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David Atienza Alonso

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Publications associées (385)

Memory Power Optimization of Java-Based Embedded Systems Exploiting Garbage Collection Information

David Atienza Alonso

Nowadays, Java is used in all types of embedded devices. For these memory-constrained systems, the automatic dynamicmemorymanager (Garbage Collector or GC) has been always a key factor in terms of the Java Virtual Machine (JVM) performance. Moreover, in cu ...

Elsevier2012

TamaRISC-CS: An Ultra-Low-Power Application-Specific Processor for Compressed Sensing

Pascal Andreas Meinerzhagen, David Atienza Alonso, Ahmed Yasir Dogan, Andreas Peter Burg, Jeremy Hugues-Felix Constantin, Oskar Andersson

Compressed sensing (CS) is a universal technique for the compression of sparse signals. CS has been widely used in sensing platforms where portable, autonomous devices have to operate for long periods of time with limited energy resources. Therefore, an ul ...

2012

A Hybrid HW-SW Approach for Intermittent Error Mitigation in Streaming-Based Embedded Systems

David Atienza Alonso

Recent advances in process technology augment the systems-on-chip (SoCs) functionality per unit area with the substantial decrease of device features. However, features abatement triggers new reliability issues such as the single-event multi-bit upset (SMU ...

ACM and IEEE Press2012

Online Thermal Control Methods for Multi-Processor Systems

Giovanni De Micheli, David Atienza Alonso, Luca Benini, Francesco Zanini, Colin Neil Jones

With technological advances, the number of cores integrated on a chip is increasing. This, in turn is leading to thermal constraints and thermal design challenges. Temperature gradients and hot-spots not only affect the performance of the system, but also ...

Association for Computing Machinery2012

Design Exploration of Energy-Performance Trade-offs for Wireless Sensor Networks

David Atienza Alonso, Francisco Javier Rincon Vallejos, Nadia Khaled, Ivan Beretta

Wireless sensor networks (WNSs) are gradually evolving from a promising technology to a well-established reality in a large set of different domains. In order to fulfill the requirements of the specific scenario, a WSN must provide the right tradeoffs betw ...

IEEE2012

Neural Network-Based Thermal Simulation of Integrated Circuits on GPUs

David Atienza Alonso, Arvind Raj Mahankali Sridhar, Martino Ruggiero, Alessandro Vincenzi

With the rising challenges in heat removal in integrated circuits (ICs), the development of thermal-aware computing architectures and run-time management systems have become indispensable to the continuation of IC design scaling. These thermal-aware design ...

Institute of Electrical and Electronics Engineers2012

Low-power processor architecture exploration for online biomedical signal analysis

David Atienza Alonso, Luca Benini, Ahmed Yasir Dogan, Andreas Peter Burg, Jeremy Hugues-Felix Constantin

In this study, the authors explore sequential and parallel processing architectures, utilising a custom ultra-low-power (ULP) processing core, to extend the lifetime of health monitoring systems, where slow biosignal events and highly parallel computations ...

Inst Engineering Technology-Iet2012

Thermal Balancing of Liquid-Cooled 3D-MPSoCs Using Channel Modulation

David Atienza Alonso, Arvind Raj Mahankali Sridhar

While possessing the potential to replace conventional air-cooled heat sinks, inter-tier microchannel liquid cooling of 3D ICs also creates the problem of increased thermal gradients from the fluid inlet to outlet ports [1, 2]. These cooling-induced therma ...

ACM and IEEE Press2012

Knowledge-based design space exploration of wireless sensor networks

David Atienza Alonso, Ivan Beretta

The complexity of Wireless Sensor Networks (WSNs) has been constantly increasing over the last decade, and the necessity of efficient CAD tools has been growing accordingly. In fact, the size of the design space of a WSN has become large, and an exploratio ...

ACM Press2012

A Multi-Lead ECG Classification Based on Random Projection Features

Iva Bogdanova Vandergheynst, David Atienza Alonso, Francisco Javier Rincon Vallejos

This paper presents a novel method for classification of multilead electrocardiogram (ECG) signals. The feature extraction is based on the random projection (RP) concept for dimensionality reduction. Furthermore, the classification is performed by a neuro- ...

IEEE Press2012

Wearout-Aware Compiler-Directed Register Assignment for Embedded Systems

David Atienza Alonso

Although constant technology scaling has resulted in considerable benefits, smaller device dimensions, higher operating temperatures and electric fields have also contributed to faster device aging due to wearout. Not only does this result in the shortenin ...

IEEE Press2012

A Multi-Lead Ecg Classification Based On Random Projection Features

Iva Bogdanova Vandergheynst, David Atienza Alonso, Francisco Javier Rincon Vallejos

This paper presents a novel method for classification of multi-lead electrocardiogram (ECG) signals. The feature extraction is based on the random projection (RP) concept for dimensionality reduction. Furthermore, the classification is performed by a neuro ...

IEEE Press2012

Free Cooling-Aware Dynamic Power Management for Green Datacenters

David Atienza Alonso, Martino Ruggiero, Jungsoo Kim

Free cooling, i.e., directly using outside cold air and/or water to cool down datacenters, can provide significant power savings of datacenters. However, due to the limited cooling capability, which is tightly coupled with climate conditions, free cooling ...

IEEE Press2012

Model-Based Design for Wireless Body Sensor Network Nodes

David Atienza Alonso, Francisco Javier Rincon Vallejos, Nadia Khaled, Ivan Beretta

Wireless body sensor networks (WBSNs) are a rising technology that allows constant and unobtrusive monitoring of the vital signals of a patient. The configuration of a WBSN node proves to be critical in order to maximize its lifetime, while meeting the pre ...

IEEE Press2012

EigenMaps: Algorithms for Optimal Thermal Maps Extraction and Sensor Placement on Multicore Processors

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

Chip designers place on-chip sensors to measure local temperatures, thus preventing thermal runaway situations in multicore processing architectures. However, thermal characterization is directly dependent on the number of placed sensors, which should be m ...

ACM2012

Multi-Core Architecture Design for Ultra-Low-Power Wearable Health Monitoring Systems

David Atienza Alonso, Ahmed Yasir Dogan, Andreas Peter Burg, Martino Ruggiero, Jeremy Hugues-Felix Constantin

Personal health monitoring systems can offer a cost-effective solution for human healthcare. To extend the lifetime of health monitoring systems, we propose a near-threshold ultra-low- power multi-core architecture featuring low-power cores, yet capable of ...

ACM and IEEE Press2012

Design and Exploration of Low-Power Analog to Information Conversion Based on Compressed Sensing

Pierre Vandergheynst, David Atienza Alonso, Nadia Khaled, Hossein Mamaghanian

The long-standing analog-to-digital conversion paradigm based on Shannon/Nyquist sampling has been challenged lately, mostly in situations such as radar and communication signal processing where signal bandwidth is so large that sampling architectures cons ...

2012

Automated Real-Time Atrial Fibrillation Detection on a Wearable Wireless Sensor Platform

David Atienza Alonso, Francisco Javier Rincon Vallejos, Nadia Khaled

This paper presents an automated real-time atrial fibrillation (AF) detection approach that relies on the observation of two characteristic irregularities of AF episodes in the electrocardiogram (ECG) signal. The results generated after the analysis of the ...

IEEE Press2012

Design of Energy Efficient and Dependable Health Monitoring Systems under Unreliable Nanometer Technologies

David Atienza Alonso, Mohamed Mostafa Sabry Aly, Andreas Peter Burg, Georgios Karakonstantis

In this paper we investigate the impact of potential hardware misbehavior induced by reliability issues and scaled voltages in wireless body sensor network (WBSN) nodes. Our study reveals the inherent resilience of popular algorithms in cardiac monitoring ...

ACM Press2012

Accelerating Thermal Simulations of 3D ICs with Liquid Cooling using Neural Networks

David Atienza Alonso, Arvind Raj Mahankali Sridhar, Martino Ruggiero, Alessandro Vincenzi

Vertical integration is a promising solution to further increase the performance of future ICs, but such 3D ICs present complex thermal issues that cannot be solved by conventional cooling techniques. Interlayer liquid cooling has been proposed to extract ...

ACM2012

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