Výsledky vyhľadávania - "2012 IEEE 10th International Symposium on Parallel AND Distributed Processing with Applications*"

Adaptive Computation Offloading from Mobile Devices into the Cloud Autor Kovachev, D., Tian Yu, Klamma, R.

“…The inherently limited processing power and battery lifetime of mobile phones hinder the possible execution of computationally intensive applications like…”
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Fairness Resource Sharing for Dynamic Workflow Scheduling on Heterogeneous Systems Autor Arabnejad, H., Barbosa, J.

“…For most Heterogeneous Computing Systems (HCS) the completion time of an application is the most important requirement. Many applications are represented by a…”
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Towards an Infrastructure Description Language for Modeling Computing Infrastructures Autor Ghijsen, M., van der Ham, J., Grosso, P., de Laat, C.

“…This paper describes the Infrastructure and Network Description Language (INDL). The aim of INDL is to provide technology independent descriptions of computing…”
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A Scalable NoC Router Design Providing QoS Support Using Weighted Round Robin Scheduling Autor Heißwolf, J., Konig, R., Becker, J.

“…Networks on Chip are the most promising approach to cope with communication requirements in future many core SoCs. Depending on the executed applications,…”
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Block Tridiagonal Solvers on Heterogeneous Architectures Autor Valero-Lara, P., Pinelli, A., Favier, J., Matias, M. P.

“…Modern multi-core and many-core systems offer a very impressive cost/performance ratio. In this paper a set of new parallel implementations for the solution of…”
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Semantically Augmented Exploitation of Pervasive Environments by Intelligent Agents Autor Amato, A., Di Martino, B., Venticinque, S.

“…Mobile devices can be used to improve the exploitation of reality by the user in pervasive environments. In this paper we present a software framework for…”
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A Holistic Model for Making Cloud Migration Decision: A Consideration of Security, Architecture and Business Economics Autor Johnson, B., Yanzhen Qu

“…The emergence of cloud computing services has created an additional dimension in the decision for creating a new business plan which requires computing…”
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Portfolio Management Using Particle Swarm Optimization on GPU Autor Sharma, B., Thulasiram, R. K., Thulasiraman, P.

“…Mathematical models like the Black-Scholes-Merton model used to price options approximately for simple and plain options in the form of closed form solution…”
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A Simulation Study of Multi-criteria Scheduling in Grid Based on Genetic Algorithms Autor Gkoutioudi, K., Karatza, H. D.

“…Job scheduling is a critical mechanism which can affect significantly the performance of complex heterogeneous distributed systems, such as Grids. Since,…”
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Virtualizing General Purpose GPUs for High Performance Cloud Computing: An Application to a Fluid Simulator Autor Di Lauro, R., Giannone, F., Ambrosio, L., Montella, R.

“…In this work we present an hypervisor-independent GPU Virtualization Service named GVirtus. It instantiates virtual machines able to access to the GPU in a…”
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An Energy Manager for High Performance Computer Clusters Autor Alvarruiz, F., de Alfonso, C., Caballer, M., Hern'ndez, V.

“…This paper presents a general energy management system for HPC clusters and cloud infrastructures that powers off cluster nodes when they are not being used,…”
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Towards the Dynamic Load Balancing on Heterogeneous Multi-GPU Systems Autor Acosta, Alejandro, Blanco, Vicente, Almeida, Francisco

“…The advent of multicore systems, joined to the potential acceleration of the graphics processing units, alleviates some well known important architectural…”
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PASS: A Hybrid Storage System for Performance-Synchronization Tradeoffs Using SSDs Autor Weijun Xiao, Xiaoqiang Lei, Ruixuan Li, Nohhyun Park, Lilja, D. J.

“…Recent advances in flash memory show great potential to replace traditional hard drives (HDDs) with flash-based solid state drives (SSDs) from personal…”
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SIaaS - Sensing Instrument as a Service Using Cloud Computing to Turn Physical Instrument into Ubiquitous Service Autor Di Lauro, R., Lucarelli, F., Montella, R.

“…Sensing Instrument as a Service (SIaaS) is a new cloud service that allows users to use data acquisition instruments shared through cloud infrastructure. It…”
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Enabling Large-Scale Bioinformatics Data Analysis with Cloud Computing Autor Karlsson, J., Torreno, O., Ramet, D., Klambauer, G., Cano, M., Trelles, O.

“…The petabyte scale of the Big Data generation in bioinformatics requires the introduction of advanced computational techniques to enable efficient knowledge…”
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Static Multi-device Load Balancing for OpenCL Autor de la Lama, C. S., Toharia, P., Bosque, J. L., Robles, O. D.

“…This paper presents the Load Balancing for OpenCL (lbcl) library, devoted to automatically solve load balancing issues on both multi-platform and heterogeneous…”
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Extending Amdahl's Law for Heterogeneous Computing Autor Marowka, A.

“…Energy will be a major limiting factor in future multi-core architectures, so optimizing performance per watt should be a key driver for next generation…”
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4CaaSt: Comprehensive Management of Cloud Services through a PaaS Autor Garcia-Gomez, Sergio, Escriche-Vicente, Manuel, Arozarena-Llopis, Pablo, Jimenez-Ganan, Miguel, Lelli, Francesco, Taher, Yehia, Biro, Jozsef, Momm, Christof, Spriestersbach, Axel, Vogel, Jurgen, Le Jeune, Goulven, Giessmann, Andrea, Junker, Frederic, Dao, Michel, Carrie, Stephane P., Niemoller, Joerg, Mazmanov, Dimitri

“…The 4CaaSt project aims at developing a PaaS framework that enables flexible definition, marketing, deployment and management of Cloud-based services and…”
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Efficient GPU Asynchronous Implementation of a Watershed Algorithm Based on Cellular Automata Autor Quesada-Barriuso, P., Heras, D. B., Arguello, F.

“…The watershed transform is a widely used method for non-supervised image segmentation, especially suitable for low-contrast images. In this paper we show that…”
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Reducing Energy Consumption of Dense Linear Algebra Operations on Hybrid CPU-GPU Platforms Autor Alonso, P., Dolz, M. F., Igual, F. D., Mayo, R., Quintana-Orti, E. S.

“…We investigate the balance between the time-to-solution and the energy consumption of a task-parallel execution of the Cholesky and LU factorizations on a…”
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