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David Atienza Alonso

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Related publications (385)

A Machine Learning-Based Strategy for Efficient Resource Management of Video Encoding on Heterogeneous MPSoCs

David Atienza Alonso, William Andrew Simon, Marina Zapater Sancho, Arman Iranfar

The design of new streaming systems is becoming a major area of research to deploy services targeted in the Internet-of-Things (IoT) era. In this context, the new High Efficiency Video Coding (HEVC) standard provides high efficiency and scalability of qual ...

2018

An Inexact Ultra-low Power Bio-signal Processing Architecture With Lightweight Error Recovery

David Atienza Alonso, Ruben Braojos Lopez, Soumya Subhra Basu, Giovanni Ansaloni, Loris Gérard Duch

The energy efficiency of digital architectures is tightly linked to the voltage level (Vdd) at which they operate. Aggressive voltage scaling is therefore mandatory when ultra-low power processing is required. Nonetheless, the lowest admissible Vdd is ofte ...

Assoc Computing Machinery2017

PowerCool: Simulation of Cooling and Powering of 3D MPSoCs with Integrated Flow Cell Arrays

David Atienza Alonso, Mohamed Mostafa Sabry Aly, Arvind Raj Mahankali Sridhar, Bruno Michel, Artem Andreev, Marina Zapater Sancho

Integrated Flow-Cell Arrays (FCAs) represent a combination of integrated liquid cooling and on-chip power generation, converting chemical energy of the flowing electrolyte solutions to electrical energy. The FCA technology provides a promising way to addre ...

Institute of Electrical and Electronics Engineers2017

An Inexact Ultra-low Power Bio-signal Processing Architecture With Lightweight Error Recovery

David Atienza Alonso, Ruben Braojos Lopez, Soumya Subhra Basu, Giovanni Ansaloni, Loris Gérard Duch

The energy e fficiency of digital architectures is tightly linked to the voltage level (Vdd) at which they operate. Aggressive voltage scaling is therefore mandatory when ultra-low power processing is required. Nonetheless, the lowest admissible Vdd is o e ...

2017

Report on DATE 2017 in Lausanne

David Atienza Alonso

Ieee-Inst Electrical Electronics Engineers Inc2017

Real-time classification technique for early detection and prevention of myocardial infarction on wearable devices

David Atienza Alonso, Amir Aminifar, Dionisije Sopic

Continuous monitoring of patients suffering from cardiovascular diseases and, in particular, myocardial infarction (MI) places a considerable burden on health-care systems and government budgets. The rise of wearable devices alleviates this burden, allowin ...

IEEE2017

A Patient-Specific Methodology for Prediction of Paroxysmal Atrial Fibrillation Onset

Jean-Marc Vesin, David Atienza Alonso, Amir Aminifar, Sasan Yazdani, Adrian Luca, Elisabetta De Giovanni

In spite of the progress in management of Atrial Fibrillation (AF), this arrhythmia is one of the major causes of stroke and heart failure. The progression of this pathology from a silent paroxysmal form (PAF) into a sustained AF can be prevented by predic ...

2017

Work-in-Progress: A Machine Learning-Based Approach for Power and Thermal Management of Next-Generation Video Coding on MPSoCs

David Atienza Alonso, Marina Zapater Sancho, Arman Iranfar

2017

Method and Device for Non-Invasive Blood Pressure Measurement

David Atienza Alonso, Srinivasan Murali, Francisco Javier Rincon Vallejos, Alair Dias Junior

A system for measuring blood pressure of a user that comprises an ElectroCardioGram (ECG) circuit with at least two ECG electrodes configured to obtain an electrical activity of a heart of the user by measuring the electrical signals detected at the at lea ...

2017

Hierarchical Cardiac-Rhythm Classification Based on Electrocardiogram Morphology

David Atienza Alonso, Amir Aminifar, Dionisije Sopic, Elisabetta De Giovanni

Atrial Fibrillation (AF) is a type of cardiac arrhythmia that significantly increases the risk of stroke and heart failure. In general, in the case of patients affected by AF, their electrocardiogram (ECG) shows a typical pattern of irregular RR intervals ...

2017

A Synchronization-Based Hybrid-Memory Multi-Core Architecture for Energy-Efficient Biomedical Signal Processing

David Atienza Alonso, Luca Benini, Ruben Braojos Lopez, Giovanni Ansaloni

In the last decade, improvements on technology scaling have enabled the design of a novel generation of wearable bio-sensing monitors. These smart Wireless Body Sensor Nodes (WBSNs) are able to acquire and process biological signals, such as electrocardiog ...

Institute of Electrical and Electronics Engineers2017

HEAL-WEAR: an Ultra-Low Power Heterogeneous System for Bio-Signal Analysis

David Atienza Alonso, Ruben Braojos Lopez, Soumya Subhra Basu, Giovanni Ansaloni, Loris Gérard Duch

Personalized healthcare devices enable low-cost, unobtrusive and long-term acquisition of clinically-relevant biosignals. These appliances, termed Wireless Body Sensor Nodes (WBSNs), are fostering a revolution in health monitoring for patients affected by ...

Ieee-Inst Electrical Electronics Engineers Inc2017

TheSPoT: Thermal Stress-Aware Power and Temperature Management for Multiprocessor Systems-on-Chip

David Atienza Alonso, Mehdi Kamal, Arman Iranfar

2017

Classification of Resilience Techniques Against Functional Errors at Higher Abstraction Layers of Digital Systems

David Atienza Alonso

Nanoscale technology nodes bring reliability concerns back to the center stage of digital system design. A systematic classification of approaches that increase system resilience in the presence of functional hardware (HW)-induced errors is presented, deal ...

Assoc Computing Machinery2017

Exploiting CPU-Load and Data Correlations in Multi-Objective VM Placement for Geo-Distributed Data Centers

David Atienza Alonso, Pablo Garcia del Valle, Ali Pahlevan

Cloud computing has been proposed as a new paradigm to deliver services over the internet. The proliferation of cloud services and increasing users’ demands for computing resources have led to the appearance of geo-distributed data centers (DCs). These DCs ...

EDAA/ACM/IEEE Press2016

Ultra-Low Power Estimation of Heart Rate Under Physical Activity Using a Wearable Photoplethysmographic System

David Atienza Alonso, Srinivasan Murali, Francisco Javier Rincon Vallejos, Elisabetta De Giovanni

In the last years, the need for enhancing health and preventing problems with remote monitoring is increasing. A non-invasive low-cost technique for processing bio-signals and monitoring vital parameters, at rest and during physical activity, is the use of ...

IEEE Press2016

Parallelizing the Chambolle Algorithm for Performance Optimized Mapping on FPGA devices

David Atienza Alonso, Abdulkadir Akin, Ivan Beretta, Alessandro Antonio Nacci

The performance and the efficiency of recent computing platforms have been deeply influenced by the widespread adoption of hardware accelerators, such as Graphics Processing Units (GPUs) or Field Programmable Gate Arrays (FPGAs), which are often employed t ...

Assoc Computing Machinery2016

A Multi-Core Reconfigurable Architecture for Ultra-Low Power Bio-Signal Analysis

David Atienza Alonso, Ruben Braojos Lopez, Soumya Subhra Basu, Giovanni Ansaloni, Loris Gérard Duch

This paper introduces a novel computing architecture devoted to the ultra-low power analysis of multiple bio-signals. Its structure comprises several processors interfaced with a shared acceleration resource, implemented as a Coarse Grained Reconfigurable ...

2016

An Ultra-Low Power NVM-Based Multi-Core Architecture for Embedded Bio Signal Processing

David Atienza Alonso, Ruben Braojos Lopez

Healthcare delivery is evolving towards new Wireless Body Sensor Nodes (WBSN), which are miniaturized devices able to acquire, process and transmit subjects’ bio-signals in real time within a tiny energy budget. Recent efforts on AD converters and transmis ...

2016

Touch-Based System for Beat-to-Beat Impedance Cardiogram Acquisition and Hemodynamic Parameters Estimation

David Atienza Alonso, Srinivasan Murali, Francisco Javier Rincon Vallejos, Dionisije Sopic

Among all cardiovascular diseases, congestive heart failure (CHF) has a very high rate of hospitalization and mortality. In order to prevent hospitalization, there is a strong need to identify patients at risk of a CHF event by estimating a set of relevant ...

IEEE/ACM Press2016

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