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检索条件"任意字段=8th International Conference on Parallel and Distributed Computing, Applications and Technologies"

共 1804 条记录，以下是421-430 订阅

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TMbarrier: Speculative Barriers Using Hardware Transactional Memory 26

TMbarrier: Speculative Barriers Using Hardware Transactional...

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26th Euromicro international conference on parallel, distributed, and Network-Based Processing (PDP)

作者： Pedrero, Manuel Gutierrez, Eladio Plata, Oscar Univ Malaga Dept Comp Architecture Malaga Spain

ISBN: (纸本)9781538649756

Barrier is a very common synchronization method used in parallel programming. Barriers are used typically to enforce a partial thread execution order, since there may be dependences between code sections before and after the barrier. this work proposes TMbarrier, a new design of a barrier intended to be used in transactional applications. TMbarrier allows threads to continue executing speculatively after the barrier assuming that there are not dependences with safe threads that have not yet reached the barrier. Our design leverages transactional memory (TM) (specifically, the implementation offered by the IBM POWER8 processor) to hold the speculative updates and to detect possible conflicts between speculative and safe threads. Despite the limitations of the best-effort hardware TM implementation present in current processors, experiments show a reduction in wasted time due to synchronization compared to standard barriers.

关键词： Hardware Transactional Memory Speculation IBM POWER8 parallel computing

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Using extended reality technologies in distributed computer systems 8

Using extended reality technologies in distributed computer ...

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Selected Papers of the 8th international conference "distributed computing and Grid-technologies in Science and Education", GRID 2018

作者： Vozdvizhenskaya, N.O. Dubna State University 19 Universitetskaya St. Dubna141982 Russia

Over the past few decades, web technologies have proven to be a fast, convenient and easy-to-access tool for retrieving information and sharing a large amount of heterogeneous data. the technologies used there, and in particular the HTML technology, have played a major role in the development of the Internet as it is. this is all due to the standardization and creation of a single tool to create network content. the goal of this work is to create a standard and a language for developing extended reality applications and interfaces built into existing applications. With this language, developers who are familiar with web technologies can quickly and with minimal effort move on to a new technology and fill it with content, the lack of which is now the main problem of all extended reality technologies. With usage of the developed system it will be possible to combine the formed community of web developers and perspective technology on the basis of a standardized set of tools that will positively affect both developers and the pace of technology development. In the future that technology can be used in different spheres, like education, business, advertisement, etc. Also it can be used in the global distributed computer systems, that will give an ability to make a global network of virtual objects referred to a real-life points. © 2018 Nadezhda O. Vozdvizhenskaya.

关键词： SGML

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distributed virtual cluster management system 8

Distributed virtual cluster management system

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Selected Papers of the 8th international conference "distributed computing and Grid-technologies in Science and Education", GRID 2018

作者： Korkhov, V.V. Kobyshev, S.S. Degtyarev, A.B. Cubahiro, A. Gaspary, L. Wang, X. Wu, Z. Saint Petersburg State University 7/9 Universitetskaya Nab. St. Petersburg199034 Russia Saint-Petersburg Electrotechnical University LETI 5 Prof. Popova St. Petersburg197376 Russia Universidade Federaldo Rio Grande do Sul Campus do Vale-Bloco IV Av. Bento Goncoives 9500 Caixa Postal 15064 Porto Alegre91501-970 Brazil Beijing Normal University 19 Xinjiekouwai St. BeiTaiPingZhuang Haidian Qu Beijing Shi100875 China

An effective cluster management system is the key to solving many problems that arise in the field of distributed computing. One of the major problems is to map applications and available computing resources in such a way that optimal application performance is achieved and resources are used efficiently. the traditional way is to tune applications to the resources which is not always easy or effective. We consider the opposite way that implies configuring resources to the application needs. this leads to the necessity of abstracting resources which can be done with virtualization technologies. In this paper we consider the execution of distributed applications in virtual clusters that are configured specifically to match application requirements to resources. In particular, we investigate performance of NAS parallel Benchmarks and Hadoop benchmarking suites in different resource sharing scenarios. © 2018 Vladimir V. Korkhov, Sergey S. Kobyshev, Alexander B. Degtyarev, Amissi Cubahiro, Luciano Gaspary, Xingce Wang, Zhongke Wu.

关键词： Virtualization

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Study of the interaction of the volunteer community in distributed computing projects 8

Study of the interaction of the volunteer community in distr...

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Selected Papers of the 8th international conference "distributed computing and Grid-technologies in Science and Education", GRID 2018

作者： Kurochkin, I.I. Institute for Information Transmission Problems of Russian Academy of Sciences Bolshoy Karetny Per. 19 Build. 1 Moscow127051 Russia

In this paper discusses methods for improving the computing power of distributed computing project using the computing power of volunteers. the methods involve attracting more volunteers and retaining their interest for a long time. the results of the study on the preferences of volunteers to highlight the most significant factors affecting the interest of volunteers are discussed. the approach of index and multiparameter estimation of volunteer distributed computing projects is discussed. A modified scoring system for performing calculations in the volunteer distributed computing project is proposed. © 2018 Ilya I. Kurochkin.

关键词： computing power

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SPARK Processing of computing-Intensive Classification of Remote Sensing Images: the Case on K-Means Clustering Algorithm 26

SPARK Processing of Computing-Intensive Classification of Re...

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26th international conference on Geoinformatics (Geoinformatics)

作者： Shangguan, Boyi Yue, Peng Wuhan Univ Sch Remote Sensing & Informat Engn 129 Luoyu Rd Wuhan 430079 Hubei Peoples R China Wuhan Univ Hubei Prov Engn Ctr Intelligent Geoproc 129 Luoyu Rd Wuhan 430079 Hubei Peoples R China

ISBN: (纸本)9781538676196

High performance processing of remote sensing images is an important topic in remote sensing applications. One typical type of remote sensing processing is the iterative computing algorithms such as image classification algorithms, which are often computing-intensive and time-consuming. Recent advancement of cloud computing technologies such as APACHE SPARK has shown great promise for improving the computing performance. this paper presents a MapReduce based approach for parallelizing classification algorithms of remote sensing images on the cloud computing platform. the iterative processing is transformed into iterative Map and Reduce tasks that can be executed in parallel. the K-Means clustering algorithm is experimented with the SPARK cluster deployed on the OpenStack cloud computing platform to illustrate the applicability and effectiveness of the approach.

关键词： distributed computing remote sensing images classification cloud computing

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Impact of Corpora Quality on Neural Machine Translation 8

Impact of Corpora Quality on Neural Machine Translation

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8th international Baltic Human Language technologies conference (Baltic HLT)

作者： Rikters, Matiss Tilde Vienibas Gatve 75A Riga Latvia

ISBN: (纸本)9781614999126;9781614999119

Large parallel corpora that are automatically obtained from the web, documents or elsewhere often exhibit many corrupted parts that are bound to negatively affect the quality of the systems and models that learn from these corpora. this paper describes frequent problems found in data and such data affects neural machine translation systems, as well as how to identify and deal with them. the solutions are summarised in a set of scripts that remove problematic sentences from input corpora.

关键词： machine translation parallel corpora corpora filtering

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An Augmented Reality Application to Enhance the Children's Engagement in an Early Development Method for Mathematics Literacy

An Augmented Reality Application to Enhance the Children's E...

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international conference on Usability and User Experience/8th international conference on Applied Human Factors and Ergonomics (AHFE)

作者： Solano, Andres Ugalde, Fabian Gomez, Juan Sanchez, Luis Univ Costa Rica San Jose Costa Rica

ISBN: (纸本)9783319604923;9783319604916

With the increase on the use of mobile devices in children below the ages of seven and the expansion of app stores, efforts to produce different mathematic learning mobile applications have been made. Children that age, however, are not always able to effectively use and commit with such application due to interaction barriers with them. In this paper, we present the design process and description of a mathematics learning application meant to overcome these barriers. Applying HCI techniques, a mobile application that implements the Doman Method for early development was designed. Using non-traditional interactions and augmented reality technologies, the system presents an intuitive interface that helps breaking the understanding barrier with children. Finally, we discuss an evaluation carried out by several experts to assess the achievement of a friendly-user and intuitive application design to enhance the engagement of children to the application and as such to the Doman Method.

关键词： Human-Computer interactions parallel design Cognitive walkthrough Augmented reality Early development Doman method Mathematic learning Mobile children applications

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New approach for mobility management in openflow/software-defined networks 8

New approach for mobility management in openflow/software-de...

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8th international conference on Simulation and Modeling Methodologies, technologies and applications, SIMULTECH 2018

作者： Omheni, N. Zarai, F. Sadoun, B. Obaidat, M.S. New Technologies and Telecommunications Systems Research Unit ENET'COM Tunisia ECE Department College of Engineering Al-Balqa Applied University Astana Jordan Kazakhstan and King Abdullah II School of Information Technology University of Jordan Jordan

ISBN: (纸本)9789897583230

the Software-Defined Networking (SDN) paradigm predicts that the evolution of cellular and wireless networks will bring a considerable increase of two factors, the densification of the Radio Access Network (RAN) part and the progressive demand for traffic. this rapid evolution has led to the emergence of extremely complicated systems, where a large number of logic modules must interact to lead to the desired behavior and the desired quality of service. the key advantage of SDNs is the simplicity of networking and the deployment of new mechanisms and applications. Furthermore, the programmable aspect on the traffic and devices in SDNs makes them more efficient and flexible than traditional networks. In this context, distributed Mobility Management (DMM) has been recently presented as a new trend to solve the issues of the today's mobility management protocols. In this paper, we propose a partially distributed Mobility Management for OpenFlow/SDN networks. According to simulation results, our approach guarantees a significant reduction of the number of handover and the signaling cost. Copyright © 2018 by SCITEPRESS-Science and Technology Publications, Lda. All rights reserved.

关键词： Quality of service

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Large scale simulations with parallel annealing algorithm 8

Large scale simulations with parallel annealing algorithm

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Selected Papers of the 8th international conference "distributed computing and Grid-technologies in Science and Education", GRID 2018

作者： Shchur, L.N. Shchur, L.V. Science Center in Chernogolovka Chernogolovka142432 Russia

the effective application of supercomputers does depend on the scalable algorithms which can be used on the millions of cores. In the review, we discuss the possibility of using population annealing algorithm designed for the simulations of the statistical mechanic's systems with rugged free energy landscape. We present a short review report on the present realization of the algorithm on the hybrid computing architecture combining CPU and GPGPU. the algorithm is fully scalable. We review the application of the developed realizations to several interesting problems. the algorithm can be applied to any system of statistical mechanics, described by partition function. © 2018 Lev N. Shchur, Liudmila V. Shchur.

关键词： Annealing

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Exploring Scalable computing Architectures for Interactions Analysis 27

Exploring Scalable Computing Architectures for Interactions ...

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27th international conference on Computer Communications and Networks (ICCCN)

作者： Seth, Taruna Feng, Chao Ramanathan, Murali Chaudhary, Vipin Dept Comp Sci & Engn Buffalo NY USA Dept Pharmaceut Sci Buffalo NY USA

ISBN: (纸本)9781538651568

Characterization of pharmacological signal transductions leading to drug-induced expressions of genes and proteins requires the capability to identify interactions among different potential predictor components, e.g. genomic data, clinical data, and environmental data. the detection of these gene-gene and gene-environment interactions remains challenging due to the exponential computational complexity and high dimensionality of the interaction problem. the problem is further exacerbated due to the involvement of very large-scale epidemiological datasets. Efficient high-order interaction analysis of such large-scale data is not feasible with the traditional frameworks. parallel implementations of such applications in traditional cluster environments are often inefficient due to the storage bandwidth and network I/O limitations. Scalable distributed platforms can offer better scalability to such problems compared to the cluster architectures. Moreover, such data- and compute-intensive problems can benefit even further from data-intensive supercomputing (DISC) architectures that have been shown to yield superior performance compared to the regularly used cluster platforms. In this paper, we evaluate the applicability of different architectures such as traditional server based distributed architectures supported on commodity hardware and shared nothing architectures with massively parallel processing capabilities, towards the Interaction Analysis problem. Our experiments show that the massively parallel processing, shared-nothing architecture outweigh the benefits often realized through traditional server based and even distributed computing architectures. We conclude that the rapidly growing class of shared nothing architectures offers a potentially efficient and viable alternative to facilitate high-order interaction analysis involving extremely large scale biological datasets and is well suited to this category of data- and compute-intensive problems that cannot be a

关键词： distributed shared nothing architectures information theory scalable architectures

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