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检索条件"机构=Dept. of Computer Architecture and Automation"

共 45 条记录，以下是31-40 订阅

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Parameter Analysis of Monte Carlo Simulation Model for Improvement of Its Performance with High Accuracy of Reliability Estimations of Radiocommunication Equipment

Parameter Analysis of Monte Carlo Simulation Model for Impro...

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International Siberian Conference on Control and Communications

作者： Alexander Lyubchenko Stanislav Bartosh Pedro A. Castillo Maribel G. Arenas Evgeniy Kopytov Institute of Automation Telecommunication and IT Omsk State Transport University Omsk Russian Federation Dept. of Computer Architecture and Technology University of Granada Granada Spain Dept. of Communication and Information Safety Omsk State Technical University Omsk Russian Federation

ISBN: (纸本)9781467383844

computer based simulation technology remains one of the most popular approaches in the research field. It has the advantages with comparison to analytical methods for some applications. However, it requires implementing procedures devoted to the determination of developing simulation model's parameters in order to provide better performance and accuracy of the results. In the paper, the developed model of functioning process of the radiocommunication devices was briefly described. Parameters estimation of the model was performed and the smoothing and interpolation methods were chosen.

关键词： simulation smoothing interpolation reliability indexes availability radicommunication devices

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Local energy micro-storage systems in smart communities with active, reactive and harmonic control

Local energy micro-storage systems in smart communities with...

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International Conference on Environment and Electrical Engineering (EEEIC)

作者： María-Isabel Milanés-Montero Eva González- Romera Fermín Barrero-González Enrique Romero-Cadaval Antonio Moreno-Munoz Universidad de Extremadura Caceres Extremadura ES Electrical Electronic and Automation Engineering Dept. University of Extremadura Badajoz Spain Computer Architecture Electronics and Electronic Technology Department Universidad de Córdoba Córdoba Spain

ISBN: (纸本)9781509023219

This paper aims to provide control strategies for distributed micro-storage energy systems at the residential level to contribute to smart grid goals. The operation of local Energy Storage Systems (ESS) at homes in a Smart Community with distributed generation based of renewable energies is analyzed by simulation. Each individual home receive the active and reactive power set-points from the Smart Community Energy Management System (SCEMS), acting as an aggregator of resources in the community according to the expected demand and production. Besides, in case the ESS has got available capacity, once the SCEMS requirements are satisfied, it is used to inject the harmonic current components demanded by the household circuitry. It allows a local improvement in the power quality of the demanded current, and so contributes to the global power quality consumption of the community. Simulation results showing the operation of the local ESS are presented to validate the proposed control strategies.

关键词： Harmonic analysis Reactive power Simulation Power quality Batteries Power system harmonics

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Optimizing performance of L1 cache memory for embedded systems driven by differential evolution 15

Optimizing performance of L1 cache memory for embedded syste...

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17th Genetic and Evolutionary Computation Conference, GECCO 2015

作者： Álvarez, Josefa Díaz Colmenar, J. Manuel Risco-Martín, José L. Lanchares, Juan Garnica, Oscar Centro Univ. Mérida Univ. de Extremadura Mérida06800 Spain Dept. of Computer Science and Statistics Univ. Rey Juan Carlos Móstoles28933 Spain Department of Computer Architecture and Automation Univ. Complutense de Madrid Madrid28040 Spain

Embedded systems, mainly battery-powered, must guarantee low power consumption and good performance. The cache memory design is crucial in embedded systems. Given the high number of parameters and their ranges of valu... 详细信息

ISBN: (纸本)9781450334884

关键词： Embedded systems

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A performance/cost model for a CUDA drug discovery application on physical and public cloud infrastructures

A performance/cost model for a CUDA drug discovery applicati...

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作者： Guerrero, Ginés D. Wallace, Richard M. Vázquez-Poletti, José L. Cecilia, José M. García, José M. Mozos, Daniel Pérez-Sánchez, Horacio Dept. of Computer Architecture University of Murcia 30080 Murcia Spain Dept. of Computer Architecture and Automation Complutense University of Madrid 28040 Madrid Spain Dept. of Computer Science Catholic University of Murcia 30107 Murcia Spain

Virtual Screening (VS) methods can considerably aid drug discovery research, predicting how ligands interact with drug targets. BINDSURF is an efficient and fast blind VS methodology for the determination of protein binding sites, depending on the ligand, using the massively parallel architecture of graphics processing units(GPUs) for fast unbiased prescreening of large ligand databases. In this contribution, we provide a performance/cost model for the execution of this application on both local system and public cloud infrastructures. With our model, it is possible to determine which is the best infrastructure to use in terms of execution time and costs for any given problem to be solved by BINDSURF. Conclusions obtained from our study can be extrapolated to other GPU-based VS methodologies. Copyright © 2013 John Wiley & Sons, Ltd.

关键词： Ligands

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POSTER: Performance evaluation of a signal extraction algorithm for the Cherenkov Telescope Array's Real Time Analysis pipeline 16

POSTER: Performance evaluation of a signal extraction algori...

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16th IEEE International Conference on Cluster Computing, CLUSTER 2014

作者： Rodriguez-Vazquez, Juan Jose Vazquez-Poletti, Jose Luis Delgado, Carlos Bulgarelli, Andrea Cardenas-Montes, Miguel Department of Fundamental Research CIEMAT Avda. Complutense 40 Madrid28040 Spain Dept. of Computer Architecture and Automation Complutense University of Madrid C/ Profesor José García Santesmases s/n Madrid28040 Spain Istituto di Astrofisica Spaziale e Fisica Cosmica - Bologna Istituto Nazionale di Astrofisica Via Piero Gobetti 101 Bologna40129 Italy

ISBN: (纸本)9781479955480

In this paper, several versions of a signal extraction algorithm, pertaining to the entry stage of the Cherenkov Telescope Array's Real Time Analysis pipeline, were implemented and optimised using SSE2, POSIX threads and CUDA. Results of this proof of concept let us gain an insight into the suitability of each platform, and the performance each one can deliver, to carry out this particular task. © 2014 IEEE.

关键词： Pipelines

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POSTER: Performance evaluation of a signal extraction algorithm for the Cherenkov Telescope Array's Real Time Analysis pipeline

POSTER: Performance evaluation of a signal extraction algori...

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IEEE International Conference on Cluster Computing

作者： Juan José Rodríguez-Vázquez José Luis Vázquez-Poletti Carlos Delgado Andrea Bulgarelli Miguel Cárdenas-Montes Department of Fundamental Research CIEMAT Madrid Spain Dept. of Computer Architecture and Automation Complutense University of Madrid Madrid Spain Istituto di Astrofisica Spaziale e Fisica Cosmica Bologna /Istituto Nazionale di Astrofisica Bologna Italy

关键词： Graphics processing units Telescopes Real-time systems Pipelines Random access memory Central Processing Unit Throughput

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An evolutionary methodology for automatic design of finite state machines

An evolutionary methodology for automatic design of finite s...

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15th Annual Conference on Genetic and Evolutionary Computation, GECCO 2013

作者： Manuel Colmenar, J. Cuesta-Infante, Alfredo Risco-Martín, José L. Hidalgo, J. Ignacio C.E.S. Felipe II Complutense University of Madrid 28300 Aranjuez Spain Dept. of Computer Architecture and Automation Complutense University of Madrid 28040 Madrid Spain

ISBN: (纸本)9781450319645

We propose an evolutionary flow for finite state machine in- ference through the cooperation of grammatical evolution and a genetic algorithm. This coevolution has two main ad- vantages. First, a high-level description of the target prob- lem is accepted by the flow, being easier and affordable for system designers. Second, the designer does not need to de- fine a training set of input values because it is automatically generated by the genetic algorithm at run time. Our exper- iments on the sequence recognizer and the vending machine problems obtained the FSM solution in 99.96% and 100% of the optimization runs, respectively.

关键词： Genetic programming

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A combination of evolutionary algorithm and mathematical programming for the 3D thermal-aware floorplanning problem 11

A combination of evolutionary algorithm and mathematical pro...

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13th Annual Genetic and Evolutionary Computation Conference, GECCO 2011

作者： Cuesta, David Risco-Martín, José L. Ayala, José L. Hidalgo, J. Ignacio Dept. of Computer Architecture and Automation Universidad Complutense de Madrid C/ Prof. José García Santesmases s/n 28040 Madrid Spain

ISBN: (纸本)9781450305570

1Heat removal and power density distribution delivery have become two major reliability concerns in 3D stacked technology. Additionally, the placement of Through-Silicon-Vias (TSVs) for connecting different layers is one of the key issues in 3D technology. Although a few recent works have considered thermal-aware placement of cores in chip multiprocessor architectures, the concepts of 3D and TSVs have not been conveniently incorporated. Therefore, new suitable exploration methods for the 3D thermal-aware floorplaning problem need to be developed. In this paper we analyze the benefits of two different exploration techniques for the floorplanning problem: Multi-Objective Genetic Algorithm (MOGA) and a Mixed Integer Linear Program (MILP). We present a novel algorithm that uses MILP to minimize average temperature in the 3D chip, whereas uses MOGA to insert TSVs, connecting the layers while the total wire length is minimized. Our experiments with two different 3D chips show that our algorithm achieves 10% reduction in the maximum temperature and thermal gradient. Copyright 2011 ACM.

关键词： Multiobjective optimization

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Multi-objective optimization of dynamic memory managers using grammatical evolution 11

Multi-objective optimization of dynamic memory managers usin...

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13th Annual Genetic and Evolutionary Computation Conference, GECCO 2011

作者： Colmenar, J. Manuel Risco-Martín, José L. Atienza, David Hidalgo, J. Ignacio C.E.S. Felipe II Complutense University of Madrid 28300 Aranjuez Spain Dept. of Computer Architecture and Automation Complutense University of Madrid 28040 Madrid Spain EPFL 1015 Lausanne Switzerland

ISBN: (纸本)9781450305570

The dynamic memory manager (DMM) is a key element whose customization for a target application reports great benefits in terms of execution time, memory usage and energy consumption. Previous works presented algorithms to automatically obtain custom DMMs for a given application. Nevertheless, those approaches are based on grammatical evolution where the fitness is built as an aggregate objective function, which does not completely exploit the search space, returning the designer the DMM solution with best fitness. However, this approach may not find solutions that could fit in a concrete hardware platform due to a very low value of one of the objectives while the others remain high, which may represent a high fitness. In this work we present the first multi-objective optimization methodology applied to DMM optimization where the Pareto dominance is considered, thus providing the designer with a set of non-dominated DMM implementations on each optimization run. Our results show that the multi-objective optimization provides Pareto-optimal alternatives due to a better exploitation of the search space obtaining better hypervolume values than the aggregate objective function approach. Copyright 2011 ACM.

关键词： Aggregates

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Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolution 10

Improving reliability of embedded systems through dynamic me...

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12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010

作者： Manuel Colmenar, J. Risco-Martín, José L. Atienza, David Garnica, Osear Hidalgo, J. Ignacio Lanchares, Juan C.E.S. Felipe II Complutense University of Madrid 28300 Aranjuez Spain Dept. of Computer Architecture and Automation Complutense University of Madrid 28040 Madrid Spain EPFL 1015 Lausanne Switzerland

ISBN: (纸本)9781450300728

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 activity of devices and high operating temperatures are key factors for reliability degradation in latest technology nodes. Focusing on embedded systems, the memory is prone to suffer reliability problems due to the intensive use of dynamic memory on wireless and multimedia applications. In this work we present a new approach to automatically design dynamic memory managers considering reliability, and improving performance, memory footprint and energy consumption. Our approach, based on Grammatical Evolution, obtains a maximum improvement of 39% in execution time, 38% in memory usage and 50% in energy consumption over state-of-the-art dynamic memory managers for several real-life applications. In addition, the resulting distributions of memory accesses improve reliability. To the best of our knowledge, this is the first proposal for automatic dynamic memory manager design that considers reliability. Copyright 2010 ACM.

关键词： Genetic programming

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