Publications de David Atienza Alonso

Publications associées (385)

Integrated Microfluidic Power Generation and Cooling for Bright Silicon MPSoCs

David Atienza Alonso, Arvind Raj Mahankali Sridhar, Mohamed Mostafa Sabry Aly

The soaring demand for computing power in our digital information age has produced as collateral undesirable effect a surge in power consumption and heat density for computing servers. Accordingly, 30-40% of the energy consumed in state-of-the-art servers ...

IEEE/ACM Press2014

GPGPU-Accelerated Parallel and Fast Simulation of Thousand-core Platforms

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

The multicore revolution and the ever-increasing complexity of computing systems is dramatically changing system design, analysis and programming of computing platforms. Future architectures will feature hundreds to thousands of simple processors and on-ch ...

IEEE/ACM Press2011

Core Cosmology Library: Precision Cosmological Predictions for LSST

David Atienza Alonso, Jonathan Andrew Blazek

The Core Cosmology Library (CCL) provides routines to compute basic cosmological observables to a high degree of accuracy, which have been verified with an extensive suite of validation tests. Predictions are provided for many cosmological quantities, incl ...

IOP PUBLISHING LTD2019

A semi-analytical approach for optimized design of microchannel liquid-cooled ICs

David Atienza Alonso, Arvind Raj Mahankali Sridhar

The development of embedded and interlayer liquid cooling in integrated circuits (ICs) using silicon microchannels has gained interest in the recent years owing to the rise of on-chip heat uses that aggravate thermal reliability issues of the emerging 3D s ...

IEEE Press2014

MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding

David Atienza Alonso, Marina Zapater Sancho, Arman Iranfar, Luis Maria Costero Valero

Real-time video transcoding has recently raised as a valid alternative to address the ever-increasing demand for video contents in servers' infrastructures in current multi-user environments. High Efficiency Video Coding (HEVC) makes efficient online trans ...

IEEE2019

ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power Markets

David Atienza Alonso, Marina Zapater Sancho, Ali Pahlevan

Modern datacenters need to tackle efficiently the increasing demand for computing resources while minimizing energy usage and monetary costs. Power market operators have recently introduced emerging demand-response programs, in which electricity consumers ...

2021

Parallelizing the Chambolle Algorithm for Performance Optimized Mapping on FPGA devices

David Atienza Alonso, Ivan Beretta, Abdulkadir Akin, 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

SideDRAM: Integrating SoftSIMD Datapaths near DRAM Banks for Energy-Efficient Variable Precision Computation

David Atienza Alonso, Giovanni Ansaloni, Marina Zapater Sancho, Alexandre Sébastien Julien Levisse, Rafael Medina Morillas, Pengbo Yu

By interfacing computing logic directly to the DRAM banks, bank-level Compute-near-Memory (CnM) architectures promise to mitigate the bottleneck at the memory interconnect. While this computation paradigm heavily reduces the energy requirements for data mo ...

ACM2025

A Quality-Scalable and Energy-Efficient Approach for Spectral Analysis of Heart Rate Variability

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

Today there is a growing interest in the integration of health monitoring applications in portable devices necessitating the development of methods that improve the energy efficiency of such systems. In this paper, we present a systematic approach that ena ...

IEEE2014

Compact transient thermal model for 3D ICs with liquid cooling via enhanced heat transfer cavity geometries

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

The advent of 3D stacked ICs with accumulating heat fluxes stresses thermal reliability and is responsible for temperature driven performance deterioration of the electronic systems Hot spots with power densities typically rising up to 250 W/cm2 are not ac ...

IEEE Press2010

Towards Deeply Scaled 3D MPSoCs with Integrated Flow Cell Array Technology

David Atienza Alonso, Marina Zapater Sancho, Alexandre Sébastien Julien Levisse, Mohamed Mostafa Sabry Aly, Halima Najibi

Deeply-scaled three-dimensional (3D) Multi-Processor Systems-on-Chip (MPSoCs) enable high performance and massive communication bandwidth for next-generation computing. However, as process nodes shrink, temperature-dependent leakage dramatically increases, ...

2020

Hierarchical Thermal Management Policy for High-Performance 3D Systems with Liquid Cooling

Giovanni De Micheli, David Atienza Alonso, Mohamed Mostafa Sabry Aly, Francesco Zanini

3-Dimensional integrated circuits and systems are expected to be present in electronic products in the short term. We consider specifically 3-D multi-processor systems-onchip (MPSoCs), realized by stacking silicon CMOS chips and interconnecting them by mea ...

2011

Overflow-free compute memories for edge AI acceleration

David Atienza Alonso, Giovanni Ansaloni, Alexandre Sébastien Julien Levisse, Flavio Ponzina, Marco Antonio Rios

Compute memories are memory arrays augmented with dedicated logic to support arithmetic. They support the efficient execution of data-centric computing patterns, such as those characterizing Artificial Intelligence (AI) algorithms. These architectures can ...

2023

A Combined Sensor Placement and Convex Optimization Approach for Thermal Management in 3D-MPSoC with Liquid Cooling

Giovanni De Micheli, David Atienza Alonso, Francesco Zanini

Modern high-performance processors employ thermal management systems, which rely on accurate readings of on-die thermal sensors. Systematic tools for analysis and determination of best allocation and placement of thermal sensors is therefore a highly relev ...

Elsevier Science Bv2013

Correlation-Aware Virtual Machine Allocation for Energy-Efficient Datacenters

David Atienza Alonso, Martino Ruggiero, Jungsoo Kim

Server consolidation plays a key role to mitigate the continuous power increase of datacenters. The recent advent of scale-out applications (e.g., web search, MapReduce, etc.) necessitate the revisit of existing server consolidation solutions due to distin ...

ACM and IEEE Press2013

3D-ICE: a Compact Thermal Model for Early-Stage Design of Liquid-Cooled ICs

David Atienza Alonso, Arvind Raj Mahankali Sridhar, Alessandro Vincenzi

Liquid-cooling using microchannel heat sinks etched on silicon dies is seen as a promising solution to the rising heat fluxes in two-dimensional and stacked three-dimensional integrated circuits. Development of such devices requires accurate and fast therm ...

Institute of Electrical and Electronics Engineers2014

Online Thermal Control Methods for Multi-Processor Systems

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

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

FADE: Forecasting for anomaly detection on ECG

David Atienza Alonso, Denisa-Andreea Constantinescu

Background and Objective: Cardiovascular diseases, a leading cause of noncommunicable disease-related deaths, require early and accurate detection to improve patient outcomes. Taking advantage of advances in machine learning and deep learning, multiple app ...

Elsevier BV2025

Emulation-Based Transient Thermal Modeling of 2D/3D Systems-on-Chip with Active Cooling

David Atienza Alonso

New tendencies envisage 2D and 3D Multi-Processor Systems-On-Chip (MPSoCs) as a promising solution for the consumer electronics market. MPSoCs are complex to design, as they must execute multiple applications (games, video), while meeting additional design ...

IEEE Press2009

Multicore thermal management using approximate explicit Model Predictive Control

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

Meeting temperature constraints and reducing the hot-spots are critical for achieving reliable and efficient operation of complex multi-core systems. In this paper we aim at achieving an online smooth thermal control action that minimizes the performance l ...

IEEE Press2010