David Atienza - researchr alias

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Viewing Publication 1 - 100 from 352

2024

Accelerator-Driven Data Arrangement to Minimize Transformers Run-Time on Multi-Core ArchitecturesAlireza Amirshahi, Giovanni Ansaloni, David Atienza. hipeac 2024: [doi]

Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable SystemsSaleh Baghersalimi, Tomás Teijeiro, Amir Aminifar, David Atienza. tmc, 23(5):6392-6407, May 2024. [doi]

2023

TiC-SAT: Tightly-Coupled Systolic Accelerator for TransformersAlireza Amirshahi, Joshua Alexander Harrison Klein, Giovanni Ansaloni, David Atienza. aspdac 2023: 657-663 [doi]

M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain ActivitiesAlireza Amirshahi, Anthony Hitchcock Thomas, Amir Aminifar, Tajana Rosing, David Atienza. titb, 27(1):202-214, 2023. [doi]

Acceleration of Control Intensive Applications on Coarse-Grained Reconfigurable Arrays for Embedded SystemsBenoît Walter Denkinger, Miguel Peón Quirós, Mario Konijnenburg, David Atienza, Francky Catthoor. TC, 72(9):2548-2560, September 2023. [doi]

A 16-bit Floating-Point Near-SRAM Architecture for Low-power Sparse Matrix-Vector MultiplicationGrégoire Eggermann, Marco Rios, Giovanni Ansaloni, Sani R. Nassif, David Atienza. vlsi 2023: 1-6 [doi]

Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity ExerciseElisabetta De Giovanni, Tomás Teijeiro, Grégoire P. Millet, David Atienza. tbe, 70(3):941-953, March 2023. [doi]

EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable SystemsBaichuan Huang, Renato Zanetti, Azra Abtahi, David Atienza, Amir Aminifar. aicas 2023: 1-5 [doi]

Point-process-based Representation Learning for Electronic Health RecordsHojjat Karami, Anisoara Ionescu, David Atienza. bhi 2023: 1-4 [doi]

ALPINE: Analog In-Memory Acceleration With Tight Processor Integration for Deep LearningJoshua Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza. TC, 72(7):1985-1998, July 2023. [doi]

System-Level Exploration of In-Package Wireless Communication for Multi-Chiplet PlatformsRafael Medina, Joshua Kein, Giovanni Ansaloni, Marina Zapater, Sergi Abadal, Eduard Alarcón, David Atienza. aspdac 2023: 561-566 [doi]

REMOTE: Re-thinking Task Mapping on Wireless 2.5D Systems-on-Package for Hotspot RemovalRafael Medina, Darong Huang, Giovanni Ansaloni, Marina Zapater, David Atienza. vlsi 2023: 1-6 [doi]

Thermal and Voltage-Aware Performance Management of 3-D MPSoCs With Flow Cell Arrays and Integrated SC ConvertersHalima Najibi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Miroslav Vasic, David Atienza. tcad, 42(1):2-15, 2023. [doi]

Cross Layer Design for the Predictive Assessment of Technology-Enabled ArchitecturesMichael T. Niemier, X. S. Hu, L. Liu, Mohammad Mehdi Sharifi, Ian O'Connor, David Atienza, Giovanni Ansaloni, Can Li, Asif Khan, Daniel C. Ralph. date 2023: 1-10 [doi]

A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classificationLara Orlandic, Tomás Teijeiro, David Atienza. cmpb, 241:107743, November 2023. [doi]

A Multimodal Dataset for Automatic Edge-AI Cough DetectionLara Orlandic, Jérôme Thevenot, Tomás Teijeiro, David Atienza. embc 2023: 1-7 [doi]

Special Session: Challenges and Opportunities for Sustainable Multi-Scale Computing SystemsXavier Ouvrard, Miguel Peón Quirós, David Atienza. codesisss 2023: 24-27 [doi]

Importance of methodological choices in data manipulation for validating epileptic seizure detection modelsUna Pale, Tomás Teijeiro, David Atienza. embc 2023: 1-7 [doi]

Overflow-free Compute Memories for Edge AI AccelerationFlavio Ponzina, Marco Rios, Alexandre Levisse, Giovanni Ansaloni, David Atienza. tecs, 22(5s), October 2023. [doi]

Bit-Line Computing for CNN Accelerators Co-Design in Edge AI InferenceMarco Rios, Flavio Ponzina, Alexandre Levisse, Giovanni Ansaloni, David Atienza. tetc, 11(2):358-372, April - June 2023. [doi]

Dynamic Scheduling for Event-Driven Embedded Industrial ApplicationsHossein Taji, Jose Miranda, Miguel Peón Quirós, Szabolcs Balási, David Atienza. vlsi 2023: 1-6 [doi]

Model-Based ISO 14971 Risk Management of EEG-Based Medical DevicesN. Yakymets, Renato Zanetti, A. Ionescu, David Atienza. embc 2023: 1-7 [doi]

Event-based sampled ECG morphology reconstruction through self-similaritySilvio Zanoli, Giovanni Ansaloni, Tomás Teijeiro, David Atienza. cmpb, 240:107712, October 2023. [doi]

An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable SensorsSilvio Zanoli, Flavio Ponzina, Tomás Teijeiro, Alexandre Levisse, David Atienza. esticas, 13(2):489-501, June 2023. [doi]

2022

PyBNesian: An extensible python package for Bayesian networksDavid Atienza, Concha Bielza, Pedro Larrañaga. ijon, 504:204-209, 2022. [doi]

Semiparametric Bayesian networksDavid Atienza, Concha Bielza, Pedro Larrañaga. isci, 584:564-582, 2022. [doi]

Personalized Real-Time Federated Learning for Epileptic Seizure DetectionSaleh Baghersalimi, Tomás Teijeiro, David Atienza, Amir Aminifar. titb, 26(2):898-909, 2022. [doi]

Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions With DronesFabio Dell'Agnola, Ping-Keng Jao, Adriana Arza 0001, Ricardo Chavarriaga, José del R. Millán, Dario Floreano, David Atienza. titb, 26(9):4751-4762, 2022. [doi]

VWR2A: a very-wide-register reconfigurable-array architecture for low-power embedded devicesBenoît W. Denkinger, Miguel Peón Quirós, Mario Konijnenburg, David Atienza, Francky Catthoor. dac 2022: 895-900 [doi]

INCLASS: Incremental Classification Strategy for Self-Aware Epileptic Seizure DetectionLorenzo Ferretti, Giovanni Ansaloni, Renaud Marquis, Tomás Teijeiro, Philippe Ryvlin, David Atienza, Laura Pozzi. date 2022: 1449-1454 [doi]

A Self-Aware Epilepsy Monitoring System for Real-Time Epileptic Seizure DetectionFarnaz Forooghifar, Amir Aminifar, Leila Cammoun, Ilona Wisniewski, Carolina Ciumas, Philippe Ryvlin, David Atienza. monet, 27(2):677-690, 2022. [doi]

MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data CentersKawsar Haghshenas, Ali Pahlevan, Marina Zapater, Siamak Mohammadi, David Atienza. tsc, 15(1):30-44, 2022. [doi]

Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing ServersDarong Huang, Ali Pahlevan, Luis Costero, Marina Zapater, David Atienza. tcad, 41(12):5596-5609, 2022. [doi]

COCKTAIL: Multicore Co-Optimization Framework With Proactive Reliability ManagementDarong Huang, Ali Pahlevan, Marina Zapater, David Atienza. tcad, 41(2):386-399, 2022. [doi]

Multiagent Reinforcement Learning for Hyperparameter Optimization of Convolutional Neural NetworksArman Iranfar, Marina Zapater, David Atienza. tcad, 41(4):1034-1047, 2022. [doi]

Full System Exploration of On-Chip Wireless Communication on Many-Core ArchitecturesRafael Medina, Joshua Kein, Yasir Mahmood Qureshi, Marina Zapater, Giovanni Ansaloni, David Atienza. lascas 2022: 1-4 [doi]

CAFS: Cost-Aware Features Selection Method for Multimodal Stress Monitoring on Wearable DevicesNiloofar Momeni, Adriana Arza Valdés, João Rodrigues, Carmen Sandi, David Atienza. tbe, 69(3):1072-1084, 2022. [doi]

Thermal and Power-Aware Run-time Performance Management of 3D MPSoCs with Integrated Flow Cell ArraysHalima Najibi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, David Atienza. glvlsi 2022: 223-228 [doi]

ExG Signal Feature Selection Using Hyperdimensional Computing EncodingUna Pale, Tomás Teijeiro, David Atienza. bibm 2022: 1688-1693 [doi]

Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure DetectionUna Pale, Tomás Teijeiro, David Atienza. embc 2022: 4076-4082 [doi]

A Hardware/Software Co-Design Vision for Deep Learning at the EdgeFlavio Ponzina, Simone Machetti, Marco Rios, Benoît Walter Denkinger, Alexandre Levisse, Giovanni Ansaloni, Miguel Peón Quirós, David Atienza. micro, 42(6):48-54, 2022. [doi]

An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNsFlavio Ponzina, Miguel Peón Quirós, Giovanni Ansaloni, David Atienza. coins 2022: 1-6 [doi]

Error Resilient In-Memory Computing Architecture for CNN Inference on the EdgeMarco Rios, Flavio Ponzina, Giovanni Ansaloni, Alexandre Levisse, David Atienza. glvlsi 2022: 249-254 [doi]

HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space ExplorationWilliam Andrew Simon, Una Pale, Tomás Teijeiro, David Atienza. iccad 2022: 83 [doi]

3D-ICE 3.0: Efficient Nonlinear MPSoC Thermal Simulation With Pluggable Heat Sink ModelsFederico Terraneo, Alberto Leva, William Fornaciari, Marina Zapater, David Atienza. tcad, 41(4):1062-1075, 2022. [doi]

Real-Time EEG-Based Cognitive Workload Monitoring on Wearable DevicesRenato Zanetti, Adriana Arza 0001, Amir Aminifar, David Atienza. tbe, 69(1):265-277, 2022. [doi]

2021

EditorialRajesh K. Gupta 0001, David Atienza. tcad, 40(6):1009, 2021. [doi]

MBioTracker: Multimodal Self-Aware Bio-Monitoring Wearable System for Online Workload DetectionFabio Dell'Agnola, Una Pale, Rodrigo Marino, Adriana Arza 0001, David Atienza. tbcas, 15(5):994-1007, 2021. [doi]

Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic DevicesFarnaz Forooghifar, Amin Aminifar, Tomás Teijeiro, Amir Aminifar, Jesper Jeppesen, Sándor Beniczky, David Atienza. aicas 2021: 1-4 [doi]

Interpreting deep learning models for epileptic seizure detection on EEG signalsValentin Gabeff, Tomás Teijeiro, Marina Zapater, Leila Cammoun, Sylvain Rheims, Philippe Ryvlin, David Atienza. artmed, 117:102084, 2021. [doi]

Real-Time Personalized Atrial Fibrillation Prediction on Multi-Core Wearable SensorsElisabetta De Giovanni, Adriana Arza Valdés, Miguel Peón Quirós, Amir Aminifar, David Atienza. tetc, 9(4):1654-1666, 2021. [doi]

*Arman Iranfar, Adriana Arza 0001, David Atienza. embc 2021: 535-541 [doi]

EEG Correlates of Difficulty Levels in Dynamical Transitions of Simulated Flying and Mapping TasksPing-Keng Jao, Ricardo Chavarriaga, Fabio Dell'Agnola, Adriana Arza 0001, David Atienza, José del R. Millán. thms, 51(2):99-108, 2021. [doi]

SPARE: A Spectral Peak Recovery Algorithm for PPG Signals Pulsewave Reconstruction in Multimodal Wearable DevicesGiulio Masinelli, Fabio Dell'Agnola, Adriana Arza Valdés, David Atienza. sensors, 21(8):2725, 2021. [doi]

Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental HealthLara Orlandic, Adriana Arza Valdés, David Atienza. cbms 2021: 444-449 [doi]

ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power MarketsAli Pahlevan, Marina Zapater, Ayse K. Coskun, David Atienza. tsusc, 6(2):289-305, 2021. [doi]

Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure DetectionUna Pale, Tomás Teijeiro, David Atienza. embc 2021: 6361-6367 [doi]

ReBeatICG: Real-time Low-Complexity Beat-to-beat Impedance Cardiogram Delineation AlgorithmUna Pale, Nathan Müller, Adriana Arza 0001, David Atienza. embc 2021: 5618-5624 [doi]

EpilepsyGAN: Synthetic Epileptic Brain Activities With Privacy PreservationDamián Pascual, Alireza Amirshahi, Amir Aminifar, David Atienza, Philippe Ryvlin, Roger Wattenhofer. tbe, 68(8):2435-2446, 2021. [doi]

A Flexible In-Memory Computing Architecture for Heterogeneously Quantized CNNsFlavio Ponzina, Marco Rios, Giovanni Ansaloni, Alexandre Levisse, David Atienza. isvlsi 2021: 164-169 [doi]

2CNNs: Ensembles of Convolutional Neural Networks to Improve Robustness Against Memory Errors in Edge-Computing DevicesFlavio Ponzina, Miguel Peón Quirós, Andreas Burg, David Atienza. TC, 70(8):1199-1212, 2021. [doi]

Gem5-X: A Many-core Heterogeneous Simulation Platform for Architectural Exploration and OptimizationYasir Mahmood Qureshi, William Andrew Simon, Marina Zapater, Katzalin Olcoz, David Atienza. taco, 18(4), 2021. [doi]

Genome Sequence Alignment - Design Space Exploration for Optimal Performance and Energy ArchitecturesYasir Mahmood Qureshi, Jose Manuel Herruzo, Marina Zapater, Katzalin Olcoz, Sonia Gonzalez-Navarro, Oscar G. Plata, David Atienza. TC, 70(12):2218-2233, 2021. [doi]

Running Efficiently CNNs on the Edge Thanks to Hybrid SRAM-RRAM In-Memory ComputingMarco Rios, Flavio Ponzina, Giovanni Ansaloni, Alexandre Levisse, David Atienza. date 2021: 1881-1886 [doi]

Exact Neural Networks from Inexact Multipliers via Fibonacci Weight EncodingWilliam Andrew Simon, Valérian Ray, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, David Atienza. dac 2021: 805-810 [doi]

Mobility-Aware Multi-Objective Task Allocation for Wireless Sensor NetworksDominik Weikert, Christoph Steup, David Atienza, Sanaz Mostaghim. ssci 2021: 1-8 [doi]

2020

The RECIPE approach to challenges in deeply heterogeneous high performance systemsGiovanni Agosta, William Fornaciari, David Atienza, Ramon Canal, Alessandro Cilardo, José Flich Cardo, Carles Hernández, Michal Kulczewski, Giuseppe Massari, Rafael Tornero Gavilá, Marina Zapater. mam, 77:103185, 2020. [doi]

Message from the Technical Program Co-ChairsDavid Atienza, Subhasish Mitra, Manan Suri. vlsid 2020: [doi]

Predictive Reliability and Fault Management in Exascale Systems: State of the Art and PerspectivesRamon Canal, Carles Hernández, Rafael Tornero, Alessandro Cilardo, Giuseppe Massari, Federico Reghenzani, William Fornaciari, Marina Zapater, David Atienza, Ariel Oleksiak, Wojciech Piatek, Jaume Abella. ACM Comput. Surv., 53(5), 2020. [doi]

Resource Management for Power-Constrained HEVC Transcoding Using Reinforcement LearningLuis Costero, Arman Iranfar, Marina Zapater, Francisco D. Igual, Katzalin Olcoz, David Atienza. tpds, 31(12):2834-2850, 2020. [doi]

Cognitive Workload Monitoring in Virtual Reality Based Rescue Missions with DronesFabio Dell'Agnola, Niloofar Momeni, Adriana Arza, David Atienza. hci 2020: 397-409 [doi]

Impact of Memory Voltage Scaling on Accuracy and Resilience of Deep Learning Based Edge DevicesBenoît W. Denkinger, Flavio Ponzina, Soumya Basu 0002, Andrea Bonetti, Szabolcs Balási, Martino Ruggiero, Miguel Peón Quirós, Davide Rossi, Andreas Burg, David Atienza. dt, 37(2):84-92, 2020. [doi]

Analysis of Functional Errors Produced by Long-Term Workload-Dependent BTI Degradation in Ultralow Power ProcessorsLoris Duch, Miguel Peón Quirós, Pieter Weckx, Alexandre Levisse, Rubén Braojos, Francky Catthoor, David Atienza. tvlsi, 28(10):2122-2133, 2020. [doi]

Modular Design and Optimization of Biomedical Applications for Ultralow Power Heterogeneous PlatformsElisabetta De Giovanni, Fabio Montagna, Benoît W. Denkinger, Simone Machetti, Miguel Peón Quirós, Simone Benatti, Davide Rossi, Luca Benini, David Atienza. tcad, 39(11):3821-3832, 2020. [doi]

Dynamic Thermal Management with Proactive Fan Speed Control Through Reinforcement LearningArman Iranfar, Federico Terraneo, Gabor Csordas, Marina Zapater, William Fornaciari, David Atienza. date 2020: 418-423 [doi]

Write Termination Circuits for RRAM: A Holistic Approach From Technology to Application ConsiderationsAlexandre Levisse, Marc Bocquet, Marco Rios, Mouhamad Alayan, Mathieu Moreau, Etienne Nowak, Gabriel Molas, Elisa Vianello, David Atienza, Jean Michel Portal. access, 8:109297-109308, 2020. [doi]

Exploration Methodology for BTI-Induced Failures on RRAM-Based Edge AI SystemsAlexandre Levisse, Marco Rios, Miguel Peón Quirós, David Atienza. icassp 2020: 1549-1552 [doi]

Self-Aware Machine Learning for Multimodal Workload Monitoring during Manual Labor on Edge Wearable SensorsGiulio Masinelli, Farnaz Forooghifar, Adriana Arza, David Atienza, Amir Aminifar. dt, 37(5):58-66, 2020. [doi]

Enabling Optimal Power Generation of Flow Cell Arrays in 3D MPSoCs with On-Chip Switched Capacitor ConvertersHalima Najibi, Jorge Hunter, Alexandre Levisse, Marina Zapater, Miroslav Vasic, David Atienza. isvlsi 2020: 18-23 [doi]

Towards Deeply Scaled 3D MPSoCs with Integrated Flow Cell Array TechnologyHalima Najibi, Alexandre Levisse, Marina Zapater, Mohamed M. Sabry Aly, David Atienza. glvlsi 2020: 513-518 [doi]

ISLPED 2020: An Experience of Virtual Conference during COVID-19 TimeQinru Qiu, David Atienza. dt, 37(6):96-98, 2020. [doi]

BLADE: An in-Cache Computing Architecture for Edge DevicesWilliam Andrew Simon, Yasir Mahmood Qureshi, Marco Rios, Alexandre Levisse, Marina Zapater, David Atienza. TC, 69(9):1349-1363, 2020. [doi]

A Hybrid Cache HW/SW Stack for Optimizing Neural Network Runtime, Power and EnduranceWilliam Andrew Simon, Alexandre Levisse, Marina Zapater, David Atienza. vlsi 2020: 94-99 [doi]

Event-Triggered Sensing for High-Quality and Low-Power Cardiovascular Monitoring SystemsGrégoire Surrel, Tomás Teijeiro, Amir Aminifar, David Atienza, Matthieu Chevrier. dt, 37(5):85-93, 2020. [doi]

Noise-Resilient and Interpretable Epileptic Seizure DetectionAnthony Hitchcock Thomas, Amir Aminifar, David Atienza. iscas 2020: 1-5 [doi]

RRAM-VAC: A Variability-Aware Controller for RRAM-based Memory ArchitecturesShikhar Tuli, Marco Rios, Alexandre Levisse, David Atienza. aspdac 2020: 181-186 [doi]

Robust Epileptic Seizure Detection on Wearable Systems with Reduced False-Alarm RateRenato Zanetti, Amir Aminifar, David Atienza. embc 2020: 4248-4251 [doi]

An Event-Based System for Low-Power ECG QRS Complex DetectionSilvio Zanoli, Tomás Teijeiro, Fabio Montagna, David Atienza. date 2020: 258-263 [doi]

2019

Challenges in Deeply Heterogeneous High Performance SystemsGiovanni Agosta, William Fornaciari, David Atienza, Ramon Canal, Alessandro Cilardo, Jose Flich, Carles Hernández, Michal Kulczewski, Giuseppe Massari, Rafael Tornero Gavilá, Marina Zapater. dsd 2019: 428-435 [doi]

A QoS and Container-Based Approach for Energy Saving and Performance Profiling in Multi-Core ServersWellington Silva de Souza, Arman Iranfar, Anderson B. N. da Silva, Marina Zapater, Samuel Xavier de Souza, Katzalin Olcoz, David Atienza. vlsi 2019: 230-231 [doi]

i-DPs CGRA: An Interleaved-Datapaths Reconfigurable Accelerator for Embedded Bio-Signal ProcessingLoris Duch, Soumya Basu, Miguel Peón Quirós, Giovanni Ansaloni, Laura Pozzi, David Atienza. esl, 11(2):50-53, 2019. [doi]

Tailoring SVM Inference for Resource-Efficient ECG-Based Epilepsy MonitorsLorenzo Ferretti, Giovanni Ansaloni, Laura Pozzi, Amir Aminifar, David Atienza, Leila Cammoun, Philippe Ryvlin. date 2019: 948-951 [doi]

Resource-Aware Distributed Epilepsy Monitoring Using Self-Awareness From Edge to CloudFarnaz Forooghifar, Amir Aminifar, David Atienza. tbcas, 13(6):1338-1350, 2019. [doi]

Functionality Enhanced Memories for Edge-AI Embedded SystemsAlexandre Levisse, Marco Rios, William Andrew Simon, Pierre-Emmanuel Gaillardon, David Atienza. nvmts 2019: 1-4 [doi]

Multi-Modal Acute Stress Recognition Using Off-the-Shelf Wearable DevicesVictoriano Montesinos, Fabio Dell'Agnola, Adriana Arza, Amir Aminifar, David Atienza. embc 2019: 2196-2201 [doi]

Gem5-X: A Gem5-Based System Level Simulation Framework to Optimize Many-Core PlatformsYasir Mahmood Qureshi, William Andrew Simon, Marina Zapater, David Atienza, Katzalin Olcoz. springsim 2019: 1-12 [doi]

BLADE: A BitLine Accelerator for Devices on the EdgeWilliam Andrew Simon, Yasir Mahmood Qureshi, Alexandre Levisse, Marina Zapater, David Atienza. glvlsi 2019: 207-212 [doi]

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