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David Atienza Alonso

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Related publications (385)

A QoS and Container-Based Approach for Energy Saving and Performance Profiling in Multi-Core Servers

David Atienza Alonso, Marina Zapater Sancho, Arman Iranfar, Wellington Silva De Souza

In this work we present ContainEnergy, a new performance evaluation and profiling tool that uses software containers to perform application runtime assessment, providing energy and performance profiling data. It is focused on energy efficiency for next gen ...

IEEE2019

A Machine Learning-Based Framework for Throughput Estimation of Time-Varying Applications in Multi-Core Servers

David Atienza Alonso, Marina Zapater Sancho, Arman Iranfar, Wellington Silva De Souza

2019

An Associativity-Agnostic in-Cache Computing Architecture Optimized for Multiplication

David Atienza Alonso, William Andrew Simon, Marina Zapater Sancho, Alexandre Sébastien Julien Levisse, Marco Antonio Rios

With the spread of cloud services and Internet of Things concept, there is a popularization of machine learning and artificial intelligence based analytics in our everyday life. However, an efficient deployment of these data-intensive services requires per ...

2019

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

David Atienza Alonso, Ali Pahlevan, Marina Zapater Sancho, Xiaoyu Qu

Modern cloud data centers (DCs) need to tackle efficiently the increasing demand for computing resources and address the energy efficiency challenge. Therefore, it is essential to develop resource provisioning policies that are aware of virtual machine (VM ...

2018

FlyJacket: An Upper Body Soft Exoskeleton for Immersive Drone Control

Dario Floreano, David Atienza Alonso, Carine Rognon, Alexandre Thierry Cherpillod, Fabio Isidoro Tiberio Dell'Agnola, Stefano Mintchev

Most human–drone interfaces, such as joysticks and remote controllers, require attention and developed skills during teleoperation. Wearable interfaces could enable a more natural and intuitive control of drones, which would make this technology accessible ...

2018

Machine Learning-Based Quality-Aware Power and Thermal Management of Multistream HEVC Encoding on Multicore Servers

David Atienza Alonso, Marina Zapater Sancho, Arman Iranfar

The emergence of video streaming applications, together with the users’ demand for high-resolution contents, has led to the development of new video coding standards, such as High Efficiency Video Coding (HEVC). HEVC provides high efficiency at the cost of ...

2018

Heterogeneous and Inexact: Maximizing Power Efficiency of Edge Computing Sensors for Health Monitoring Applications

David Atienza Alonso, Soumya Subhra Basu, Giovanni Ansaloni, Loris Gérard Duch, Miguel Peon Quiros

In the Internet-of-Things (IoT) era, there is an increasing trend to enable intelligent behavior in edge computing sensors. Thus, a new generation of smart wearable devices for health monitoring is being developed, able to perform complex Digital Signal Pr ...

IEEE2018

Self-Aware Wearable Systems in Epileptic Seizure Detection

David Atienza Alonso, Amir Aminifar, Farnaz Forooghifar

Today, wearable systems are facing fundamental barriers in terms of battery lifetime and quality of their results. The main challenge in wearable systems is to increase the battery lifetime, while maintaining the machine-learning performance of the system. ...

2018

Design of a Two-Phase Gravity-Driven Micro-Scale Thermosyphon Cooling System for High-Performance Computing Data Centers

John Richard Thome, David Atienza Alonso, André Olivier Seuret, Marina Zapater Sancho, Arman Iranfar

Next-generation High-Performance Computing (HPC) systems need to provide outstanding performance with unprecedented energy efficiency while maintaining servers at safe thermal conditions. Air cooling presents important limitations when employed in HPC infr ...

2018

A modular low-complexity ECG delineation algorithm for real-time embedded systems

David Atienza Alonso, Francisco Javier Rincon Vallejos, Roman Hermida Correa

This work presents a new modular and lowcomplexity algorithm for the delineation of the different ECG waves (QRS, P and T peaks, onsets and end). Involving a reduced number of operations per second and having a small memory footprint, this algorithm is int ...

2018

Design Optimization of 3D Multi-Processor System-on-Chip with Integrated Flow Cell Arrays

David Atienza Alonso, Ayse Kivilcim Coskun, Artem Andreev, Marina Zapater Sancho, Fulya Kaplan

Integrated flow cell array (FCA) is an emerging technology, targeting the cooling and power delivery challenges of modern 2D/3D Multi-Processor Systems-on-Chip (MPSoCs). In FCA, electrolytic solutions are pumped through microchannels etched in the silicon ...

2018

Physiological Characterization of Need for Assistance in Rescue Missions with Drones

David Atienza Alonso, Leila Cammoun, Fabio Isidoro Tiberio Dell'Agnola

The use of drones is recently gaining particular interest in the field of search and rescue. However, particular skills are still required to actively operate in a mission without crashing the drone. This limits their effective and efficient employment in ...

2018

Reliable Power and Time-Constraints-Aware Predictive Management of Heterogeneous Exascale Systems

David Atienza Alonso, Leila Cammoun, Marina Zapater Sancho, Simone Libutti

ASSOC COMPUTING MACHINERY2018

Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems

David Atienza Alonso, Amir Aminifar, Dionisije Sopic

A considerable portion of government health-care spending is allocated to the continuous monitoring of patients suffering from cardiovascular diseases, particularly myocardial infarction (MI). Wearable devices present a cost-effective means of monitoring p ...

2018

Jacket for embodied interaction with virtual or distal robotic device

Dario Floreano, David Atienza Alonso, Carine Rognon, Alice Ghislaine Concordel, Fabio Isidoro Tiberio Dell'Agnola, Stefano Mintchev

A system for interacting with a remote object comprising a wearable jacket for a user, two actuators for supporting arms of the user, motors for causing movements to at least one of a torso and the arms of the user, and sensors for measuring at least one o ...

2018

Online Efficient Bio-Medical Video Transcoding on MPSoCs Through Content-Aware Workload Allocation

David Atienza Alonso, Ali Pahlevan, Marina Zapater Sancho, Arman Iranfar

Bio-medical image processing in the field of telemedicine, and in particular the definition of systems that allow medical diagnostics in a collaborative and distributed way is experiencing an undeniable growth. Due to the high quality of bio-medical videos ...

IEEE and ACM Press2018

Exploring manycore architectures for next-generation HPC systems through the MANGO approach

David Atienza Alonso, Marina Zapater Sancho, Arman Iranfar, Simone Libutti

The Horizon 2020 MANGO project aims at exploring deeply heterogeneous accelerators for use in High Performance Computing systems running multiple applications with different Quality of Service (QoS) levels. The main goal of the project is to exploit custom ...

ELSEVIER SCIENCE BV2018

e-Glass: A Wearable System for Real-Time Detection of Epileptic Seizures

David Atienza Alonso, Amir Aminifar, Dionisije Sopic

Today, epilepsy is one of the most common chronic diseases affecting more than 65 million people worldwide and is ranked number four after migraine, Alzheimer’s disease, and stroke. Despite the recent advances in anti-epileptic drugs, one-third of the epil ...

2018

Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors

David Atienza Alonso, Srinivasan Murali, Francisco Javier Rincon Vallejos, Amir Aminifar, Grégoire Casimir Joseph Surrel

Obstructive Sleep Apnea (OSA) is one of the main under-diagnosed sleep disorder. It is an aggravating factor for several serious cardiovascular diseases, including stroke. There is, however, a lack of medical devices for long-term ambulatory monitoring of ...

2018

Energy Proportionality in Near-Threshold Computing Servers and Cloud Data Centers: Consolidating or Not?

David Atienza Alonso, Luca Benini, Ali Pahlevan, Marina Zapater Sancho, Yasir Mahmood Qureshi

Cloud Computing aims to efficiently tackle the increasing demand of computing resources, and its popularity has led to a dramatic increase in the number of computing servers and data centers worldwide. However, as effect of post-Dennard scaling, computing ...

2018

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