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检索条件"任意字段=International Symposium on Software Engineering for Parallel and Distributed Systems"

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A configurable high-throughput linear sorter system

A configurable high-throughput linear sorter system

引用

IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Jorge Ortiz David Andrews Information and Telecommunication Technology Center Lawrence KS USA Computer Science and Computer Engineering University of Arkansas Fayetteville AR USA

ISBN: (纸本)9781424465330

Popular sorting algorithms do not translate well into hardware implementations. Instead, hardware-based solutions like sorting networks and linear sorters exploit parallelism to increase sorting efficiency. Linear sorters, built from identical nodes with simple control, have less area and latency than sorting networks, but they are limited in their throughput. We present a system composed of multiple linear sorters acting in parallel in order to increase throughput. Interleaving is used to increase bandwidth and allow sorting of multiple values per clock cycle, and the amount of interleaving and depth of the linear sorters can be adapted to suit specific applications. Implementation of this system into a Field Programmable Gate Array (FPGA) results in a speedup of 68 compared to quicksort running in a MicroBlaze processor.

关键词： Sorting Hardware Throughput parallel processing Field programmable gate arrays Delay Interleaved codes Clocks Data processing Application software

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Improving MapReduce fault tolerance in the cloud

Improving MapReduce fault tolerance in the cloud

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IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Qin Zheng Institute of High Performance Computing Singapore

ISBN: (纸本)9781424465330

MapReduce has been used at Google, Yahoo, FaceBook etc., even for their production jobs. However, according to a recent study, a single failure on a Hadoop job could cause a 50% increase in completion time. Amazon Elastic MapReduce has been provided to help users perform data-intensive tasks for their applications. These applications may have high fault tolerance and/or tight SLA requirements. However, MapReduce fault tolerance in the cloud is more challenging as topology control and (data) rack locality currently are not possible. In this paper, we investigate how redundent copies can be provisioned for tasks to improve MapReduce fault tolerance in the cloud while reducing latency.

关键词： Fault tolerance High performance computing Facebook Job production systems Topology Availability Cloud computing Delay Open source software Disk drives

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A survey on bee colony algorithms

A survey on bee colony algorithms

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IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Salim Bitam Mohamed Batouche El-ghazali Talbi Computer science Department Mohamed Khider University Biskra Algeria COEIA-CCIS King Saud University Riyadh Saudi Arabia INRIA University of Lille (USTL) Lille France

ISBN: (纸本)9781424465330

This paper presents a survey of current research activities inspired by bee life. This work is intended to provide a broad and comprehensive view of the various principles and applications of these bio-inspired systems. We propose to classify them into two major models. The first one is based on the foraging behavior in the bee quotidian life and the second is inspired by the marriage principle. Different original studies are described and classified along with their applications, comparisons against other approaches and results. We then summarize a review of their derived algorithms and research efforts.

关键词： Biological system modeling Insects Evolution (biology) Ant colony optimization Radiofrequency interference Computer science Application software Testing Biology computing Computational biology

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How Algorithm Definition Language (ADL) improves the performance of SmartGridSolve applications

How Algorithm Definition Language (ADL) improves the perform...

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IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Michele Guidolin Thomas Brady Alexey Lastovetsky School of Engineering University of Exeter Exeter UK School of Computer Science and Informatics University College Dublin Dublin Ireland

ISBN: (纸本)9781424465330

In this paper, we study the importance of languages for the specification of algorithms in high performance Grid computing. We present one such language, the Algorithm Definition Language (ADL), designed and implemented for the use in conjunction with SmartGridSolve. We demonstrate that the use of this type of language can significantly improve the performance of Grid applications. We discuss how ADL can be used to improve the execution of some typical algorithms that use conditional statements, iterative computations and adaptive methods. We present experimental results demonstrating significant performance gains due to the use of ADL.

关键词： Programming profession Middleware Grid computing Runtime Algorithm design and analysis Heuristic algorithms Mesh generation Application software Computer science Informatics

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Resource management of enterprise cloud systems using layered queuing and historical performance models

Resource management of enterprise cloud systems using layere...

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IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： David A. Bacigalupo Jano van Hemert Asif Usmani Donna N. Dillenberger Gary B. Wills Stephen A. Jarvis School of Electronics and Computer Science University of Southampton UK Data-Intensive Research Group School of Informatics University of Edinburgh UK BRE Centre of Fire Safety Engineering School of Engineering University of Edinburgh UK IBM Thomas J. Watson Research Center Yorktown Heights NY USA High Performance Systems Group Department of Computer Science University of Warwick UK

ISBN: (纸本)9781424465330

The automatic allocation of enterprise workload to resources can be enhanced by being able to make `what-if' response time predictions, whilst different allocations are being considered. It is important to quantitatively compare the effectiveness of different prediction techniques for use in cloud infrastructures. To help make the comparison of relevance to a wide range of possible cloud environments it is useful to consider the following. 1.) urgent cloud customers such as the emergency services that can demand cloud resources at short notice (e.g. for our FireGrid emergency response software). 2.) dynamic enterprise systems, that must rapidly adapt to frequent changes in workload, system configuration and/or available cloud servers. 3.) The use of the predictions in a coordinated manner by both the cloud infrastructure and cloud customer management systems. 4.) A broad range of criteria for evaluating each technique. However, there have been no previous comparisons meeting these requirements. This paper, meeting the above requirements, quantitatively compares the layered queuing and (¿HYDRA¿) historical techniques - including our initial thoughts on how they could be combined. Supporting results and experiments include the following: i.) defining, investigating and hence providing guidelines on the use of a historical and layered queuing model; ii.) using these guidelines showing that both techniques can make low overhead and typically over 70% accurate predictions, for new server architectures for which only a small number of benchmarks have been run; and iii.) defining and investigating tuning a prediction-based cloud workload and resource management algorithm.

关键词： Resource management Clouds Delay Predictive models Computer science Data engineering Emergency services Disaster management Guidelines Quality of service

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A novel topology family of single stage ACDC converter with PFC

A novel topology family of single stage ACDC converter with ...

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IEEE international symposium on Power Electronics for distributed Generation systems (PEDG)

作者： Jinhua Liu Xuejun Ma Department of Control Science and Engineering Hubei Normal University Huangshi China

A circuit topologies family of single-stage parallel uninterruptible AC/DC converter with high power factor are presented. The topology includes four sections, i.e. full bridge rectifier, parallel converter with power factor correction(PFC), uninterruptible power supply and fast output voltage regulation. The converter has lots of advantages such as: single stage power conversion, uninterruptible power supply, high power factor, electrical isolation between battery and AC input, fast regulation speed of the output voltage. The operational modes, control principle, and design method of key parameters are proposed. A prototype of 1kW is designed. The performance of the proposed scheme is verified through the experimntal result.

关键词： Stress Voltage control Batteries DC-DC power converters Reactive power Uninterruptible power systems

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Experimental Analysis of Coordination Strategies to Support Wireless Sensor Networks Composed by Static Ground Sensors and UAV-Carried Sensors

Experimental Analysis of Coordination Strategies to Support ...

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international symposium on parallel and distributed Processing with Applications, ISPA

作者： Edison Pignaton de Freitas Tales Heimfarth Carlos Eduardo Pereira Armando Morado Ferreira Flavio Rech Wagner Tony Larsson School of Information Science Computer and Electrical Engineering Halmstad University Halmstad Sweden Institute of Informatics Federal University of Rio Grande do Sul Porto Alegre Brazil Computer Science Department Federal University of Lavras Lavras Brazil Military Institute of Engineering Rio de Janeiro Brazil

This paper presents a comparison among different strategies to coordinate the use of heterogeneous wireless sensors aimed for area surveillance. The heterogeneity among the sensor nodes is related to their sensing and mobility capabilities. The goal of the strategies is to provide coordination among the different nodes, in order to make the wireless sensor network perform its missions with higher efficiency. Strategies combine advantages of bio-inspired and utility-based approaches to coordination. Simulations of scenarios with different characteristics were performed and the results are compared and analyzed.

关键词： Unmanned aerial vehicles Wireless sensor networks Surveillance Mobile communication Sensor systems Target tracking

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parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs

Parallelization of tau-leap coarse-grained Monte Carlo simul...

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international symposium on parallel and distributed Processing (IPDPS)

作者： Lifan Xu Michela Taufer Stuart Collins Dionisios G. Vlachos Department of Computer & Information Sciences University of Delaware USA Department of Chemical Engineering University of Delaware USA

The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important tools for studying phenomena such as catalysis, crystal growth, surface diffusion, phase transitions on single crystals, and cell membrane receptor dynamics. In parallel CGMC, the tau-leap method is used for parallel simulations that are executed on traditional CPU clusters in a master-slave setting. Unfortunately the communications between master and slaves negatively impact speedup and scalability. In this paper, we explore the potentials of GPUs for the tau-leap method and we present an extensive performance evaluation that leads to the most suitable degree of parallelism for this method under different simulation profiles. We show how the efficient parallelization of the tau-leap method for GPUs includes (1) the redefinition of its data structures, (2) the redesign of its algorithm, and (3) the selection of the most appropriate degree of parallelism (i.e., fine-grained or course-gained) on a single GPU or multiple GPUs. Exceptional performance improvements can thus be achieved for this method.

关键词： Microscopy parallel programming Monte Carlo methods parallel processing Acceleration Stochastic systems Computational modeling Crystals Cells (biology) Biomembranes

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Diagnosing permanent faults in distributed and parallel computing systems using artificial neural networks

Diagnosing permanent faults in distributed and parallel comp...

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IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Mourad Elhadef College of Engineering and Computer Science Abu Dhabi University Abu Dhabi UAE

ISBN: (纸本)9781424465330

This paper deals with the problem of identifying faulty nodes (or units) in diagnosable distributed and parallel systems under the PMC model. In this model, each unit is tested by a subset of the other units, and it is assumed that, at most, a bounded subset of these units is permanently faulty. When performing testing, faulty units can incorrectly claim that fault-free units are faulty or that faulty units are fault-free. Since the introduction of the PMC model, significant progress has been made in both theory and practice associated with the original model and its offshoots. Nevertheless, this problem of efficiently identifying the set of faulty units of a diagnosable system remained an outstanding research issue. In this paper, we describe a new neural-network-based diagnosis algorithm, which exploits the off-line learning phase of artificial neural network to speed up the diagnosis algorithm. The novel approach has been implemented and evaluated using randomly generated diagnosable systems. The simulation results showed that the new neural-network-based fault identification approach constitutes an addition to existing diagnosis algorithms. Extreme faulty situations, where the number of faults is around the bound t, and large diagnosable systems have been also experimented to show the efficiency of the new neural-network-based diagnosis algorithm.

关键词： parallel processing Artificial neural networks Fault diagnosis Testing Signal processing algorithms Fault tolerance Military computing Educational institutions Computer science Performance evaluation

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Incentive mechanisms in peer-to-peer networks

Incentive mechanisms in peer-to-peer networks

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IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Pedro Dias Rodrigues Carlos Ribeiro Luís Veiga INESC ID Lisboa / Instituto Superior Técnico Universidade Técnica de Lisboa Lisboa Portugal

ISBN: (纸本)9781424465330

In the last few years, peer-to-peer systems became well known to the general public by allowing fast and simple exchange of resources between users. The complexity of these systems resides in the absence of a central authority and the fact that each user can act both as a client and as a server. Thus, a need for self-regulation arises in order to guarantee that every user contributes to the system. This paper describes our work developing incentive mechanisms, which enable the correct operation of peer-to-peer systems, imposing a balance between demand for resources and the existing offer. All incentive mechanisms take into account the attacks these systems are subject to, as well as the system's structure, so that they do not pose an unnecessary burden, slowing down the system excessively. We explore concepts such as reputation and currency, which are used in other systems and, most importantly, in our everyday life, enabling a coherent scheme to detect untrustworthy users and reward truthful peers with faster access to the resources. Our work is part of a larger project called GINGER, an acronym for Grid In a Non-Grid Environment, a peer-to- peer infrastructure intended to ease the sharing of computer resources between users.

关键词： Peer to peer computing Robustness Grid computing Computer networks Application software Computer architecture Control systems Authentication Bioinformatics Communication system security

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