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See detailEnergy-Performance Optimization for the Cloud
Pinel, Frédéric UL

Doctoral thesis (2014)

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See detailEvaluating the HPC Performance and Energy-Efficiency of Intel and ARM-based systems with synthetic and bioinformatics workloads
Plugaru, Valentin UL; Varrette, Sébastien UL; Pinel, Frédéric UL et al

Report (2014)

The increasing demand for High Performance Computing (HPC) paired with the higher power requirements of the ever-faster systems has led to the search for both performant and more energy-efficient ... [more ▼]

The increasing demand for High Performance Computing (HPC) paired with the higher power requirements of the ever-faster systems has led to the search for both performant and more energy-efficient architectures. This article compares and contrasts the performance and energy efficiency of two modern, traditional Intel Xeon and low power ARM-based clusters, which are tested with the recently developed High Performance Conjugate Gradient (HPCG) benchmark and the ABySS, FASTA and MrBayes bioinformatics applications. We show a higher Performance per Watt valuation of the ARM cluster, and lower energy usage during the tests, which does not offset the much faster job completion rate obtained by the Intel cluster, making the latter more suitable for the considered workloads given the disparity in the performance results. [less ▲]

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See detailIt's Not a Bug, It'sa Feature: Wait-free Asynchronous Cellular Genetic Algorithm
Pinel, Frédéric UL; Dorronsoro, Bernabé UL; Bouvry, Pascal UL et al

in Wyrzykowski, Roman; Dongarra, Jack (Eds.) Parallel Processing and Applied Mathematics 10th International Conference, PPAM 2013 Warsaw, Poland, September 8–11, 2013 (2014)

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See detailComparing the Performance and Power Usage of GPU and ARM Clusters for Map-Reduce
Delplace, V.; Manneback, P.; Pinel, Frédéric UL et al

in Proc. of the 3rd Intl. Conf. on Cloud and Green Computing (CGC'13) (2013, October)

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See detailSavant: Automatic parallelization of a scheduling heuristic with machine learning
Pinel, Frédéric UL; Dorronsoro, Bernabé UL; Bouvry, Pascal UL et al

in Nature and Biologically Inspired Computing (NaBIC), 2013 World Congress on (2013, August 13)

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See detailSolving very large instances of the scheduling of independent tasks problem on the GPU
Pinel, Frédéric UL; Dorronsoro, Bernabé UL; Bouvry, Pascal UL

in Journal of Parallel & Distributed Computing (2013), 73(1), 101-110

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See detailA survey on resource allocation in high performance distributed computing systems
Hussain, Hameed; Malik, Saif Ur Rehman; Hameed, Abdul et al

in Parallel Computing (2013), 39(11), 709-736

An efficient resource allocation is a fundamental requirement in high performance computing (HPC) systems. Many projects are dedicated to large-scale distributed computing systems that have designed and ... [more ▼]

An efficient resource allocation is a fundamental requirement in high performance computing (HPC) systems. Many projects are dedicated to large-scale distributed computing systems that have designed and developed resource allocation mechanisms with a variety of architectures and services. In our study, through analysis, a comprehensive survey for describing resource allocation in various HPCs is reported. The aim of the work is to aggregate under a joint framework, the existing solutions for HPC to provide a thorough analysis and characteristics of the resource management and allocation strategies. Resource allocation mechanisms and strategies play a vital role towards the performance improvement of all the HPCs classifications. Therefore, a comprehensive discussion of widely used resource allocation strategies deployed in HPC environment is required, which is one of the motivations of this survey. Moreover, we have classified the HPC systems into three broad categories, namely: (a) cluster, (b) grid, and (c) cloud systems and define the characteristics of each class by extracting sets of common attributes. All of the aforementioned systems are cataloged into pure software and hybrid/hardware solutions. The system classification is used to identify approaches followed by the implementation of existing resource allocation strategies that are widely presented in the literature. [less ▲]

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See detailOptimisation of the enhanced distance based broadcasting protocol for MANETs
Ruiz, Patricia UL; Dorronsoro, Bernabé UL; Valentini, Giorgio et al

in Journal of Supercomputing (2012), 62(3), 1213-1240

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See detailA Multi-Objective GRASP for Energy-aware Scheduling
Pecero, Johnatan UL; Pinel, Frédéric UL; Bouvry, Pascal UL et al

in International Congress on Computer Science Research (2011, October 28)

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See detailAn overview of energy efficiency techniques in cluster computing systems
Valentini, Giorgio Luigi; Lassonde, Walter; Khan, Samee Ullah et al

in Cluster Computing (2011), 16(1), 3-15

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See detailEnergy-efficient scheduling on milliclusters with performance constraints
Pinel, Frédéric UL; Pecero, Johnatan UL; Bouvry, Pascal UL et al

in Green Computing and Communications (GreenCom), 2011 IEEE/ACM International Conference on (2011)

Today’s datacenters and large scale enterprise com- puting are power hungry. A lot of research effort is devoted in industry and academy to address this challenging issue. In this context, a new type of ... [more ▼]

Today’s datacenters and large scale enterprise com- puting are power hungry. A lot of research effort is devoted in industry and academy to address this challenging issue. In this context, a new type of enterprise computing platform is being investigated. This computing platform is composed of hundred of millicomputers, each requiring orders of magnitude less power. However, this approach brings challenges that must be met in order to compete with the current practice. This paper addresses two such critical challenges. First, it suggests how to decompose large applications into smaller tasks, better suited to millicomputers. Then, it casts the performance oriented and energy efficient problem into a soft real-time scheduling problem, for which several algorithms are then proposed and evaluated. Sensitivity analysis is used to provide insights into the model, and plan the evaluation of the scheduling algorithms. The contention found in multi-core millicomputing processors is also accounted for. [less ▲]

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See detailA two-phase heuristic for the scheduling of independent tasks on computational grids
Pinel, Frédéric UL; Pecero, Johnatan UL; Bouvry, Pascal UL et al

in High Performance Computing and Simulation (HPCS), 2011 International Conference on (2011)

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See detailEvolutionary Algorithm Parameter Tuning with Sensitivity Analysis
Pinel, Frédéric UL; Danoy, Grégoire UL; Bouvry, Pascal UL

in Security and Intelligent Information Systems (2011)

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See detailEfficient Hierarchical Task Scheduling on GRIDS Accounting for Computation and Communications
Pecero, Johnatan UL; Pinel, Frédéric UL; Dorronsoro, Bernabé UL et al

in Bouvry, Pascal; González-Vélez, Horacio; Kolodziej, Joanna (Eds.) Intelligent Decision Systems in Large-Scale Distributed Environments, 362 (2011)

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See detailA Model for Energy-efficient Task Mapping on Milliclusters
Pinel, Frédéric UL; Bouvry, Pascal UL

in Proceedings of the Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering (2011)

This paper exposes the mismatch between the classic problem representation in the scheduling problem of independent task mapping and the reality of multi-core proces- sors, operating system driven power ... [more ▼]

This paper exposes the mismatch between the classic problem representation in the scheduling problem of independent task mapping and the reality of multi-core proces- sors, operating system driven power management and time sharing for overlapping I/O with computation. A new, simple, model is proposed to address this gap. The model, along with a scheduling heuristic, are applied to the evaluation of software pipelin- ing in the context of the recent millicomputing initiative. [less ▲]

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See detailA Review on Task Performance Prediction in Multi-core Based Systems
Pinel, Frédéric UL; Pecero, Johnatan UL; Bouvry, Pascal UL et al

in Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on (2011)

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See detailMemory-aware Green Scheduling on Multi-core Processors
Pinel, Frédéric UL; Pecero, Johnatan UL; Bouvry, Pascal UL et al

in Proceedings of the Second International Workshop on Green Computing (2010, September 16)

Contention on shared resources such as cache and main memory slows down the execution of the applications affecting not only application performance but also induces inefficient use of energy. Therefore ... [more ▼]

Contention on shared resources such as cache and main memory slows down the execution of the applications affecting not only application performance but also induces inefficient use of energy. Therefore, in this paper we deal with the contention problem and energy optimization on shared resources multicore-based machines. Our main contribution is a memory-aware resource allocation algorithm that minimize energy consumption by reducing contention conflicts and maximizing performance. We design a heuristic that includes in its objective function the impact of the contention on the application performance. Experimental results emphasize the interest of the provided solution. [less ▲]

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See detailA New Parallel Asynchronous Cellular Genetic Algorithm for Scheduling in Grids
Pinel, Frédéric UL; Dorronsoro, Bernabé UL; Bouvry, Pascal UL

in Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on (2010)

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See detailOn the Parallelization of Asynchronous Cellular Genetic Algorithms for Multi-core Architectures.
Pinel, Frédéric UL; Dorronsoro, Bernabé UL; Bouvry, Pascal UL

Scientific Conference (2010)

We propose to study different communication models of a parallel genetic algorithm. The specific algorithm is a parallel asynchronous cellular genetic algorithm targeted at multi-core architectures. The ... [more ▼]

We propose to study different communication models of a parallel genetic algorithm. The specific algorithm is a parallel asynchronous cellular genetic algorithm targeted at multi-core architectures. The models considered are a fine-grain communication based on POSIX locks, a coarse-grain communications (islands), and a fine-grain communication similar to the first one but without protecting access to shared memory. This study applies the different models to well known test problems. [less ▲]

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