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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
- 2021
[j85]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)- [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) - [c203]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 - [i10]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) - [i9]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) - [i8]Una Pale, Tomás Teijeiro, David Atienza:
Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection. CoRR abs/2105.00934 (2021) - [i7]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) - 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) - [c202]Shikhar Tuli, Marco Rios, Alexandre Levisse, David Atienza:
RRAM-VAC: A Variability-Aware Controller for RRAM-based Memory Architectures. ASP-DAC 2020: 181-186 - [c201]Silvio Zanoli, Tomás Teijeiro, Fabio Montagna, David Atienza:
An Event-Based System for Low-Power ECG QRS Complex Detection. DATE 2020: 258-263 - [c200]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 - [c199]Renato Zanetti, Amir Aminifar, David Atienza:
Robust Epileptic Seizure Detection on Wearable Systems with Reduced False-Alarm Rate. EMBC 2020: 4248-4251 - [c198]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 - [c197]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 - [c196]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 - [c195]Anthony Hitchcock Thomas, Amir Aminifar, David Atienza:
Noise-Resilient and Interpretable Epileptic Seizure Detection. ISCAS 2020: 1-5 - [c194]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 - [c193]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 - [c192]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) - [c191]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 - [c190]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 - [c189]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 - [c188]Damian Pascual, Amir Aminifar, David Atienza:
A Self-Learning Methodology for Epileptic Seizure Detection with Minimally-Supervised Edge Labeling. DATE 2019: 764-769 - [c187]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 - [c186]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 - [c185]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 - [c184]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 - [c183]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 - [c182]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 - [c181]Alexandre Levisse, Marco Rios, William Andrew Simon, Pierre-Emmanuel Gaillardon, David Atienza:
Functionality Enhanced Memories for Edge-AI Embedded Systems. NVMTS 2019: 1-4 - [c180]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 - [c179]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 - [c178]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 - [c177]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 - [c176]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 - [c175]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) - [c174]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 - [c173]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 - [c172]Farnaz Forooghifar, Amir Aminifar, David Atienza Alonso:
Self-Aware Wearable Systems in Epileptic Seizure Detection. DSD 2018: 426-432 - [c171]Fabio Dell'Agnola, Leila Cammoun, David Atienza:
Physiological characterization of need for assistance in rescue missions with drones. ICCE 2018: 1-6 - [c170]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 - [c169]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 - [c168]Dionisije Sopic, Amir Aminifar, David Atienza:
e-Glass: A Wearable System for Real-Time Detection of Epileptic Seizures. ISCAS 2018: 1-5 - [c167]Artem Aleksandrovich Andreev, Fulya Kaplan, Marina Zapater, Ayse K. Coskun, David Atienza:
Design Optimization of 3D Multi-Processor System-on-Chip with Integrated Flow Cell Arrays. ISLPED 2018: 42:1-42:6 - [c166]William Fornaciari, Giovanni Agosta, David Atienza, Carlo Brandolese, Leila Cammoun, Luca Cremona, Alessandro Cilardo, Albert Farres, José Flich, Carles Hernández, Michal Kulchewski, Simone Libutti, José Maria Martínez, Giuseppe Massari, Ariel Oleksiak, Anna Pupykina, Federico Reghenzani, Rafael Tornero, Michele Zanella, Marina Zapater, Davide Zoni:
Reliable power and time-constraints-aware predictive management of heterogeneous exascale systems. SAMOS 2018: 187-194 - 2017
- [j61]Georgia Psychou, Dimitrios Rodopoulos, Mohamed M. Sabry, Tobias Gemmeke, David Atienza, Tobias G. Noll, Francky Catthoor:
Classification of Resilience Techniques Against Functional Errors at Higher Abstraction Layers of Digital Systems. ACM Comput. Surv. 50(4): 50:1-50:38 (2017) - [j60]David Atienza, Giorgio Di Natale:
Report on DATE 2017 in Lausanne. IEEE Des. Test 34(4): 76-77 (2017) - [j59]Rubén Braojos, Daniele Bortolotti, Andrea Bartolini, Giovanni Ansaloni, Luca Benini, David Atienza:
A Synchronization-Based Hybrid-Memory Multi-Core Architecture for Energy-Efficient Biomedical Signal Processing. IEEE Trans. Computers 66(4): 575-585 (2017) - [j58]Loris Duch, Soumya Basu, Rubén Braojos, Giovanni Ansaloni, Laura Pozzi, David Atienza:
HEAL-WEAR: An Ultra-Low Power Heterogeneous System for Bio-Signal Analysis. IEEE Trans. Circuits Syst. I Regul. Pap. 64-I(9): 2448-2461 (2017) - [j57]Soumya Basu, Loris Duch, Rubén Braojos, Giovanni Ansaloni, Laura Pozzi, David Atienza:
An Inexact Ultra-low Power Bio-signal Processing Architecture With Lightweight Error Recovery. ACM Trans. Embed. Comput. Syst. 16(5s): 159:1-159:19 (2017) - [c165]Dionisije Sopic, Amin Aminifar, Amir Aminifar, David Atienza:
Real-time classification technique for early detection and prevention of myocardial infarction on wearable devices. BioCAS 2017: 1-4 - [c164]Elisabetta De Giovanni, Amir Aminifar, Adrian Luca, Sasan Yazdani, Jean-Marc Vesin, David Atienza:
A Patient-Specific Methodology for Prediction of Paroxysmal Atrial Fibrillation Onset. CinC 2017 - [c163]Dionisije Sopic, Elisabetta De Giovanni, Amir Aminifar, David Atienza:
A Hierarchical Cardiac Rhythm Classification Methodology Based on Electrocardiogram Fiducial Points. CinC 2017 - [c162]Arman Iranfar, Marina Zapater, David Atienza:
A machine learning-based approach for power and thermal management of next-generation video coding on MPSoCs: work-in-progress. CODES+ISSS 2017: 14:1-14:2 - [c161]Jose Flich, Giovanni Agosta, Philipp Ampletzer, David Atienza Alonso, Carlo Brandolese, Etienne Cappe, Alessandro Cilardo, Leon Dragic, Alexandre Dray, Alen Duspara, William Fornaciari, Gerald Guillaume, Ynse Hoornenborg, Arman Iranfar, Mario Kovac, Simone Libutti, Bruno Maitre, José Maria Martínez, Giuseppe Massari, Hrvoje Mlinaric, Ermis Papastefanakis, Tomás Picornell, Igor Piljic, Anna Pupykina, Federico Reghenzani, Isabelle Staub, Rafael Tornero, Marina Zapater, Davide Zoni:
MANGO: Exploring Manycore Architectures for Next-GeneratiOn HPC Systems. DSD 2017: 478-485 - [c160]Arman Iranfar, Federico Terraneo, William Andrew Simon, Leon Dragic, Igor Piljic, Marina Zapater, William Fornaciari, Mario Kovac, David Atienza:
Thermal characterization of next-generation workloads on heterogeneous MPSoCs. SAMOS 2017: 286-291 - [p2]Ali Pahlevan, Maurizio Rossi, Pablo García Del Valle, Davide Brunelli, David Atienza:
Joint Computing and Electric Systems Optimization for Green Datacenters. Handbook of Hardware/Software Codesign 2017: 1163-1183 - [e5]David Atienza, Giorgio Di Natale:
Design, Automation & Test in Europe Conference & Exhibition, DATE 2017, Lausanne, Switzerland, March 27-31, 2017. IEEE 2017, ISBN 978-3-9815370-8-6 [contents] - 2016
- [j56]Soumya Basu, Pablo García Del Valle, Georgios Karakonstantis, Giovanni Ansaloni, Laura Pozzi, David Atienza:
Inexact-aware architecture design for ultra-low power bio-signal analysis. IET Comput. Digit. Tech. 10(6): 306-314 (2016) - [j55]Alair Dias Junior, Srinivasan Murali, Francisco J. Rincón, David Atienza:
Methods for reliable estimation of pulse transit time and blood pressure variations using smartphone sensors. Microprocess. Microsystems 46: 84-95 (2016) - [j54]Karim Kanoun, Cem Tekin, David Atienza, Mihaela van der Schaar:
Big-Data Streaming Applications Scheduling Based on Staged Multi-Armed Bandits. IEEE Trans. Computers 65(12): 3591-3605 (2016) - [j53]Vincenzo Rana, Ivan Beretta, Francesco Bruschi, Alessandro Antonio Nacci, David Atienza, Donatella Sciuto:
Efficient Hardware Design of Iterative Stencil Loops. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(12): 2018-2031 (2016) - [j52]Ivan Beretta, Vincenzo Rana, Abdulkadir Akin, Alessandro Antonio Nacci, Donatella Sciuto, David Atienza:
Parallelizing the Chambolle Algorithm for Performance-Optimized Mapping on FPGA Devices. ACM Trans. Embed. Comput. Syst. 15(3): 44:1-44:27 (2016) - [c159]Loris Duch, Soumya Basu, Rubén Braojos, David Atienza, Giovanni Ansaloni, Laura Pozzi:
A multi-core reconfigurable architecture for ultra-low power bio-signal analysis. BioCAS 2016: 416-419 - [c158]Daniele Bortolotti, Andrea Bartolini, Luca Benini, V. Rajesh Pamula, Nick Van Helleputte, Chris Van Hoof, Marian Verhelst, Tobias Gemmeke, Rubén Braojos Lopez, Giovanni Ansaloni, David Atienza, Pierre Vandergheynst:
PHIDIAS: ultra-low-power holistic design for smart bio-signals computing platforms. Conf. Computing Frontiers 2016: 309-314 - [c157]Rubén Braojos, David Atienza, Mohamed M. Sabry Aly, Tony F. Wu, H.-S. Philip Wong, Subhasish Mitra, Giovanni Ansaloni:
Nano-engineered architectures for ultra-low power wireless body sensor nodes. CODES+ISSS 2016: 23:1-23:10 - [c156]Ali Pahlevan, Javier Picorel, Arash Pourhabibi Zarandi, Davide Rossi, Marina Zapater, Andrea Bartolini, Pablo García Del Valle, David Atienza, Luca Benini, Babak Falsafi:
Towards near-threshold server processors. DATE 2016: 7-12 - [c155]Jose Flich, Giovanni Agosta, Philipp Ampletzer, David Atienza Alonso, Carlo Brandolese, Alessandro Cilardo, William Fornaciari, Ynse Hoornenborg, Mario Kovac, Bruno Maitre, Giuseppe Massari, Hrvoje Mlinaric, Ermis Papastefanakis, Fabrice Roudet, Rafael Tornero, Davide Zoni:
Enabling HPC for QoS-sensitive applications: The MANGO approach. DATE 2016: 702-707 - [c154]Dionisije Sopic, Srinivasan Murali, Francisco J. Rincón, David Atienza:
Touch-based system for beat-to-beat impedance cardiogram acquisition and hemodynamic parameters estimation. DATE 2016: 726-731 - [c153]Loris Duch, Pablo García Del Valle, Shrikanth Ganapathy, Andreas Burg, David Atienza:
Energy vs. reliability trade-offs exploration in biomedical ultra-low power devices. DATE 2016: 838-841 - [c152]Ali Pahlevan, Pablo García Del Valle, David Atienza:
Exploiting CPU-load and data correlations in multi-objective VM placement for geo-distributed data centers. DATE 2016: 1333-1338 - [c151]Elisabetta De Giovanni, Srinivasan Murali, Francisco J. Rincón, David Atienza:
Ultra-Low Power Estimation of Heart Rate Under Physical Activity Using a Wearable Photoplethysmographic System. DSD 2016: 553-560 - [c150]Grégoire Surrel, Francisco J. Rincón, Srinivasan Murali, David Atienza:
Low-Power Wearable System for Real-Time Screening of Obstructive Sleep Apnea. ISVLSI 2016: 230-235 - [c149]David Atienza, Concha Bielza, Javier Díaz, Pedro Larrañaga:
Anomaly Detection with a Spatio-Temporal Tracking of the Laser Spot. STAIRS 2016: 137-142 - 2015
- [j51]Dimitrios Rodopoulos, Georgia Psychou, Mohamed M. Sabry, Francky Catthoor, Antonis Papanikolaou, Dimitrios Soudris, Tobias G. Noll, David Atienza:
Classification Framework for Analysis and Modeling of Physically Induced Reliability Violations. ACM Comput. Surv. 47(3): 38:1-38:33 (2015) - [j50]Juri Ranieri, Alessandro Vincenzi, Amina Chebira, David Atienza, Martin Vetterli:
Near-Optimal Thermal Monitoring Framework for Many-Core Systems-on-Chip. IEEE Trans. Computers 64(11): 3197-3209 (2015) - [j49]Shivani Raghav, Martino Ruggiero, Andrea Marongiu, Christian Pinto, David Atienza, Luca Benini:
GPU Acceleration for Simulating Massively Parallel Many-Core Platforms. IEEE Trans. Parallel Distributed Syst. 26(5): 1336-1349 (2015) - [c148]Srinivasan Murali, Francisco J. Rincón, David Atienza:
A Wearable Device for Physical and Emotional Health Monitoring. CinC 2015: 121-124 - [c147]Grégoire Surrel, Francisco J. Rincón, Srinivasan Murali, David Atienza:
Real-Time Probabilistic Heart-Beat Classification and Correction for Embedded Systems. CinC 2015: 161-164 - [c146]David Atienza, Álvaro Herrero, Emilio Corchado:
Neural Analysis of HTTP Traffic for Web Attack Detection. CISIS-ICEUTE 2015: 201-212 - [c145]Jose Flich, Giovanni Agosta, Philipp Ampletzer, David Atienza Alonso, Alessandro Cilardo, William Fornaciari, Mario Kovac, Fabrice Roudet, Davide Zoni:
The MANGO FET-HPC Project: An Overview. CSE 2015: 351-354 - [c144]Alair Dias Junior, Srinivasan Murali, Francisco J. Rincón, David Atienza:
Estimation of Blood Pressure and Pulse Transit Time Using Your Smartphone. DSD 2015: 173-180 - [c143]Manoj Padmanabhan, Srinivasan Murali, Francisco J. Rincón, David Atienza:
Energy-aware embedded classifier design for real-time emotion analysis. EMBC 2015: 2275-2278 - [c142]Arvind Sridhar, Mohamed M. Sabry, David Atienza:
ICCAD 2015 Contest in 3D Interlayer Cooling Optimized Network. ICCAD 2015: 912-915 - [c141]Soumya Basu, Pablo García Del Valle, Georgios Karakonstantis, Giovanni Ansaloni, David Atienza:
Heterogeneous Error-Resilient Scheme for Spectral Analysis in Ultra-Low Power Wearable Electrocardiogram Devices. ISVLSI 2015: 268-273 - [c140]