on Circuits and Systems (ISCAS). Proceedings] | | ||
| Related Projects: | Epilepsy Monitoring | |||
| Containergy-A Container-Based Energy and Performance Profiling Tool for Next Generation Workloads | ||||
| Silva-de-Souza, Wellington; Iranfar, Arman; Braulio, Anderson; Zapater, Marina; Xavier-de-Souza, Samuel; Olcoz, Katzalin; Atienza, David | ||||
| 2020-05-01 | Energies | | ||
| Related Projects: | Containergy | |||
| An Event-Based System for Low-Power ECG QRS Complex Detection | ||||
| 2020-03-09 | DATE 2020 - Design, Automation & Test In Europe Conference & Exhibition |  | ||
| Related Projects: | Sparse sampling of bio-signals | |||
| Self-Aware Machine Learning for Multimodal Workload Monitoring During Manual Labor on Edge Wearable Sensors | ||||
| Masinelli, Giulio; Forooghifar, Farnaz; Arza, Adriana; Aminifar, Amir; Atienza, David | ||||
| 2020-02-21 | IEEE Design & Test |  | ||
| Related Projects: | Multimodal and personalised methods for health and wellness monitoring | |||
| Cognitive workload monitoring in virtual reality based rescue missions with drones | ||||
| Dell'Agnola, Fabio Isidoro Tiberio; Momeni, Niloofar; Arza Valdes, Adriana; Atienza, David | ||||
| 2020-02-21 | Conference Paper | |||
| Related Projects: | Multimodal and personalised methods for health and wellness monitoring | |||
| RRAM-VAC: A Variability-Aware Controller for RRAM-based Memory Architectures | ||||
| Shikhar Tuli, Marco Antonio Rios, Alexandre Sébastien Julien Levisse, David Atienza Alonso | ||||
| 2020-01-13 | IEEE/ACM Asia and South Pacific Design Automation Conference ASP-DAC 2020 | | ||
| Related Projects: | Analog in Memory Cores | |||
| Event-Triggered Sensing for High-Quality and Low-Power Cardiovascular Monitoring Systems | ||||
| Surrel, Grégoire ; Teijeiro, Tomas ; Chevrier, Matthieu ; Aminifar, Amir ; Atienza Alonso, David | ||||
| 2020 | IEEE Design & Test | | ||
| Related Projects: | Sparse sampling of bio-signals | |||
| Robust Epileptic Seizure Detection on Wearable Systems with Reduced False-Alarm Rate | ||||
| Zanetti, Renato; Aminifar, Amir; Atienza Alonso, David | ||||
| 2020 | | |||
| Related Projects: | Health and wellness monitoring | |||
| Enabling Optimal Power Generation of Flow Cell Arrays in 3D MPSoCs with On-Chip Switched Capacitor Converters | ||||
| Najibi, Halima; Hunter, Jorge; Levisse, Alexandre Sébastien Julien; Zapater Sancho, Marina; Vasic, Miroslav; Atienza Alonso, David | ||||
| 2020 | IEEE Computer Society Annual Symposium on VLSI, Limassol, Cyprus, July 6-8, 2020 | | ||
| Related Projects: | Fuel Cell Arrays: liquid cooling and power delivery | |||
| Towards Deeply Scaled 3D MPSoCs with Integrated Flow Cell Array Technology | ||||
| Najibi, Halima; Levisse, Alexandre Sébastien Julien; Zapater Sancho, Marina; Aly, Mohamed Mostafa Sabry; Atienza Alonso, David | ||||
| 2020 | ACM Great Lakes Symposium on VLSI (GLSVLSI), Beijing, China, September, 7-9, 2020 | | ||
| Related Projects: | Fuel Cell Arrays: liquid cooling and power delivery | |||
| Modular Design and Optimization of Biomedical Applications for Ultra-Low Power Heterogeneous Platforms | ||||
| De Giovanni, Elisabetta; Montagna, Fabio; Denkinger, Benoît Walter; Machetti, Simone; Peon Quiros, Miguel; Benatti, Simone; Rossi, Davide; Benini, Luca; Atienza Alonso, David | ||||
| 2020 | [Proceedings of CODES+ISSS 2020] | | ||
| Related Projects: | Health and wellness monitoring | |||
| Real-Time Personalized Atrial Fibrillation Prediction on Multi-Core Wearable Sensors | ||||
| De Giovanni, Elisabetta; Arza Valdes, Adriana; Peon Quiros, Miguel; Aminifar, Amir; Atienza Alonso, David | ||||
| 2020 | IEEE Transactions on Emerging Topics in Computing | | ||
| Related Projects: | Health and wellness monitoring | |||
| A Hybrid Cache HW/SW Stack for Optimizing Neural Network Runtime, Power and Endurance | ||||
| Simon, William Andrew; Levisse, Alexandre Sébastien Julien; Zapater Sancho, Marina; Atienza Alonso, David | ||||
| 2020 | 28th IFIP/IEEE International Conference on Very Large Scale Integration | | ||
| Related Projects: | Analog in Memory Cores | |||
| Genome Sequence Alignment - Design Space Exploration for Optimal Performance and Energy Architectures | ||||
| Qureshi, Yasir Mahmood; Herruzo, Jose Manuel; Zapater, Marina; Olcoz, Katzalin; Gonzalez Navarro, Sonia; Plata, Oscar; Atienza Alonso, David | ||||
| 2020 | IEEE Transactions on Computers | | ||
| Related Projects: | Heterogeneous architectures for HPC applications | |||
| Dynamic Thermal Management with Proactive Fan Speed Control Through Reinforcement Learning | ||||
| Iranfar, Arman; Terraneo, Federico; Csordas, Gabor; Zapater Sancho, Marina; Fornaciari, William; Atienza Alonso, David | ||||
| 2020 | [Proceedings Design, Automation and Test in Europe Conference and Exhibition] | | ||
| Related Projects: | 3D-ICE: 3D Interlayer Cooling Emulator | |||
| Robust Epileptic Seizure Detection on Wearable Systems with Reduced False-Alarm Rate | ||||
| Zanetti, Renato; Aminifar, Amir; Atienza Alonso, David | ||||
| 2020 | | |||
| Related Projects: | Multimodal and personalised methods for health and wellness monitoring | |||
| Epilepsy Monitoring |
| Real-Time Personalized Atrial Fibrillation Prediction on Multi-Core Wearable Sensors | ||||
| De Giovanni, Elisabetta; Arza Valdes, Adriana; Peon Quiros, Miguel; Aminifar, Amir; Atienza Alonso, David | ||||
| 2020 | IEEE Transactions on Emerging Topics in Computing | | ||
| Related Projects: | Multimodal and personalised methods for health and wellness monitoring | |||
| Resource Management for Power-Constrained HEVC Transcoding Using Reinforcement Learning | ||||
| Costero, Luis; Iranfar, Arman; Zapater Sancho, Marina; D. Igual, Francisco; Olcoz, Katzalin; Atienza Alonso, David | ||||
| 2020 | IEEE Transactions on Parallel and Distributed Systems | | ||
| Related Projects: | Multi-objective management and optimization of servers and data centers | |||
| Modular Design and Optimization of Biomedical Applications for Ultra-Low Power Heterogeneous Platforms | ||||
| De Giovanni, Elisabetta; Montagna, Fabio; Denkinger, Benoît Walter; Machetti, Simone; Peon Quiros, Miguel; Benatti, Simone; Rossi, Davide; Benini, Luca; Atienza Alonso, David | ||||
| 2020 | [Proceedings of CODES+ISSS 2020] | | ||
| Related Projects: | Coarse-Grained Reconfigurable Arrays | |||
| BLADE: An in-Cache Computing Architecture for Edge Devices | ||||
| William Simon, Yasir Qureshi, Marco Rios, Alexandre Levisse, Marina Zapater, David Atienza | ||||
| 2020 | Transactions on Computers 2020 | | ||
| Related Projects: | in-SRAM computing | |||
| Functionality Enhanced Memories for Edge-AI Embedded Systems | ||||
| Alexandre Levisse; Marco Rios, William Simon; P-E. Gaillardon, David Atienza | ||||
| 2019-11-25 | Non-Volatile Memory Technology Symposium 2019 | | ||
| Related Projects: | Analog in Memory Cores | |||
| Resource-Aware Distributed Epilepsy Monitoring Using Self-Awareness From Edge to Cloud | ||||
| Forooghifar, Farnaz ; Aminifar, Amir ; Atienza Alonso, David | ||||
| 2019-11-04 | IEEE Transactions on Biomedical Circuits and Systems | | ||
| Related Projects: | Federated machine learning over fog/edge/cloud architectures | |||
| Energy-efficient embedded machine learning |
| Resource management from the edge to the cloud, and efficient simulation of Internet-of-Things (IoT) scenarios for Artificial Intelligence (AI) applications |
| A QoS and Container-Based Approach for Energy Saving and Performance Profiling in Multi-Core Servers | ||||
| de Souza, Wellington Silva; Iranfar, Arman; Silva, Anderson; Zapater, Marina; de Souza, Samuel Xavier; Olcoz, Katzalin; Atienza, David | ||||
| 2019-10-09 | Proceedings of the 2019 IFIP/IEEE 27th International Conference on Very Large Scale Integration (VLSI-SoC) | | ||
| Related Projects: | Containergy | |||
| REWARD: Design, Optimization, and Evaluation of a Real-Time Relative-Energy Wearable R-Peak Detection Algorithm * | ||||
| Orlandic, Lara; De Giovanni, Elisabetta; Arza, Adriana; Yazdani, Sasan; Vesin, Jean-Marc; Atienza, David | ||||
| 2019-10-07 | 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) | | ||
| Related Projects: | Sparse sampling of bio-signals | |||
| An Associativity-Agnostic in-Cache Computing Architecture Optimized for Multiplication | ||||
| Marco Rios, William Simon, Alexandre Levisse, Marina Zapater, David Atienza | ||||
| 2019-10-06 | IFIP/IEEE 27th International Conference on Very Large Scale Integration (VLSI-SoC) 2019 | | ||
| Related Projects: | in-SRAM computing | |||
| RRAMSpec: A Design Space Exploration Framework for High Density Resistive RAM | ||||
| Deepak M. Mathew, André Lucas Chinazzo, Christian Weis, Matthias Jung, Bastien Giraud, Pascal Vivet, Alexandre Levisse, Norbert Wehn | ||||
| 2019-08-08 | International Conference on Embedded Computer Systems SAMOS 2019: Embedded Computer Systems: Architectures, Modeling, and Simulation | | ||
| Related Projects: | Analog in Memory Cores | |||
| A Self-Aware Epilepsy Monitoring System for Real-Time Epileptic Seizure Detection | ||||
| Forooghifar, Farnaz ; Aminifar, Amir ; Cammoun, Leila ; Atienza Alonso, David ; Wisniewski, Ilona ; Ciumas, Carolina ; Ryvlin, Philippe | ||||
| 2019-08-08 | Mobile Networks and Applications | | ||
| Related Projects: | Federated machine learning over fog/edge/cloud architectures | |||
| Energy-efficient embedded machine learning |
| Incremental inference and learning |
| Pattern recognition in non-uniformly sampled electrocardiogram signal for wearable sensors | ||||
| Silvio Zanolli, sup. Tomas Teijeiro, David Atienza | ||||
| 2019-07-10 | Masters Thesis | |||
| Related Projects: | Health and wellness monitoring | |||
| A fast, reliable and wide-voltage-range in-memory computing architecture | ||||
| William Simon, Juan Galicia, Alexandre Levisse, Marina Zapater, David Atienza | ||||
| 2019-06-02 | IEEE/ACM Design Automation Conference (DAC) 2019 | | ||
| Related Projects: | in-SRAM computing | |||
| BLADE: A BitLine Accelerator for Devices on the Edge | ||||
| W. A. Simon; Y. M. Qureshi; A. Levisse; M. Zapater Sancho; D. Atienza Alonso | ||||
| 2019-05-09 | ACM Great Lakes Symposium on VLSI (GLSVLSI 2019) | | ||
| Related Projects: | in-SRAM computing | |||
| Gem5-X: A Gem5-Based System Level Simulation Framework to Optimize Many-Core Platforms | ||||
| Qureshi, Yasir Mahmood; Simon, William Andrew; Zapater Sancho, Marina; Olcoz, Katzalin; Atienza Alonso, David | ||||
| 2019-04-29 | Proceedings of the 27th High Performance Computing Symposium (HPC 2019) | | ||
| Related Projects: | gem5-X: gem5 made easy | |||
| Switching event detection and self-termination programming circuit for energy efficient ReRAM memory arrays | ||||
| Mouhamad Alayan, Eloi Muhr, Alexandre Levisse, Marc Bocquet, Mathieu Moreau, Etienne Nowak, Gabriel Molas, Elisa Vianello, Jean Michel Portal | ||||
| 2019-04-02 | IEEE Transactions on Circuits and Systems II 2019 | | ||
| Related Projects: | Analog in Memory Cores | |||
| Multi-Modal Acute Stress Recognition Using Off-the-Shelf Wearable Devices | ||||
| Montesinos, Victoriano; Dell'Agnola, Fabio; Arza, Adriana; Aminifar, Amir; Atienza, David | ||||
| 2019-01-01 | 2019 41St Annual International Conference Of The Ieee Engineering In Medicine And Biology Society (Embc) | |||
| Related Projects: | Multimodal and personalised methods for health and wellness monitoring | |||
| Tailoring SVM Inference for Resource-Efficient ECG-Based Epilepsy Monitors | ||||
| Atienza Alonso, David ; Ferretti, Lorenzo ; Ansaloni, Giovanni ; Pozzi, Laura ; Aminifar, Amir ; Cammoun, Leila ; Ryvlin, Philippe | ||||
| 2019 | Design, Automation & Test in Europe Conference (DATE) | | ||
| Related Projects: | Energy-efficient embedded machine learning | |||
| A Design Framework for Thermal-Aware Power Delivery Network in 3D MPSoCs with Integrated Flow Cell Arrays | ||||
| Najibi, Halima; Levisse, Alexandre Sébastien Julien; Zapater Sancho, Marina | ||||
| 2019 | ACM/IEEE International Symposium on Low Power Electronics and Design, Lausanne, Switzerland, July 29-31, 2019 | | ||
| Related Projects: | Fuel Cell Arrays: liquid cooling and power delivery | |||
| A Machine Learning-Based Framework for Throughput Estimation of Time-Varying Applications in Multi-Core Servers | ||||
| Iranfar, Arman; Silva De Souza, Wellington; Zapater Sancho, Marina; Olcoz, Katzalin; Xavier de Souza, Samuel; Atienza Alonso, David | ||||
| 2019 | Conference Paper | | ||
| Related Projects: | Multi-objective management and optimization of servers and data centers | |||
| i-DPs CGRA: An Interleaved-Datapaths Reconfigurable Accelerator for Embedded Bio-signal Processing | ||||
| Duch, Loris Gérard; Basu, Soumya Subhra; Peon Quiros, Miguel; Ansaloni, Giovanni; Pozzi, Laura; Atienza Alonso, David | ||||
| 2019 | IEEE Embedded Systems Letters (ESL) | |||
| Related Projects: | Coarse-Grained Reconfigurable Arrays | |||
| Resistive Switching Memory Architecture Based on Polarity Controllable Selectors | ||||
| Alexandre Levisse, Pierre-Emmanuel Gaillardon, Bastien Giraud, Ian O'Connor, Jean-Philippe Noel, Mathieu Moreau, Jean-Michel Portal | ||||
| 2018-12-21 | IEEE Transactions on Nanotechnology 2018 | | ||
| Related Projects: | Analog in Memory Cores | |||
| Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors | ||||
| Surrel, Grégoire; Aminifar, Amir; Rincon Vallejos, Francisco Javier; Murali, Srinivasan; Atienza Alonso, David | ||||
| 2018-08 | IEEE Transactions on Biomedical Circuits and Systems |  | ||
| Related Projects: | Multimodal and personalised methods for health and wellness monitoring | |||
| Online Obstructive Sleep Apnea Detection on Wearable Devices | ||||
| G. Surrel, A. Aminifar, F. Rincon, S. Murali, D. Atienza | ||||
| 2018 | IEEE Transactions on Biomedical Circuits and Systems (TBioCAS) | | ||
| Related Projects: | Energy-aware design of multi-modal wearable sensors for personalized health and wellness monitoring | |||
| e-Glass: A Wearable System for Real-Time Detection of Epileptic Seizures | ||||
| D. Sopic, A. Aminifar, D. Atienza | ||||
| 2018 | International Symposium on Circuits and Systems (ISCAS) | | ||
| Related Projects: | Sparse sampling of bio-signals | |||
| Self-Aware Wearable Systems in Epileptic Seizure Detection | ||||
| F. Forooghifar, A. Aminifar, and D. Atienza Alonso | ||||
| 2018 | Euromicro Conference on Digital System Design (DSD) | | ||
| Related Projects: | Sparse sampling of bio-signals | |||
| Design Optimization of 3D Multi-Processor System-on-Chip with Integrated Flow Cell Arrays | ||||
| Andreev, Artem; Kaplan, Fulya; Zapatero Sancho, Marina; Coskun, Ayse K.; Atienza Alonso, David | ||||
| 2018 | | |||
| Related Projects: | Fuel Cell Arrays: liquid cooling and power delivery | |||
| A Machine Learning-Based Strategy for Efficient Resource Management of Video Encoding on Heterogeneous MPSoCs | ||||
| Iranfar, Arman; Simon, William Andrew; Zapater Sancho, Marina; Atienza Alonso, David | ||||
| 2018 | Conference Paper | | ||
| Related Projects: | Multi-objective management and optimization of servers and data centers | |||
| Machine Learning-Based Quality-Aware Power and Thermal Management of Multistream HEVC Encoding on Multicore Servers | ||||
| Iranfar, Arman; Zapater Sancho, Marina; Atienza Alonso, David | ||||
| 2018 | Journal of IEEE Transactions on Parallel and Distributed Systems (TPDS) | | ||
| Related Projects: | Multi-objective management and optimization of servers and data centers | |||
| Design of a Two-Phase Gravity-Driven Micro-Scale Thermosyphon Cooling System for High-Performance Computing Data Centers | ||||
| Seuret, André; Iranfar, Arman; Zapater Sancho, Marina; Thome, John Richard; Atienza Alonso, David | ||||
| 2018 | Conference Paper | | ||
| Related Projects: | Thermal-aware design of 2D/3D MPSoCs | |||
| Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems | ||||
| Sopic, Dionisije; Aminifar, Amin; Aminifar, Amir; Atienza Alonso, David | ||||
| 2018 | IEEE Transactions on Biomedical Circuits and Systems | | ||
| Related Projects: | Multimodal and personalised methods for health and wellness monitoring | |||
| Heterogeneous and Inexact: Maximizing Power Efficiency of Edge Computing Sensors for Health Monitoring Applications | ||||
| Basu, Soumya Subhra; Duch, Loris Gérard; Peon Quiros, Miguel; Ansaloni, Giovanni; Pozzi, Laura; Atienza Alonso, David | ||||
| 2018 | 2018 Ieee International Symposium On Circuits And Systems (Iscas) | |||
| Related Projects: | Coarse-Grained Reconfigurable Arrays | |||
| A Patient-Specific Methodology for Prediction of Paroxysmal Atrial Fibrillation Onset | ||||
| E. De Giovanni, A. Aminifar, A. Luca, S. Yazdani, J.-M. Vesin and D. Atienza Alonso | ||||
| 2017-09-24 | Computing in Cardiology, Rennes, France |  | ||
| Related Projects: | Energy-aware design of multi-modal wearable sensors for personalized health and wellness monitoring | |||
| HEAL-WEAR: an Ultra-Low Power Heterogeneous System for Bio-Signal Analysis | ||||
| L. Duch, S. Basu, R. Braojos, G. Ansaloni, L. Pozzi and D. Atienza | ||||
| 2017 | IEEE Transactions on Circuits and Systems-I (TCAS-I) | |||
| Related Projects: | Energy-aware design of multi-modal wearable sensors for personalized health and wellness monitoring | |||
| An Inexact Ultra-low Power Bio-signal Processing Architecture With Lightweight Error Recovery | ||||
| S. Basu, L. Duch, R. Braojos, G. Ansaloni, L. Pozzi and D. Atienza | ||||
| 2017 | CODES-ISSS, Seoul, South-Korea | |||
| Related Projects: | Energy-aware design of multi-modal wearable sensors for personalized health and wellness monitoring | |||
| Real-Time Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Devices | ||||
| D. Sopic, A. Aminifar, D. Atienza Alonso | ||||
| 2017 | IEEE Biomedical Circuits and Systems Conference, Italy | |||
| Related Projects: | Energy-efficient embedded machine learning | |||
| A Patient-Specific Methodology for Prediction of Paroxysmal Atrial Fibrillation Onset | ||||
| E. De Giovanni, A. Aminifar, A. Luca, S. Yazdani, JM. Vesin, D. Atienza Alonso | ||||
| 2017 | Computing in Cardiology (CinC), France | |||
| Related Projects: | Energy-efficient embedded machine learning | |||
| Hierarchical Cardiac-Rhythm Classification Based on Electrocardiogram Morphology | ||||
| D. Sopic, E. De Giovanni, A. Aminifar and D. Atienza Alonso | ||||
| 2017 | Computing in Cardiology (CinC), France | |||
| Related Projects: | Energy-efficient embedded machine learning | |||
| PowerCool: Simulation of Cooling and Powering of 3D MPSoCs with Integrated Flow Cell Arrays | ||||
| A. A. Andreev, A. Sridhar, M. M. Sabry Aly, M. Zapater and P. Ruch et al. | ||||
| 2017 | IEEE Transactions on Computers | | ||
| Related Projects: | Fuel Cell Arrays: liquid cooling and power delivery | |||
| HEAL-WEAR: an Ultra-Low Power Heterogeneous System for Bio-Signal Analysis | ||||
| L. Duch, S. Basu, R. Braojos, G. Ansaloni, L. Pozzi and D. Atienza | ||||
| 2017 | IEEE Transactions on Circuits and Systems-I (TCAS-I) | |||
| Related Projects: | Coarse-Grained Reconfigurable Arrays | |||
| An Inexact Ultra-low Power Bio-signal Processing Architecture With Lightweight Error Recovery | ||||
| S. Basu, L. Duch, R. Braojos, G. Ansaloni, L. Pozzi and D. Atienza | ||||
| 2017 | CODES-ISSS, Seoul, South-Korea | |||
| Related Projects: | Coarse-Grained Reconfigurable Arrays | |||
| Ultra-Low Power Estimation of Heart Rate Under Physical Activity Using a Wearable Photoplethysmographic System | ||||
| E. De Giovanni, D. Atienza Alonso, S. Murali and F. J. Rincon Vallejos | ||||
| 2016-08-31 | 19th IEEE/Euromicro Conference On Digital System Design (DSD 2016) | | ||
| Related Projects: | Energy-aware design of multi-modal wearable sensors for personalized health and wellness monitoring | |||
| A Multi-Core Reconfigurable Architecture for Ultra-Low Power Bio-Signal Analysis | ||||
| L. Duch, S. Basu, R. Braojos, G. Ansaloni, L. Pozzi and D. Atienza | ||||
| 2016 | BioCAS, Shanghai, China | |||
| Related Projects: | Energy-aware design of multi-modal wearable sensors for personalized health and wellness monitoring | |||
| Low-Power Wearable System for Real-Time Screening of Obstructive Sleep Apnea | ||||
| G. Surrel, F. J. Rincon Vallejos, S. Murali and D. Atienza Alonso | ||||
| 2016 | IEEE Computer Society Annual Symposium on VLSI, USA | |||
| Related Projects: | Energy-aware design of multi-modal wearable sensors for personalized health and wellness monitoring | |||
| Touch-Based System for Beat-to-Beat Impedance Cardiogram Acquisition and Hemodynamic Parameters Estimation | ||||
| D. Sopic, S. Murali, F. J. Rincon Vallejos, D. Atienza Alonso | ||||
| 2016 | Design Automation and Test in Europe Conference (DATE), Germany | |||
| Related Projects: | Energy-efficient embedded machine learning | |||
| Towards Near-Threshold Server Processors | ||||
| A. Pahlevan, J. Picorel Obando, A. Pourhabibi Zarandi, D. Rossi and M. Zapater Sancho et al. | ||||
| 2016 | Design, Automation and Test in Europe Conference (DATE), Dresden, Germany | | ||
| Related Projects: | Heterogeneous architectures for HPC applications | |||
| A Multi-Core Reconfigurable Architecture for Ultra-Low Power Bio-Signal Analysis | ||||
| L. Duch, S. Basu, R. Braojos, G. Ansaloni, L. Pozzi and D. Atienza | ||||
| 2016 | BioCAS, Shanghai, China | |||
| Related Projects: | Coarse-Grained Reconfigurable Arrays | |||
| A wearable device for physical and emotional health monitoring | ||||
| S. Murali, F. Rincon, D. Atienza | ||||
| 2015 | Computing in Cardiology Conference (CinC) | | ||
| Related Projects: | Energy-aware design of multi-modal wearable sensors for personalized health and wellness monitoring | |||
| Sparse sampling of bio-signals |
| Energy-efficient embedded machine learning |
| PowerCool: Simulation of Integrated Microfluidic Power Generation in Bright Silicon MPSoCs | ||||
| A. Sridhar, M. M. Sabry, P. Ruch, D. Atienza Alonso and B. Michel | ||||
| 2014 | IEEE/ACM 2014 International Conference on Computer Aided-Design (ICCAD) | | ||
| Related Projects: | Fuel Cell Arrays: liquid cooling and power delivery | |||
| Integrated Microfluidic Power Generation and Cooling for Bright Silicon MPSoCs | ||||
| M. M. S. Aly, A. Sridhar, D. Atienza Alonso, P. Ruch and B. Michel | ||||
| 2014 | IEEE/ACM 2014 Design Automation and Test in Europe (DATE) Conference, Dresden, Germany | |||
| Related Projects: | Fuel Cell Arrays: liquid cooling and power delivery | |||
| 3D-ICE: a Compact Thermal Model for Early-Stage Design of Liquid-Cooled ICs | ||||
| Sridhar, Arvind; Vincenzi, Alessandro; Atienza Alonso, David; Brunschwiler, Thomas | ||||
| 2014 | IEEE Transactions on Computers | | ||
| Related Projects: | 3D-ICE: 3D Interlayer Cooling Emulator | |||
| STEAM: a fast compact thermal model for two-phase cooling of integrated circuits | ||||
| Sridhar, Arvind; Madhour, Yassir; Atienza, David; Brunschwiler, Thomas; Thome, John | ||||
| 2013 | Proceedings of the 32nd International Conference On Computer-Aided Design (ICCAD) | | ||
| Related Projects: | STEAM | |||
| GreenCool: An Energy-Efficient Liquid Cooling Design Technique for 3-D MPSoCs Via Channel Width Modulation | ||||
| Sabry, Mohamed M.; Sridhar, Arvind; Meng, Jie; Coskun, Ayse K.; Atienza, David | ||||
| 2013 | Ieee Transactions On Computer-Aided Design Of Integrated Circuits And Systems | | ||
| Related Projects: | 3D-ICE: 3D Interlayer Cooling Emulator | |||
| Automated real-time atrial fibrillation detection on a wearable wireless sensor platform | ||||
| F. Rincón, P.R. Grassi, N. Khaled, D. Atienza, D. Sciuto | ||||
| 2012 | IEEE Engineering in Medicine and Biology Society Conference (EMBC) | |||
| Related Projects: | Energy-efficient embedded machine learning | |||
| Accelerating Thermal Simulations of 3D ICs with Liquid Cooling using Neural Networks | ||||
| Vincenzi, Alessandro; Sridhar, Arvind; Ruggiero, Martino; Atienza Alonso, David | ||||
| 2012 | Proceedings of the 22nd edition of Great lakes symposium on VLSI (GLSVLSI2012) | | ||
| Related Projects: | 3D-ICE: 3D Interlayer Cooling Emulator | |||
| Fast and Scalable Temperature-driven Floorplan Design in 3D MPSoCs | ||||
| Arnaldo, Ignacio; Vincenzi, Alessandro; Rodrigo, Ayala; Luis, José; Risco, José L.; Hidalgo, J. Ignacio; Ruggiero, Martino; Atienza Alonso, David | ||||
| 2012 | Proceedings of the 13th IEEE Latin American Test Workshop (LATW2012) | | ||
| Related Projects: | 3D-ICE: 3D Interlayer Cooling Emulator | |||
| EigenMaps: Algorithms for Optimal Thermal Maps Extraction and Sensor Placement on Multicore Processors | ||||
| Ranieri, Juri; Vincenzi, Alessandro; Chebira, Amina; Atienza Alonso, David; Vetterli, Martin | ||||
| 2012 | Proceedings of the 49th Design Automation Conference, DAC 2012 | |||
| Related Projects: | 3D-ICE: 3D Interlayer Cooling Emulator | |||
| Thermal Balancing of Liquid-Cooled 3D-MPSoCs Using Channel Modulation | ||||
| Sabry, Mohamed M.; Sridhar, Arvind; Atienza Alonso, David | ||||
| 2012 | Proceedings of the IEEE/ACM 2012 Design Automation and Test in Europe conference (DATE) | | ||
| Related Projects: | 3D-ICE: 3D Interlayer Cooling Emulator | |||
| Neural Network-Based Thermal Simulation of Integrated Circuits on GPUs | ||||
| Sridhar, Arvind; Vincenzi, Alessandro; Ruggiero, Martino; Atienza Alonso, David | ||||
| 2012 | IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems | | ||
| Related Projects: | 3D-ICE: 3D Interlayer Cooling Emulator | |||
| System-Level Thermal-Aware Design of 3D Multiprocessors with Inter-Tier Liquid Cooling | ||||
| Sridhar, Arvind; Sabry, Mohamed M.; Atienza Alonso, David | ||||
| 2011 | Proceedings of Therminic 2011 | | ||
| Related Projects: | 3D-ICE: 3D Interlayer Cooling Emulator | |||
| Fast Thermal Simulation of 2D/3D Integrated Circuits Exploiting Neural Networks and GPUs | ||||
| Vincenzi, Alessandro; Sridhar, Arvind; Ruggiero, Martino; Atienza Alonso, David | ||||
| 2011 | Proceedigns of the IEEE International Symposium on Low Power Electronics and Design (ISLPED 2011) | | ||
| Related Projects: | 3D-ICE: 3D Interlayer Cooling Emulator | |||
| Towards Thermally-Aware Design of 3D MPSoCs with Inter-Tier Cooling | ||||
| Sabry, Mohamed; Sridhar, Arvind; Atienza Alonso, David; Temiz, Yuksel; Leblebici, Yusuf; Szczukiewicz, Sylwia; Borhani, Navid; Thome, John Richard; Brunschwiler, Thomas; Michel, Bruno | ||||
| 2011 | Proceedings of Design, Automation and Test in Europe (DATE) | | ||
| Related Projects: | 3D-ICE: 3D Interlayer Cooling Emulator | |||
| Compact transient thermal model for 3D ICs with liquid cooling via enhanced heat transfer cavity geometries | ||||
| Sridhar, Arvind; Vincenzi, Alessandro; Ruggiero, Martino; Brunschwiler, Thomas; Atienza Alonso, David | ||||
| 2010 | Proceedings of the 16th International Workshop on Thermal Investigations of ICs and Systems (THERMINIC'10) | | ||
| Related Projects: | 3D-ICE: 3D Interlayer Cooling Emulator | |||
| 3D-ICE: Fast compact transient thermal modeling for 3D-ICs with inter-tier liquid cooling | ||||
| Sridhar, Arvind; Vincenzi, Alessandro; Ruggiero, Martino; Brunschwiler, Thomas; Atienza Alonso, David | ||||
| 2010 | Proceedings of the 2010 International Conference on Computer-Aided Design (ICCAD 2010) | | ||
| Related Projects: | 3D-ICE: 3D Interlayer Cooling Emulator | |||