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David Atienza Alonso

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Publications associées (385)

Improving Reliability of Embedded Systems through Dynamic Memory Manager Optimization using Grammatical Evolution

David Atienza Alonso, José Luis Risco Martin

Technology scaling has offered advantages to embedded systems, such as increased performance, more available memory and reduced energy consumption. However, scaling also brings a number of problems like reliability degradation mechanisms. The intensive act ...

ACM Press2010

HOLLOWS: A Power-Aware Task Scheduler for Energy Harvesting Sensor Nodes

David Atienza Alonso

Energy-harvesting sensor nodes (EHSNs) have stringent low-energy consumption requirements, but they need to concurrently execute several types of tasks (processing, sensing, actuation, etc). Furthermore, no accurate models exist to predict the energy harve ...

SAGE Publications2010

Emulation-based transient thermal modeling of 2D/3D systems-on-chip with active cooling

David Atienza Alonso, Pablo Garcia del Valle

State-of-the-art devices in the consumer electronics market are relying more and more on Multi-Processor Systems-On-Chip (MPSoCs) as an efficient solution to meet their multiple design constrains, such as low cost, low power consumption, high performance a ...

Elsevier2010

Scalable instruction set simulator for thousand-core architectures running on GPGPUs

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

Simulators are still the primary tools for development and performance evaluation of applications running on massively parallel architectures. However, current virtual platforms are not able to tackle the complexity issues introduced by 1000-core future sc ...

IEEE Press2010

Evaluation and Design Exploration of Solar Harvested-Energy Prediction Algorithm

David Atienza Alonso

To respond to variations in solar energy, harvestedenergy prediction is essential to harvested-energy management approaches. The effectiveness of such approaches is dependent on both the achievable accuracy and computation overhead of prediction algorithm ...

ACM/IEEE Press2010

Neural Network based On-Chip Thermal Simulator

David Atienza Alonso, Pratyush Kumar

With increasing power densities, runtime thermal management is becoming a necessity in today’s systems, especially so for highly integrated Multi-Processor Systems-on-Chip (MPSoCs). In this paper, we propose a neural network (NN) based approach to implemen ...

IEEE Press2010

Scalable Instruction Set Simulator for Thousand-core Architectures Running on GPGPUs

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

IEEE Press2010

Simulation of High-Performance Memory Allocators

David Atienza Alonso, José Luis Risco Martin

Current general-purpose memory allocators do not provide sufficient speed or flexibility for modern highperformance applications. To optimize metrics like performance, memory usage and energy consumption, software engineers often write custom allocators fr ...

IEEE Press2010

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

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

Thermal-Aware Design of of 3D ICs with Inter-Tier Liquid Cooling

David Atienza Alonso

Advances in manufacturing technologies are enabling the development of 3D multi-processor ICs, but heat in 3D stacking can lead to degraded performance due to higher power density, which derives from the placement of computational units and storage compone ...

IEEE Press2010

Multicore thermal management using approximate explicit Model Predictive Control

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

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

3D-ICE: Fast compact transient thermal modeling for 3D-ICs with inter-tier liquid cooling

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

Three dimensional stacked integrated circuits (3D ICs) are extremely attractive for overcoming the barriers in interconnect scaling, offering an opportunity to continue the CMOS performance trends for the next decade. However, from a thermal perspective, v ...

ACM and IEEE Press2010

Adaptive Task Migration Policies for Thermal control in MPSoCs

David Atienza Alonso

In deep submicron circuits, high temperatures have created critical issues in reliability, timing, performance, coolings costs and leakage power. Task migration techniques have been proposed to manage efficiently the thermal distribution in multi-processor ...

IEEE Computer Society2010

Temperature sensor placement in thermal management systems for MPSoCs

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

Modern high-performance processors employ ther- mal 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 rel ...

IEEE2010

A Parallel Evolutionary Algorithm to Optimize Dynamic Memory Managers in Embedded Systems

David Atienza Alonso, José Luis Risco Martin

For the last 30 years, several dynamic memory managers (DMMs) have been proposed. Such DMMs include first fit, best fit, segregated fit and buddy systems. Since the performance, memory usage and energy consumption of each DMM differs, software engineers of ...

Elsevier2010

Temperature Sensor Placement in Thermal Management Systems for MPSoCs

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

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 ...

IEEE Press2010

Thermal-Aware Compilation for Register Window-Based Embedded Processors

David Atienza Alonso, Mohamed Mostafa Sabry Aly

The development of compiler-based mechanisms to optimize the thermal profile of large register files to improve the processor reliability has become an important issue. Thermal hotspots have been known to cause severe reliability issues, while the thermal ...

Institute of Electrical and Electronics Engineers2010

Fuzzy Control for Enforcing Energy Efficiency in High-Performance 3D Systems

David Atienza Alonso, Ayse Kivilcim Coskun, Mohamed Mostafa Sabry Aly

3D stacked circuits reduce communication delay in multicore system-on-chips (SoCs) and enable heterogeneous integration of cores, memories, sensors, and RF devices. However, vertical integration of layers exacerbates the reliability and thermal problems, a ...

IEEE Press2010

Energy-Efficient Variable-Flow Liquid Cooling in 3D Stacked Architectures

David Atienza Alonso, Ayse Kivilcim Coskun, Bruno Michel

Liquid cooling has emerged as a promising solution for addressing the elevated temperatures in 3D stacked architectures. In this work, we first propose a framework for detailed thermal modeling of the microchannels embedded between the tiers of the 3D syst ...

ACM/IEEE Press2010

Multicore thermal management using approximate explicit model predictive control

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

IEEE2010

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