Home

Person

David Atienza Alonso

About
Privacy
Disclaimer

Graph Chatbot

Related publications (385)

Towards Near-Threshold Server Processors

David Atienza Alonso, Luca Benini, Pablo Garcia del Valle, Babak Falsafi, Javier Picorel Obando, Ali Pahlevan, Arash Pourhabibi Zarandi, Marina Zapater Sancho

The popularity of cloud computing has led to a dramatic increase in the number of data centers in the world. The ever-increasing computational demands along with the slowdown in technology scaling has ushered an era of power-limited servers. Techniques suc ...

IEEE/ACM2016

Enabling HPC for QoS-sensitive applications: the MANGO approach

David Atienza Alonso

In this paper, we provide an overview of the MANGO project and its goal. The MANGO project aims at addressing power, performance and predictability (the PPP space) in future High-Performance Computing systems. It starts from the fundamental intuition that ...

Ieee2016

Nano-Engineered Architectures for Ultra-Low Power Wireless Body Sensor Nodes

David Atienza Alonso, Mohamed Mostafa Sabry Aly, Ruben Braojos Lopez, Giovanni Ansaloni, Subhasish Mitra

Wireless body sensor nodes (WBSNs) are miniaturized devices that are able to acquire, process and transmit bio-signals (such as electrocardiograms, respiration or human-body kinetics). WBSNs face major design challenges due to extremely limited power budge ...

Assoc Computing Machinery2016

Inexact-Aware Architecture Design for Ultra-Low Power Bio-Signal Analysis

David Atienza Alonso, Pablo Garcia del Valle, Soumya Subhra Basu, Giovanni Ansaloni

This paper introduces an inexact, but ultra-low power, computing architecture devoted to the embedded analysis of bio-signals. The platform operates at extremely low voltage supply levels to minimize energy consumption. In this scenario, the reliability of ...

Inst Engineering Technology-Iet2016

Big-Data Streaming Applications Scheduling Based on Staged Multi-Armed Bandits

David Atienza Alonso, Karim Kanoun, Cem Tekin

Several techniques have been recently proposed to adapt Big-Data streaming applications to existing many core platforms. Among these techniques, online reinforcement learning methods have been proposed that learn how to adapt at run-time the throughput and ...

Institute of Electrical and Electronics Engineers2016

Energy vs. Reliability Trade-offs Exploration in Biomedical Ultra-Low Power Devices

David Atienza Alonso, Pablo Garcia del Valle, Andreas Peter Burg, Loris Gérard Duch, Shrikanth Ganapathy

State-of-the-art wearable devices such as embedded biomedical monitoring systems apply voltage scaling to lower as much as possible their energy consumption and achieve longer battery lifetimes. While embedded memories often rely on Error Correction Codes ...

Ieee2016

Methods for reliable estimation of pulse transit time and blood pressure variations using smartphone sensors

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

Hypertension is known to affect around one third of adults globally and early diagnosis is essential to reduce the effects of this affliction. Today’s Blood Pressure (BP) monitoring cuffs are obtrusive and in- convenient for performing regular measurements ...

Elsevier Science Bv2016

Efficient Hardware Design Of Iterative Stencil Loops

David Atienza Alonso, Ivan Beretta, Alessandro Antonio Nacci

A large number of algorithms for multidimensional signals processing and scientific computation come in the form of iterative stencil loops (ISLs), whose data dependencies span across multiple iterations. Because of their complex inner structure, automatic ...

Ieee-Inst Electrical Electronics Engineers Inc2016

Big-Data Streaming Applications Scheduling Based on Staged Multi-armed Bandits

David Atienza Alonso, Karim Kanoun, Cem Tekin

Institute of Electrical and Electronics Engineers2016

Near-optimal thermal monitoring framework for many-core systems on chip

Martin Vetterli, Amina Chebira, David Atienza Alonso, Juri Ranieri, Alessandro Vincenzi

Chip designers place on-chip thermal sensors to measure local temperatures, thus preventing thermal runaway situations in many-core processing architectures. However, the quality of the thermal reconstruction is directly dependent on the number of placed s ...

Institute of Electrical and Electronics Engineers2015

Heterogeneous Error-Resilient Scheme for Spectral Analysis in Ultra-Low Power Wearable Electrocardiogram Devices

David Atienza Alonso, Pablo Garcia del Valle, Soumya Subhra Basu, Georgios Karakonstantis, Giovanni Ansaloni

Wearable devices performing advanced bio-signal analysis algorithms will foster a revolution in healthcare provision of chronic cardiac diseases. In this context, energy efficiency is of paramount importance, as long-term operations must be performed withi ...

IEEE Press2015

Real-Time Probabilistic Heart Beat Classification and Correction for Embedded Systems

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

With the emergence of wearable and non-intrusive med- ical devices, one major challenge is the real-time analysis of the acquired signals in real-life and ambulatory con- ditions. This paper presents a lightweight algorithm for on-line heart beat classific ...

2015

Energy-Aware Embedded Classifier Design for Real-Time Emotion Analysis

David Atienza Alonso, Srinivasan Murali, Francisco Javier Rincon Vallejos, Manoj Padmanabhan

Detection and classification of human emotions from multiple bio-signals has a wide variety of applications. Though electronic devices are available in the market today that acquire multiple body signals, the classification of human emotions in real-time, ...

IEEE Press2015

Classification Framework for Analysis and Modeling of Physically Induced Reliability Violations

David Atienza Alonso

Technology downscaling is expected to amplify a variety of reliability concerns in future digital systems. A good understanding of reliability threats is crucial for the creation of efficient mitigation techniques. This survey performs a systematic classif ...

Assoc Computing Machinery2015

Method for detecting abnormalities in an electrocardiogram

David Atienza Alonso, Srinivasan Murali, Francisco Javier Rincon Vallejos, Ruben Braojos Lopez, Giovanni Ansaloni

A method for classification of ECG beats into normal and different categories of abnormal beats. The method comprises the following steps, performed on a computing platform: a. performing a training phase comprising taking as an input one or more ECG beats ...

2015

ICCAD 2015 Contest in 3D Interlayer Cooling Optimized Network

David Atienza Alonso, Arvind Raj Mahankali Sridhar

Microchannel liquid cooling has been proposed since the late 2000s as a viable enabler for 3D integration of microprocessors to continue scaling of computing power in the face of increasingly reduced returns from CMOS technology scaling. Thermal and electr ...

ACM/IEEE Press2015

Method and apparatus for low complexity spectral analysis of bio-signals

David Atienza Alonso, Srinivasan Murali, Andreas Peter Burg, Aviinaash Sankaranarayanan, Georgios Karakonstantis

A method and device for reducing the computational complexity of a processing algorithm, of a discrete signal, in particular of the spectral estimation and analysis of bio-signals, with minimum or no quality loss, which comprises steps of (a) choosing a do ...

2015

A Wearable Device For Physical and Emotional Health Monitoring

David Atienza Alonso, Srinivasan Murali, Francisco Javier Rincon Vallejos

Personal health monitoring systems are emerging as promising solutions to develop ultra-small, portable devices that can continuously monitor and process several vital body parameters. In this work, we present a wearable device for physical and emotional h ...

2015

Estimation of Blood Pressure and Pulse Transit Time Using Your Smartphone

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

It is widely recognized today that there is an alarming rise of lifestyle-induced chronic diseases (e.g., type II diabetes) in our society. Therefore, a strong need exists for cost-effective and non-invasive devices that can measure blood pressure (BP) to ...

IEEE Computer Society Press2015

GPU Acceleration for Simulating Massively Parallel Many-Core Platforms

David Atienza Alonso, Luca Benini, Martino Ruggiero, Shivani Raghav

Emerging massively parallel architectures such as a general-purpose processor plus many-core programmable accelerators are creating an increasing demand for novel methods to perform their architectural simulation. Most state-of-the-art simulation technolog ...

Institute of Electrical and Electronics Engineers2015

Page 11 of 20