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David Atienza
David Atienza Alonso
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- affiliation: Swiss Federal Institute of Technology in Lausanne, Switzerland
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2020 – today
- 2023
- [j117]Silvio Zanoli, Giovanni Ansaloni, Tomás Teijeiro, David Atienza:
Event-based sampled ECG morphology reconstruction through self-similarity. Comput. Methods Programs Biomed. 240: 107712 (2023) - [j116]Lara Orlandic, Tomás Teijeiro, David Atienza:
A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification. Comput. Methods Programs Biomed. 241: 107743 (2023) - [j115]Silvio Zanoli
, Flavio Ponzina
, Tomás Teijeiro
, Alexandre Levisse
, David Atienza
:
An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(2): 489-501 (2023) - [j114]Elisabetta De Giovanni
, Tomás Teijeiro
, Grégoire P. Millet
, David Atienza
:
Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise. IEEE Trans. Biomed. Eng. 70(3): 941-953 (2023) - [j113]Joshua Klein
, Irem Boybat
, Yasir Mahmood Qureshi
, Martino Dazzi
, Alexandre Levisse
, Giovanni Ansaloni
, Marina Zapater
, Abu Sebastian
, David Atienza
:
ALPINE: Analog In-Memory Acceleration With Tight Processor Integration for Deep Learning. IEEE Trans. Computers 72(7): 1985-1998 (2023) - [j112]Benoît Walter Denkinger
, Miguel Peón Quirós
, Mario Konijnenburg
, David Atienza
, Francky Catthoor
:
Acceleration of Control Intensive Applications on Coarse-Grained Reconfigurable Arrays for Embedded Systems. IEEE Trans. Computers 72(9): 2548-2560 (2023) - [j111]Halima Najibi, Alexandre Levisse
, Giovanni Ansaloni
, Marina Zapater
, Miroslav Vasic
, David Atienza
:
Thermal and Voltage-Aware Performance Management of 3-D MPSoCs With Flow Cell Arrays and Integrated SC Converters. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(1): 2-15 (2023) - [j110]Marco Rios
, Flavio Ponzina
, Alexandre Levisse
, Giovanni Ansaloni
, David Atienza
:
Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference. IEEE Trans. Emerg. Top. Comput. 11(2): 358-372 (2023) - [j109]Alireza Amirshahi
, Anthony Hitchcock Thomas, Amir Aminifar
, Tajana Rosing, David Atienza
:
M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities. IEEE J. Biomed. Health Informatics 27(1): 202-214 (2023) - [j108]Sergi Abadal, Robert Guirado, Hamidreza Taghvaee, Akshay Jain, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max C. Lemme, Joshua Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian:
Graphene-Based Wireless Agile Interconnects for Massive Heterogeneous Multi-Chip Processors. IEEE Wirel. Commun. 30(4): 162-169 (2023) - [c229]Baichuan Huang, Renato Zanetti, Azra Abtahi, David Atienza, Amir Aminifar:
EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems. AICAS 2023: 1-5 - [c228]Rafael Medina
, Joshua Kein, Giovanni Ansaloni, Marina Zapater, Sergi Abadal, Eduard Alarcón, David Atienza:
System-Level Exploration of In-Package Wireless Communication for Multi-Chiplet Platforms. ASP-DAC 2023: 561-566 - [c227]Alireza Amirshahi, Joshua Alexander Harrison Klein, Giovanni Ansaloni, David Atienza:
TiC-SAT: Tightly-Coupled Systolic Accelerator for Transformers. ASP-DAC 2023: 657-663 - [c226]Pasquale Davide Schiavone
, Simone Machetti
, Miguel Peón Quirós
, Jose Miranda
, Benoît W. Denkinger
, Thomas Christoph Müller
, Ruben Rodríguez
, Saverio Nasturzio
, David Atienza Alonso
:
X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller. CF 2023: 379-380 - [c225]Rubén Rodríguez Álvarez
, Benoît W. Denkinger
, Juan Sapriza
, José Miranda Calero
, Giovanni Ansaloni
, David Atienza Alonso
:
An Open-Hardware Coarse-Grained Reconfigurable Array for Edge Computing. CF 2023: 391-392 - [c224]Michael T. Niemier, Xiaobo Sharon Hu, Liu Liu, Mohammad Mehdi Sharifi, Ian O'Connor, David Atienza, Giovanni Ansaloni, Can Li, Asif Khan, Daniel C. Ralph:
Cross Layer Design for the Predictive Assessment of Technology-Enabled Architectures. DATE 2023: 1-10 - [i25]Una Pale, Tomás Teijeiro, David Atienza:
Importance of methodological choices in data manipulation for validating epileptic seizure detection models. CoRR abs/2302.10672 (2023) - [i24]Una Pale, Tomás Teijeiro, David Atienza:
Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing. CoRR abs/2303.14745 (2023) - [i23]Jingwei Sun, Zhixu Du, Anna Dai, Saleh Baghersalimi, Alireza Amirshahi, David Atienza, Yiran Chen:
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties. CoRR abs/2303.18178 (2023) - 2022
- [j107]David Atienza, Concha Bielza, Pedro Larrañaga:
PyBNesian: An extensible python package for Bayesian networks. Neurocomputing 504: 204-209 (2022) - [j106]David Atienza, Concha Bielza
, Pedro Larrañaga
:
Semiparametric Bayesian networks. Inf. Sci. 584: 564-582 (2022) - [j105]Flavio Ponzina
, Simone Machetti
, Marco Rios
, Benoît Walter Denkinger
, Alexandre Levisse
, Giovanni Ansaloni
, Miguel Peón Quirós
, David Atienza
:
A Hardware/Software Co-Design Vision for Deep Learning at the Edge. IEEE Micro 42(6): 48-54 (2022) - [j104]Farnaz Forooghifar
, Amir Aminifar
, Leila Cammoun, Ilona Wisniewski
, Carolina Ciumas, Philippe Ryvlin, David Atienza:
A Self-Aware Epilepsy Monitoring System for Real-Time Epileptic Seizure Detection. Mob. Networks Appl. 27(2): 677-690 (2022) - [j103]Renato Zanetti
, Adriana Arza
, Amir Aminifar
, David Atienza
:
Real-Time EEG-Based Cognitive Workload Monitoring on Wearable Devices. IEEE Trans. Biomed. Eng. 69(1): 265-277 (2022) - [j102]Niloofar Momeni
, Adriana Arza Valdés
, João Rodrigues
, Carmen Sandi, David Atienza
:
CAFS: Cost-Aware Features Selection Method for Multimodal Stress Monitoring on Wearable Devices. IEEE Trans. Biomed. Eng. 69(3): 1072-1084 (2022) - [j101]Darong Huang
, Ali Pahlevan
, Marina Zapater
, David Atienza
:
COCKTAIL: Multicore Co-Optimization Framework With Proactive Reliability Management. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(2): 386-399 (2022) - [j100]Arman Iranfar
, Marina Zapater
, David Atienza
:
Multiagent Reinforcement Learning for Hyperparameter Optimization of Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 1034-1047 (2022) - [j99]Federico Terraneo
, Alberto Leva
, William Fornaciari
, Marina Zapater
, David Atienza
:
3D-ICE 3.0: Efficient Nonlinear MPSoC Thermal Simulation With Pluggable Heat Sink Models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 1062-1075 (2022) - [j98]Darong Huang
, Ali Pahlevan
, Luis Costero
, Marina Zapater
, David Atienza
:
Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5596-5609 (2022) - [j97]Saleh Baghersalimi
, Tomás Teijeiro
, David Atienza
, Amir Aminifar
:
Personalized Real-Time Federated Learning for Epileptic Seizure Detection. IEEE J. Biomed. Health Informatics 26(2): 898-909 (2022) - [j96]Fabio Dell'Agnola
, Ping-Keng Jao
, Adriana Arza
, Ricardo Chavarriaga
, José del R. Millán
, Dario Floreano
, David Atienza
:
Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions With Drones. IEEE J. Biomed. Health Informatics 26(9): 4751-4762 (2022) - [j95]Kawsar Haghshenas
, Ali Pahlevan
, Marina Zapater
, Siamak Mohammadi
, David Atienza
:
MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers. IEEE Trans. Serv. Comput. 15(1): 30-44 (2022) - [c223]Una Pale, Tomás Teijeiro, David Atienza:
ExG Signal Feature Selection Using Hyperdimensional Computing Encoding. BIBM 2022: 1688-1693 - [c222]Flavio Ponzina, Miguel Peón Quirós, Giovanni Ansaloni, David Atienza:
An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs. COINS 2022: 1-6 - [c221]Benoît W. Denkinger, Miguel Peón Quirós, Mario Konijnenburg, David Atienza, Francky Catthoor:
VWR2A: a very-wide-register reconfigurable-array architecture for low-power embedded devices. DAC 2022: 895-900 - [c220]Lorenzo Ferretti, Giovanni Ansaloni, Renaud Marquis, Tomás Teijeiro, Philippe Ryvlin, David Atienza, Laura Pozzi:
INCLASS: Incremental Classification Strategy for Self-Aware Epileptic Seizure Detection. DATE 2022: 1449-1454 - [c219]Una Pale, Tomás Teijeiro, David Atienza:
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection. EMBC 2022: 4076-4082 - [c218]Halima Najibi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, David Atienza:
Thermal and Power-Aware Run-time Performance Management of 3D MPSoCs with Integrated Flow Cell Arrays. ACM Great Lakes Symposium on VLSI 2022: 223-228 - [c217]Marco Rios, Flavio Ponzina, Giovanni Ansaloni, Alexandre Levisse, David Atienza:
Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge. ACM Great Lakes Symposium on VLSI 2022: 249-254 - [c216]William Andrew Simon, Una Pale, Tomás Teijeiro
, David Atienza:
HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration. ICCAD 2022: 83:1-83:8 - [c215]Rafael Medina
, Joshua Kein, Yasir Mahmood Qureshi, Marina Zapater, Giovanni Ansaloni, David Atienza:
Full System Exploration of On-Chip Wireless Communication on Many-Core Architectures. LASCAS 2022: 1-4 - [p3]Marco Aldinucci, David Atienza, Federico Bolelli, Mónica Caballero, Iacopo Colonnelli, José Flich, Jon Ander Gómez
, David González, Costantino Grana, Marco Grangetto, Simone Leo, Pedro López, Dana Oniga, Roberto Paredes, Luca Pireddu, Eduardo Quiñones, Tatiana Silva, Enzo Tartaglione, Marina Zapater:
The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures. Technologies and Applications for Big Data Value 2022: 183-202 - [d1]David Atienza, Concha Bielza, Javier Diaz-Rozo, Pedro Larrañaga:
Anomaly Detection with Laser Heat Treatment Thermal Videos. IEEE DataPort, 2022 - [i22]Una Pale, Tomás Teijeiro, David Atienza:
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection. CoRR abs/2201.09759 (2022) - [i21]Benoît Walter Denkinger, Miguel Peón Quirós, Mario Konijnenburg, David Atienza, Francky Catthoor:
VWR2A: A Very-Wide-Register Reconfigurable-Array Architecture for Low-Power Embedded Devices. CoRR abs/2204.05009 (2022) - [i20]Una Pale
, Tomás Teijeiro, David Atienza:
Hyperdimensional computing encoding for feature selection on the use case of epileptic seizure detection. CoRR abs/2205.07654 (2022) - [i19]Joshua Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza:
ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning. CoRR abs/2205.10042 (2022) - [i18]William Andrew Simon, Una Pale
, Tomás Teijeiro, David Atienza:
HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration. CoRR abs/2206.04746 (2022) - [i17]Saleh Baghersalimi, Alireza Amirshahi, Farnaz Forooghifar, Tomás Teijeiro, Amir Aminifar, David Atienza:
Many-to-One Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Internet of Things Systems. CoRR abs/2208.00885 (2022) - [i16]Lara Orlandic, Tomás Teijeiro, David Atienza:
A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification. CoRR abs/2209.04360 (2022) - [i15]Marco Rios, Flavio Ponzina, Alexandre Levisse, Giovanni Ansaloni, David Atienza:
Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference. CoRR abs/2209.06108 (2022) - [i14]Pengbo Yu, Alexandre Levisse, Mohit Gupta, Timon Evenblij, Giovanni Ansaloni, Francky Catthoor, David Atienza:
A Soft SIMD Based Energy Efficient Computing Microarchitecture. CoRR abs/2212.09358 (2022) - 2021
- [j94]Valentin Gabeff
, Tomás Teijeiro
, Marina Zapater
, Leila Cammoun, Sylvain Rheims
, Philippe Ryvlin
, David Atienza
:
Interpreting deep learning models for epileptic seizure detection on EEG signals. Artif. Intell. Medicine 117: 102084 (2021) - [j93]Ramon Canal
, Carles Hernández, Rafael Tornero, Alessandro Cilardo, Giuseppe Massari, Federico Reghenzani
, William Fornaciari
, Marina Zapater, David Atienza, Ariel Oleksiak
, Wojciech Piatek, Jaume Abella
:
Predictive Reliability and Fault Management in Exascale Systems: State of the Art and Perspectives. ACM Comput. Surv. 53(5): 95:1-95:32 (2021) - [j92]Giulio Masinelli
, Fabio Dell'Agnola
, Adriana Arza Valdés
, David Atienza
:
SPARE: A Spectral Peak Recovery Algorithm for PPG Signals Pulsewave Reconstruction in Multimodal Wearable Devices. Sensors 21(8): 2725 (2021) - [j91]Yasir Mahmood Qureshi
, William Andrew Simon, Marina Zapater
, Katzalin Olcoz
, David Atienza
:
Gem5-X: A Many-core Heterogeneous Simulation Platform for Architectural Exploration and Optimization. ACM Trans. Archit. Code Optim. 18(4): 44:1-44:27 (2021) - [j90]Fabio Dell'Agnola
, Una Pale
, Rodrigo Marino
, Adriana Arza
, David Atienza
:
MBioTracker: Multimodal Self-Aware Bio-Monitoring Wearable System for Online Workload Detection. IEEE Trans. Biomed. Circuits Syst. 15(5): 994-1007 (2021) - [j89]Damián Pascual
, Alireza Amirshahi, Amir Aminifar
, David Atienza
, Philippe Ryvlin, Roger Wattenhofer:
EpilepsyGAN: Synthetic Epileptic Brain Activities With Privacy Preservation. IEEE Trans. Biomed. Eng. 68(8): 2435-2446 (2021) - [j88]Flavio Ponzina
, Miguel Peón Quirós
, Andreas Burg
, David Atienza
:
E2CNNs: Ensembles of Convolutional Neural Networks to Improve Robustness Against Memory Errors in Edge-Computing Devices. IEEE Trans. Computers 70(8): 1199-1212 (2021) - [j87]Yasir Mahmood Qureshi
, Jose Manuel Herruzo
, Marina Zapater
, Katzalin Olcoz
, Sonia Gonzalez-Navarro
, Oscar G. Plata
, David Atienza
:
Genome Sequence Alignment - Design Space Exploration for Optimal Performance and Energy Architectures. IEEE Trans. Computers 70(12): 2218-2233 (2021) - [j86]Rajesh K. Gupta, David Atienza:
Editorial. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1009 (2021) - [j85]Elisabetta De Giovanni
, Adriana Arza Valdés
, Miguel Peón Quirós
, Amir Aminifar
, David Atienza
:
Real-Time Personalized Atrial Fibrillation Prediction on Multi-Core Wearable Sensors. IEEE Trans. Emerg. Top. Comput. 9(4): 1654-1666 (2021) - [j84]Ping-Keng Jao
, Ricardo Chavarriaga
, Fabio Dell'Agnola
, Adriana Arza
, David Atienza
, José del R. Millán
:
EEG Correlates of Difficulty Levels in Dynamical Transitions of Simulated Flying and Mapping Tasks. IEEE Trans. Hum. Mach. Syst. 51(2): 99-108 (2021) - [j83]Ali Pahlevan
, Marina Zapater
, Ayse K. Coskun
, David Atienza
:
ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power Markets. IEEE Trans. Sustain. Comput. 6(2): 289-305 (2021) - [c214]Farnaz Forooghifar, Amin Aminifar, Tomás Teijeiro, Amir Aminifar, Jesper Jeppesen, Sándor Beniczky, David Atienza:
Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices. AICAS 2021: 1-4 - [c213]Lara Orlandic, Adriana Arza Valdés, David Atienza:
Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental Health. CBMS 2021: 444-449 - [c212]Joshua Klein, Alexandre Levisse, Giovanni Ansaloni, David Atienza, Marina Zapater, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian
, Davide Rossi, Francesco Conti, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max C. Lemme, Akshay Jain, Robert Guirado, Hamidreza Taghvaee
, Sergi Abadal:
Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH). CF 2021: 191-193 - [c211]William Andrew Simon, Valérian Ray, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, David Atienza:
Exact Neural Networks from Inexact Multipliers via Fibonacci Weight Encoding. DAC 2021: 805-810 - [c210]Marco Rios, Flavio Ponzina, Giovanni Ansaloni, Alexandre Levisse, David Atienza:
Running Efficiently CNNs on the Edge Thanks to Hybrid SRAM-RRAM In-Memory Computing. DATE 2021: 1881-1886 - [c209]Arman Iranfar, Adriana Arza, David Atienza:
ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals*. EMBC 2021: 535-541 - [c208]Una Pale
, Nathan Müller, Adriana Arza, David Atienza:
ReBeatICG: Real-time Low-Complexity Beat-to-beat Impedance Cardiogram Delineation Algorithm. EMBC 2021: 5618-5624 - [c207]Una Pale
, Tomás Teijeiro
, David Atienza:
Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection. EMBC 2021: 6361-6367 - [c206]Flavio Ponzina, Marco Rios, Giovanni Ansaloni, Alexandre Levisse, David Atienza:
A Flexible In-Memory Computing Architecture for Heterogeneously Quantized CNNs. ISVLSI 2021: 164-169 - [c205]Dominik Weikert, Christoph Steup, David Atienza, Sanaz Mostaghim
:
Mobility-Aware Multi-Objective Task Allocation for Wireless Sensor Networks. SSCI 2021: 1-8 - [i13]Giovanni Agosta, William Fornaciari, David Atienza, Ramon Canal, Alessandro Cilardo, José Flich Cardo, Carles Hernández Luz, Michal Kulczewski, Giuseppe Massari, Rafael Tornero Gavilá, Marina Zapater:
The RECIPE Approach to Challenges in Deeply Heterogeneous High Performance Systems. CoRR abs/2103.03044 (2021) - [i12]Arman Iranfar, Adriana Arza, David Atienza:
ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals. CoRR abs/2104.14278 (2021) - [i11]Una Pale, Tomás Teijeiro, David Atienza:
Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection. CoRR abs/2105.00934 (2021) - [i10]Lara Orlandic, Adriana Arza Valdés, David Atienza:
Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental Health. CoRR abs/2105.02808 (2021) - [i9]David Atienza, Concha Bielza, Pedro Larrañaga:
Semiparametric Bayesian Networks. CoRR abs/2109.03008 (2021) - [i8]Una Pale, Tomás Teijeiro, David Atienza:
Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection. CoRR abs/2111.08463 (2021) - [i7]Elisabetta De Giovanni, Tomás Teijeiro, Grégoire P. Millet, David Atienza:
Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise. CoRR abs/2112.04369 (2021) - 2020
- [j82]Alexandre Levisse
, Marc Bocquet, Marco Rios, Mouhamad Alayan, Mathieu Moreau
, Etienne Nowak, Gabriel Molas, Elisa Vianello, David Atienza, Jean-Michel Portal:
Write Termination Circuits for RRAM: A Holistic Approach From Technology to Application Considerations. IEEE Access 8: 109297-109308 (2020) - [j81]Benoît W. Denkinger
, Flavio Ponzina
, Soumya Basu, Andrea Bonetti
, Szabolcs Balási
, Martino Ruggiero, Miguel Peón Quirós
, Davide Rossi
, Andreas Burg
, David Atienza
:
Impact of Memory Voltage Scaling on Accuracy and Resilience of Deep Learning Based Edge Devices. IEEE Des. Test 37(2): 84-92 (2020) - [j80]Giulio Masinelli
, Farnaz Forooghifar
, Adriana Arza
, David Atienza
, Amir Aminifar
:
Self-Aware Machine Learning for Multimodal Workload Monitoring during Manual Labor on Edge Wearable Sensors. IEEE Des. Test 37(5): 58-66 (2020) - [j79]Grégoire Surrel
, Tomás Teijeiro
, Amir Aminifar
, David Atienza
, Matthieu Chevrier
:
Event-Triggered Sensing for High-Quality and Low-Power Cardiovascular Monitoring Systems. IEEE Des. Test 37(5): 85-93 (2020) - [j78]Qinru Qiu
, David Atienza
:
ISLPED 2020: An Experience of Virtual Conference during COVID-19 Time. IEEE Des. Test 37(6): 96-98 (2020) - [j77]Giovanni Agosta, William Fornaciari
, David Atienza, Ramon Canal, Alessandro Cilardo, José Flich Cardo, Carles Hernández, Michal Kulczewski, Giuseppe Massari, Rafael Tornero Gavilá, Marina Zapater:
The RECIPE approach to challenges in deeply heterogeneous high performance systems. Microprocess. Microsystems 77: 103185 (2020) - [j76]William Andrew Simon
, Yasir Mahmood Qureshi
, Marco Rios, Alexandre Levisse
, Marina Zapater
, David Atienza
:
BLADE: An in-Cache Computing Architecture for Edge Devices. IEEE Trans. Computers 69(9): 1349-1363 (2020) - [j75]Elisabetta De Giovanni
, Fabio Montagna, Benoît W. Denkinger, Simone Machetti, Miguel Peón Quirós, Simone Benatti, Davide Rossi, Luca Benini, David Atienza:
Modular Design and Optimization of Biomedical Applications for Ultralow Power Heterogeneous Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3821-3832 (2020) - [j74]Luis Costero
, Arman Iranfar
, Marina Zapater
, Francisco D. Igual
, Katzalin Olcoz
, David Atienza
:
Resource Management for Power-Constrained HEVC Transcoding Using Reinforcement Learning. IEEE Trans. Parallel Distributed Syst. 31(12): 2834-2850 (2020) - [j73]Loris Duch
, Miguel Peón Quirós
, Pieter Weckx, Alexandre Levisse
, Rubén Braojos, Francky Catthoor
, David Atienza
:
Analysis of Functional Errors Produced by Long-Term Workload-Dependent BTI Degradation in Ultralow Power Processors. IEEE Trans. Very Large Scale Integr. Syst. 28(10): 2122-2133 (2020) - [c204]Shikhar Tuli, Marco Rios, Alexandre Levisse, David Atienza:
RRAM-VAC: A Variability-Aware Controller for RRAM-based Memory Architectures. ASP-DAC 2020: 181-186 - [c203]Silvio Zanoli, Tomás Teijeiro
, Fabio Montagna, David Atienza:
An Event-Based System for Low-Power ECG QRS Complex Detection. DATE 2020: 258-263 - [c202]Arman Iranfar, Federico Terraneo
, Gabor Csordas, Marina Zapater, William Fornaciari
, David Atienza:
Dynamic Thermal Management with Proactive Fan Speed Control Through Reinforcement Learning. DATE 2020: 418-423 - [c201]Renato Zanetti
, Amir Aminifar, David Atienza:
Robust Epileptic Seizure Detection on Wearable Systems with Reduced False-Alarm Rate. EMBC 2020: 4248-4251 - [c200]Halima Najibi, Alexandre Levisse, Marina Zapater, Mohamed M. Sabry Aly, David Atienza:
Towards Deeply Scaled 3D MPSoCs with Integrated Flow Cell Array Technology. ACM Great Lakes Symposium on VLSI 2020: 513-518 - [c199]Fabio Dell'Agnola
, Niloofar Momeni
, Adriana Arza
, David Atienza
:
Cognitive Workload Monitoring in Virtual Reality Based Rescue Missions with Drones. HCI (10) 2020: 397-409 - [c198]Alexandre Levisse, Marco Rios, Miguel Peón Quirós, David Atienza:
Exploration Methodology for BTI-Induced Failures on RRAM-Based Edge AI Systems. ICASSP 2020: 1549-1552 - [c197]Anthony Hitchcock Thomas, Amir Aminifar, David Atienza:
Noise-Resilient and Interpretable Epileptic Seizure Detection. ISCAS 2020: 1-5 - [c196]Halima Najibi, Jorge Hunter, Alexandre Levisse, Marina Zapater, Miroslav Vasic, David Atienza:
Enabling Optimal Power Generation of Flow Cell Arrays in 3D MPSoCs with On-Chip Switched Capacitor Converters. ISVLSI 2020: 18-23 - [c195]William Andrew Simon, Alexandre Levisse, Marina Zapater, David Atienza:
A Hybrid Cache HW/SW Stack for Optimizing Neural Network Runtime, Power and Endurance. VLSI-SOC 2020: 94-99 - [c194]David Atienza, Subhasish Mitra, Manan Suri:
Message from the Technical Program Co-Chairs. VLSID 2020: i - [e6]David Atienza Alonso, Qinru Qiu, Sherief Reda, Yiran Chen:
ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, Massachusetts, August 10-12, 2020. ACM 2020, ISBN 978-1-4503-7053-0 [contents] - [i6]Lara Orlandic, Tomás Teijeiro, David Atienza:
The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms. CoRR abs/2009.11644 (2020) - [i5]Sergi Abadal, Robert Guirado
, Hamidreza Taghvaee, Akshay Jain, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed Elsayed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max C. Lemme, Joshua Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian:
Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors. CoRR abs/2011.04107 (2020) - [i4]Valentin Gabeff, Tomás Teijeiro, Marina Zapater, Leila Cammoun, Sylvain Rheims, Philippe Ryvlin, David Atienza:
Interpreting Deep Learning Models for Epileptic Seizure Detection on EEG signals. CoRR abs/2012.11933 (2020)
2010 – 2019
- 2019
- [j72]