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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
- 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]