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David Atienza Alonso
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- affiliation: Swiss Federal Institute of Technology in Lausanne, Switzerland
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2020 – today
- 2022
[j103]David Atienza, Concha Bielza, Pedro Larrañaga:
Semiparametric Bayesian networks. Inf. Sci. 584: 564-582 (2022)- [j102]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) - [j101]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) - [j100]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) - [j99]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) - [j98]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) - [j97]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) - [j96]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) - [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) - [c216]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 - [c215]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 - [c214]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 - [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 - [i18]Una Pale, Tomás Teijeiro, David Atienza:
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection. CoRR abs/2201.09759 (2022) - [i17]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) - [i16]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) - [i15]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) - [i14]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) - 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]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) - [j92]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) - [j91]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) - [j90]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) - [j89]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) - [j88]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) - [j87]Rajesh K. Gupta, David Atienza:
Editorial. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1009 (2021) - [j86]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) - [j85]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) - [j84]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) - [c213]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 - [c212]Lara Orlandic, Adriana Arza Valdés, David Atienza:
Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental Health. CBMS 2021: 444-449 - [c211]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 - [c210]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 - [c209]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 - [c208]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 - [c207]Una Pale, Nathan Müller, Adriana Arza, David Atienza:
ReBeatICG: Real-time Low-Complexity Beat-to-beat Impedance Cardiogram Delineation Algorithm. EMBC 2021: 5618-5624 - [c206]Una Pale, Tomás Teijeiro, David Atienza:
Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection. EMBC 2021: 6361-6367 - [c205]Flavio Ponzina, Marco Rios, Giovanni Ansaloni, Alexandre Levisse, David Atienza:
A Flexible In-Memory Computing Architecture for Heterogeneously Quantized CNNs. ISVLSI 2021: 164-169 - [c204]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
- [j83]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) - [j82]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 (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) - [c203]Shikhar Tuli, Marco Rios, Alexandre Levisse, David Atienza:
RRAM-VAC: A Variability-Aware Controller for RRAM-based Memory Architectures. ASP-DAC 2020: 181-186 - [c202]Silvio Zanoli, Tomás Teijeiro, Fabio Montagna, David Atienza:
An Event-Based System for Low-Power ECG QRS Complex Detection. DATE 2020: 258-263 - [c201]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 - [c200]Renato Zanetti, Amir Aminifar, David Atienza:
Robust Epileptic Seizure Detection on Wearable Systems with Reduced False-Alarm Rate. EMBC 2020: 4248-4251 - [c199]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 - [c198]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 - [c197]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 - [c196]Anthony Hitchcock Thomas, Amir Aminifar, David Atienza:
Noise-Resilient and Interpretable Epileptic Seizure Detection. ISCAS 2020: 1-5 - [c195]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 - [c194]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 - [c193]David Atienza, Subhasish Mitra, Manan Suri:
Message from the Technical Program Co-Chairs. VLSI Design 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]Loris Duch, Soumya Basu, Miguel Peón Quirós, Giovanni Ansaloni, Laura Pozzi, David Atienza:
i-DPs CGRA: An Interleaved-Datapaths Reconfigurable Accelerator for Embedded Bio-Signal Processing. IEEE Embed. Syst. Lett. 11(2): 50-53 (2019) - [j71]Farnaz Forooghifar, Amir Aminifar, David Atienza:
Resource-Aware Distributed Epilepsy Monitoring Using Self-Awareness From Edge to Cloud. IEEE Trans. Biomed. Circuits Syst. 13(6): 1338-1350 (2019) - [c192]William Andrew Simon, Juan Galicia, Alexandre Levisse, Marina Zapater, David Atienza:
A Fast, Reliable and Wide-Voltage-Range In-Memory Computing Architecture. DAC 2019: 83 - [c191]Arman Iranfar, Ali Pahlevan, Marina Zapater, David Atienza:
Enhancing Two-Phase Cooling Efficiency through Thermal-Aware Workload Mapping for Power-Hungry Servers. DATE 2019: 66-71 - [c190]Luis Costero, Arman Iranfar, Marina Zapater, Francisco D. Igual, Katzalin Olcoz, David Atienza:
MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding. DATE 2019: 558-563 - [c189]Damian Pascual, Amir Aminifar, David Atienza:
A Self-Learning Methodology for Epileptic Seizure Detection with Minimally-Supervised Edge Labeling. DATE 2019: 764-769 - [c188]Lorenzo Ferretti, Giovanni Ansaloni, Laura Pozzi, Amir Aminifar, David Atienza, Leila Cammoun, Philippe Ryvlin:
Tailoring SVM Inference for Resource-Efficient ECG-Based Epilepsy Monitors. DATE 2019: 948-951 - [c187]Giovanni Agosta, William Fornaciari, David Atienza, Ramon Canal, Alessandro Cilardo, Jose Flich, Carles Hernández, Michal Kulczewski, Giuseppe Massari, Rafael Tornero Gavilá, Marina Zapater:
Challenges in Deeply Heterogeneous High Performance Systems. DSD 2019: 428-435 - [c186]Victoriano Montesinos, Fabio Dell'Agnola, Adriana Arza, Amir Aminifar, David Atienza:
Multi-Modal Acute Stress Recognition Using Off-the-Shelf Wearable Devices. EMBC 2019: 2196-2201 - [c185]Lara Orlandic, Elisabetta De Giovanni, Adriana Arza, Sasan Yazdani, Jean-Marc Vesin, David Atienza:
REWARD: Design, Optimization, and Evaluation of a Real-Time Relative-Energy Wearable R-Peak Detection Algorithm. EMBC 2019: 3341-3347 - [c184]Niloofar Momeni, Fabio Dell'Agnola, Adriana Arza, David Atienza:
Real-Time Cognitive Workload Monitoring Based on Machine Learning Using Physiological Signals in Rescue Missions. EMBC 2019: 3779-3785 - [c183]William Andrew Simon, Yasir Mahmood Qureshi, Alexandre Levisse, Marina Zapater, David Atienza:
BLADE: A BitLine Accelerator for Devices on the Edge. ACM Great Lakes Symposium on VLSI 2019: 207-212 - [c182]Alexandre Levisse, Marco Rios, William Andrew Simon, Pierre-Emmanuel Gaillardon, David Atienza:
Functionality Enhanced Memories for Edge-AI Embedded Systems. NVMTS 2019: 1-4 - [c181]Yasir Mahmood Qureshi, William Andrew Simon, Marina Zapater, David Atienza, Katzalin Olcoz:
Gem5-X: A Gem5-Based System Level Simulation Framework to Optimize Many-Core Platforms. SpringSim 2019: 1-12 - [c180]Marco Rios, William Andrew Simon, Alexandre Levisse, Marina Zapater, David Atienza:
An Associativity-Agnostic in-Cache Computing Architecture Optimized for Multiplication. VLSI-SoC 2019: 34-39 - [c179]João Vieira, Edouard Giacomin, Yasir Mahmood Qureshi, Marina Zapater, Xifan Tang, Shahar Kvatinsky, David Atienza, Pierre-Emmanuel Gaillardon:
A Product Engine for Energy-Efficient Execution of Binary Neural Networks Using Resistive Memories. VLSI-SoC 2019: 160-165 - [c178]Arman Iranfar, Wellington Silva de Souza, Marina Zapater, Katzalin Olcoz, Samuel Xavier de Souza, David Atienza:
A Machine Learning-Based Framework for Throughput Estimation of Time-Varying Applications in Multi-Core Servers. VLSI-SoC 2019: 211-216 - [c177]Wellington Silva de Souza, Arman Iranfar, Anderson B. N. da Silva, Marina Zapater, Samuel Xavier de Souza, Katzalin Olcoz, David Atienza:
A QoS and Container-Based Approach for Energy Saving and Performance Profiling in Multi-Core Servers. VLSI-SoC 2019: 230-231 - [c176]João Vieira, Edouard Giacomin, Yasir Mahmood Qureshi, Marina Zapater, Xifan Tang, Shahar Kvatinsky, David Atienza, Pierre-Emmanuel Gaillardon:
Accelerating Inference on Binary Neural Networks with Digital RRAM Processing. VLSI-SoC (Selected Papers) 2019: 257-278 - [i3]Damian Pascual, Amir Aminifar, David Atienza, Philippe Ryvlin, Roger Wattenhofer:
Synthetic Epileptic Brain Activities Using Generative Adversarial Networks. CoRR abs/1907.10518 (2019) - 2018
- [j70]José Flich, Giovanni Agosta, Philipp Ampletzer, David Atienza Alonso, Carlo Brandolese, Etienne Cappe, Alessandro Cilardo, Leon Dragic, Alexandre Dray, Alen Duspara, William Fornaciari, Edoardo Fusella, Mirko Gagliardi, Gerald Guillaume, Daniel Hofman, Ynse Hoornenborg, Arman Iranfar, Mario Kovac, Davide Zoni:
Exploring manycore architectures for next-generation HPC systems through the MANGO approach. Microprocess. Microsystems 61: 154-170 (2018) - [j69]Carine Rognon, Stefano Mintchev, Fabio Dell'Agnola, Alexandre Cherpillod, David Atienza, Dario Floreano:
FlyJacket: An Upper Body Soft Exoskeleton for Immersive Drone Control. IEEE Robotics Autom. Lett. 3(3): 2362-2369 (2018) - [j68]Grégoire Surrel, Amir Aminifar, Francisco J. Rincón, Srinivasan Murali, David Atienza:
Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors. IEEE Trans. Biomed. Circuits Syst. 12(4): 762-773 (2018) - [j67]Dionisije Sopic, Amin Aminifar, Amir Aminifar, David Atienza:
Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems. IEEE Trans. Biomed. Circuits Syst. 12(5): 982-992 (2018) - [j66]Artem Aleksandrovich Andreev, Arvind Sridhar, Mohamed M. Sabry, Marina Zapater, Patrick W. Ruch, Bruno Michel, David Atienza:
PowerCool: Simulation of Cooling and Powering of 3D MPSoCs with Integrated Flow Cell Arrays. IEEE Trans. Computers 67(1): 73-85 (2018) - [j65]Arman Iranfar, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram, David Atienza:
TheSPoT: Thermal Stress-Aware Power and Temperature Management for Multiprocessor Systems-on-Chip. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(8): 1532-1545 (2018) - [j64]Ali Pahlevan, Xiaoyu Qu, Marina Zapater, David Atienza:
Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(8): 1667-1680 (2018) - [j63]Jose Manuel Bote, Joaquín Recas, Francisco J. Rincón, David Atienza, Román Hermida:
A Modular Low-Complexity ECG Delineation Algorithm for Real-Time Embedded Systems. IEEE J. Biomed. Health Informatics 22(2): 429-441 (2018) - [j62]Arman Iranfar, Marina Zapater, David Atienza:
Machine Learning-Based Quality-Aware Power and Thermal Management of Multistream HEVC Encoding on Multicore Servers. IEEE Trans. Parallel Distributed Syst. 29(10): 2268-2281 (2018) - [c175]Ali Pahlevan, Yasir Mahmood Qureshi, Marina Zapater, Andrea Bartolini, Davide Rossi, Luca Benini, David Atienza:
Energy proportionality in near-threshold computing servers and cloud data centers: Consolidating or Not? DATE 2018: 147-152 - [c174]Arman Iranfar, Ali Pahlevan, Marina Zapater, Martin Zagar, Mario Kovac, David Atienza:
Online efficient bio-medical video transcoding on MPSoCs through content-aware workload allocation. DATE 2018: 949-954 - [c173]Farnaz Forooghifar, Amir Aminifar, David Atienza Alonso:
Self-Aware Wearable Systems in Epileptic Seizure Detection. DSD 2018: 426-432 - [c172]Fabio Dell'Agnola, Leila Cammoun, David Atienza:
Physiological characterization of need for assistance in rescue missions with drones. ICCE 2018: 1-6 - [c171]Soumya Basu, Loris Duch, Miguel Peón Quirós, David Atienza, Giovanni Ansaloni, Laura Pozzi:
Heterogeneous and Inexact: Maximizing Power Efficiency of Edge Computing Sensors for Health Monitoring Applications. ISCAS 2018: 1-5 - [c170]Arman Iranfar, William Andrew Simon, Marina Zapater, David Atienza:
A Machine Learning-Based Strategy for Efficient Resource Management of Video Encoding on Heterogeneous MPSoCs. ISCAS 2018: 1-5 - [c169]