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检索条件"任意字段=10th International Conference on Parallel and Distributed Computing, Applications and Technologies"

共 1765 条记录，以下是391-400 订阅

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Development of a distributed parallel Algorithm of 3D Hydrodynamic Calculation of Oil Production on the Basis of MapReduce Hadoop and MPI technologies 13th

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13th international conference on parallel computing technologies (PaCT)

作者： Akhmed-Zaki, Darkhan Mansurova, Madina Imankulov, Timur Matkerim, Bazargul Dadykina, Ekaterina al Farabi Kazakh Natl Univ Alma Ata Kazakhstan

ISBN: (纸本)9783319219097;9783319219080

the developed hybrid model of high performance computing and the realized applications on the basis of MapReduce Hadoop and MPI technologies allow to solve effectively the different classes of oil production problems. Investigations of high performance computing to solve the problem of 3D hydrodynamic calculation of oil production resulted in proposition of a constructive approach to organization of distributed parallel computing using MapReduce Hadoop and MPI technologies for which a general scheme of the iteration infrastructure of MapReduce model is designed;the structure for ful-fillment of map and reduce methods and organization of decomposition of the computational area at different Map/Reduce stages are presented;a computational experiment on specific infrastructure is carried out. As the result of this work the architecture of the system realized on the advantages of MapReduce Hadoop and MPI technologies is constructed.

关键词： MapReduce Hadoop MPI Oil production problems parallel computing distributed computing

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A distributed Particle Filter for Acustic Target Tracking in Wireless Sensor Networks 10

A Distributed Particle Filter for Acustic Target Tracking in...

引用

10th IEEE international conference on Application of Information and Communication technologies (AICT)

作者： Ashkooti, Faroogh Rashidy, Rahim Islamic Azad Univ Mahabad Branch Dept Comp Mahabad Iran Islamic Azad Univ Boukan Branch Dept Comp Boukan Iran

ISBN: (纸本)9781509018413

One of the applications of wireless sensor networks is target tracking. there are several methods to target tracking and among these methods, particle filter has high capability in solving nonlinear/non-Gaussian systems. Particle filter is one of the methods for Bayesian recursive estimation for position estimation in wireless sensor networks. Clustered management of dense networks is a famous known method and has many benefits in comparison with other management schemes of sensor nodes. In this paper we designed a new distributed version of particle filtering which is more compatible with dynamic clustering of nodes. Our method decrease the processing overhead of sensor nodes and output results are more accurate than current distributed versions of particle filtering in target tracking applications.

关键词： Wireless sensor networks target tracking posterior probability density sequential Monte Carlo particle filter

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Visual Quality Estimation Technique for Services in Cloud Environments 10

Visual Quality Estimation Technique for Services in Cloud En...

引用

10th IEEE international conference on Application of Information and Communication technologies (AICT)

作者： Skatkov, Aleksandr Mashchenko, Elena Shevchenko, Victoria Voronin, Dmitry Sevastopol State Univ Sevastopol Russia

ISBN: (纸本)9781509018413

Scientific problems, related to the interaction between IT-services suppliers and consumers in the cloud environments, has been described. the analysis of quality metrics, used for IT-services estimation, has been carried out taking into account the specificity of the cloud infrastructure that focuses on large-scale scientific problems solving. the technique, used for the visual express quality estimation of IT-services, has been proposed. the method of parallel coordinates has been used for multidimensional data visualization. the proposed technique can be used as an effective instrument for visual analysis of cloud services functioning (the dynamics of their quality indicators is considered).

关键词： Cloud computing Quality of Service Quality Metrics Data Visualization parallel Coordinates Method

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Shuttle: Intrusion Recovery for PaaS 35

Shuttle: Intrusion Recovery for PaaS

引用

2015 IEEE 35th international conference on distributed computing Systems

作者： Nascimento, Dario Correia, Miguel Univ Lisbon Inst Super Tecn INESC ID P-1699 Lisbon Portugal

ISBN: (纸本)9781467372145

the number of applications being deployed using the Platform as a Service (PaaS) cloud computing model is increasing. Despite the security controls implemented by cloud service providers, we expect intrusions to strike such applications. We present Shuttle, a novel intrusion recovery service. Shuttle recovers from intrusions in applications deployed in PaaS platforms. Our approach allows undoing changes to the state of PaaS applications due to intrusions, without loosing the effect of legitimate operations performed after the intrusions take place. We combine a record-and-replay approach with the elasticity provided by cloud offerings to recover applications deployed on various instances and backed by distributed databases. the service loads a database snapshot taken before the intrusion and replays subsequent requests, as much in parallel as possible, while continuing to execute incoming requests. We present an experimental evaluation of Shuttle on Amazon Web Services. We show Shuttle can replay 1 million requests in 10 minutes and that it can duplicate the number of requests replayed per second by increasing the number of application servers from 1 to 3.

关键词： Cloud computing Dependability distributed Database Systems Intrusion Recovery Intrusion Tolerance Platform as a Service

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FastICA on Modern GPU Architectures 15

FastICA on Modern GPU Architectures

引用

15th international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Plauth, Max Feinbube, Frank Troeger, Peter Polze, Andreas Univ Potsdam Hasso Plattner Inst Potsdam Germany

ISBN: (纸本)9781479983346

Blind Signal Separation is an algorithmic problem class that deals with the restoration of original signal data from a signal mixture. Implementations, such as FastICA, are optimized for parallelization on CPU or first-generation GPU hardware. With the advent of modern, compute centered GPU hardware with powerful features such as dynamic parallelism support, these solutions no longer leverage the available hardware performance in the best-possible way. We present an optimized implementation of the FastICA algorithm, which is specifically tailored for next-generation GPU architectures such as Nvidia Kepler. Our proposal achieves a two digit factor of speedup in the prototype implementation, compared to a multithreaded CPU implementation. Our custom matrix multiplication kernels, tailored specifically for the use case, contribute to the speedup by delivering better performance than the state-of-the-art CUBLAS library.

关键词： CUDA GPU compute devices audio signal processing blind signal separation independent component analysis parallel processing Blind source separation Independent component analysis audio signal processing parallel PROCESSING (COMPUTERS) GRAPPER PICK UP Graphics Processing Unit Speeding islet cell antibody central processing units ARCHITECTURE

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distributed Edge Inference: an Experimental Study on Multiview Detection 16

Distributed Edge Inference: an Experimental Study on Multivi...

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16th IEEE/ACM international conference on Utility and Cloud computing (UCC) / 10th IEEE/ACM international conference on Big Data computing, applications and technologies (BDCAT)

作者： Mittone, Gianluca Malenza, Giulio Aldinucci, Marco Birke, Robert Univ Turin Turin Piedmont Italy

ISBN: (纸本)9798400702341

computing is evolving rapidly to cater to the increasing demand for sophisticated services, and Cloud computing lays a solid foundation for flexible on-demand provisioning. However, as the size of applications grows, the centralised client-server approach used by Cloud computing increasingly limits the applications' scalability. To achieve ultra-scalability, cloud/edge/fog computing converges into the compute continuum, completely decentralising the infrastructure to encompass universal, pervasive resources. the compute continuum makes devising applications benefitting from this complex environment a challenging research problem. We put the opportunities the compute continuum offers to the test through a real-world multi-view detection model (MvDet) implemented with the FastFL C/C++ high-performance edge inference framework. Computational performance is discussed considering many experimental scenarios, encompassing different edge computational capabilities and network bandwidths. We obtain up to 1.92x speedup in inference time over a centralised solution using the same devices.

关键词： Edge Inference Edge computing computing Continuum Computational Performance Network Performance

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A droop control method based on adaptive virtual impedance for parallel control of distributed generators 10

A droop control method based on adaptive virtual impedance f...

引用

10th international conference on Power Electronics Systems and applications (PESA)

作者： Mo, Taozi Li, Neng Zhang, Zhang Li, Junhua Zhang, Zhenghong Pan, Jianfei Shenzhen Univ Coll Mechatron & Control Engn Shenzhen Peoples R China

ISBN: (纸本)9798350365818;9798350365801

Traditional droop control method cannot achieve effective reactive power distribution when distributed generators are paralleled. therefore, this paper proposes a droop control scheme based on adaptive virtual impedance to solve the problem of uneven distribution of reactive power. the proposed method calculates the impedance difference between the two distributed power sources based on the feedback of line current and voltage, and introduces the adaptive virtual impedance compensation scheme accordingly. the proposed scheme reduces the amount of data to be transmitted during communication, and the system design is simple. the simulation in this paper demonstrate that, the proposed method reduces the percentage error in reactive power distribution from 10.5% to 0.4% under load variations and from 21% to 0.1%, when there is a sudden change in the impedance of one of the lines.

关键词： droop control adaptive virtual impedance distributed generators inverter parallel connection power distribution

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A Study on the Minimum Dominating Set Problem Approximation in parallel 10

A Study on the Minimum Dominating Set Problem Approximation ...

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10th international conference on Contemporary computing (IC3)

作者： Gambhir, Mahak Kothapalli, Kishore Int Inst Informat Technol Hyderabad 500032 Andhra Pradesh India

ISBN: (纸本)9781538630778

A dominating set of a small size is useful in several settings including wireless networks, document summarization, secure system design, and the like. In this paper, we start by studying three distributed algorithms that produce a small sized dominating sets in a few rounds. We interpret these algorithms in the natural shared memory setting and experiment with these algorithms on a multi-core CPU. Based on the observations from these experimental results, we propose variations to the three algorithms and also show how the proposed variations offer interesting trade-offs with respect to the size of the dominating set produced and the time taken.

关键词： Dominating set parallel algorithms Multicore CPU algorithms

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10th international conference ON SOFTWARE ENGINEERING, PROCEEDINGS.

10TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, PROCE...

引用

10th international conference on Software Engineering, Proceedings.

作者： Anon

ISBN: (纸本)0897912586

the proceedings contains 43 papers. the following topics are dealt with: parallel and distributed applications;management;environments;distributed system design;real time;software quality techniques;process models;environmental components;reuse;specifying concurrent systems;formal methods;user issues;automated tools;and, software derivation.

关键词： COMPUTER SOFTWARE

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A Locality-Aware Dynamic thread Scheduler for GPGPUs 14

A Locality-Aware Dynamic Thread Scheduler for GPGPUs

引用

14th international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Huang, Yu-Hao Tseng, Ying-Yu Kuo, Hsien-Kai Yen, Ta-Kan Lai, Bo-Cheng Charles Natl Chiao Tung Univ Dept Elect Engn Hsinchu 30010 Taiwan

ISBN: (纸本)9781479924189

Modern GPGPUs implement on-chip shared cache to better exploit the data reuse of various general purpose applications. Given the massive amount of concurrent threads in a GPGPU, striking the balance between Data Locality and Load Balance has become a critical design concern. To achieve the best performance, the trade-off between these two factors needs to be performed concurrently. this paper proposes a dynamic thread scheduler which co-optimizes both the data locality and load balance on a GPGPU. the proposed approach is evaluated using three applications with various input datasets. the results show that the proposed approach reduces the overall execution cycles by up to 16% when compared with other approaches concerning only one objective.

关键词： Dynamic scheduling Equations Instruction sets Loading Mathematical model Optimization Runtime Data Locality GPU parallel computing locality data instruction sets dynamic scheduling Runtime parallel PROCESSING (COMPUTERS) Load balancing Mathematical Model loading thREADS scheduler program GRAPPER PICK UP Graphics Processing Unit Program thread

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