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

共 1767 条记录，以下是741-750 订阅

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distributed Program Execution Control Based on Application Global States Monitoring in PEGASUS DA Framework

Distributed Program Execution Control Based on Application G...

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10th international conference on parallel Processing and Applied Mathematics (PPAM)

作者： Kopanski, Damian Masko, Lukasz Laskowski, Eryk Smyk, Adam Borkowski, Janusz Tudruj, Marek Polish Japanese Inst Informat Technol Ul Koszykowa 86 PL-02008 Warsaw Poland Polish Acad Sci Inst Comp Sci PL-01248 Warsaw Poland

ISBN: (纸本)9783642552243

this paper presents control implementation methods for an original distributed program design framework PEGASUS DA (Program Execution Governed by Asynchronous SUpervision of States in distributed applications) which provides automated design of distributed program execution control based on program global states monitoring. the framework includes a built in support for handling local and global application states as well as automatic construction and use of strongly consistent application global states for program execution control. In particular, the paper presents methods used to implement distributed program control inside the PEGASUS DA framework run on clusters of contemporary multicore processors based on multithreading. the program design method is illustrated on a distributed multithreaded application executed with load balancing in a multicore system.

关键词： distributed program execution control distributed program design Global application states Strongly consistent global states Program design tools

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Intelligent Echocardiographic Video Analyzer Using parallel Algorithms

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10th international conference on computing and Information Technology, IC2IT 2014

作者： Nandagopalan, S. Sudarshan, T.S.B. Deepak, N. Pradeep, N. Department of Computer Science and Engineering Amrita Vishwa Vidyapeetham Amrita School of Engineering Bangalore India Network Division Eshamount Technologies Bangalore India

ISBN: (纸本)9783319065373

this paper proposes an intelligent framework to accurately analyze these echo images in order to discover disease category and assess the severity automatically. Typically, each video consists of 90-100 frames of 2D echo, color Doppler image video, and several .jpg images. Our framework consists of parallel algorithms developed under OpenMP environment. the major tasks are cardiac boundary tracing, quantifying the heart chambers and extracting 2D features, and other features required for computing statistical features and build a classifier model for categorization. Segmentation of an echo image is done using parallel implementation of K-Means algorithm and they are boundary extracted using active contour method. Bayesian model is used to classify a given patient into normal or abnormal. the experiment involves videos taken from 60 normal and abnormal patients from a local cardiology Hospital. the results obtained with our algorithms outperformed with respect to the results that have already been reported. © Springer international Publishing Switzerland 2014.

关键词： Echocardiography

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Virtual Wireless User: A Practical Design for parallel MultiConnect Using WiFi Direct in Group Communication 10

Virtual Wireless User: A Practical Design for Parallel Multi...

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10th international conference on Mobile and Ubiquitous Systems - computing, Networking, and Services (MOBIQUITOUS)

作者： Zhanikeev, Marat Kyushu Inst Technol Comp Sci & Syst Engn Iizuka Fukuoka 8208502 Japan

ISBN: (纸本)9783319115689

Several MultiConnect technologies are actively discussed in research today. MultiPath TCP (MPTCP) is capable of splitting one flow into subflows and balance the load across multiple access technologies. Multihoming is an older technology that makes it possible for network providers to balance load across multiple up- and down-links dynamically. Finally, Software Defined Networking (SDN) achieves the ultimate flexibility of connection and routing decisions. However, none of these technologies enable true (network or otherwise) resource-pooling in communications within arbitrary size user groups such as occur in meetings, class discussions, and ad-hoc communities in the wild. this paper proposes the concept of a Virtual Wireless User (VWU) which represents the entire group and appears as single user to an over-the-network service. Each group member is capable of MultiConnect using Wi-Fi Direct in parallel with any other connection method. Modeling based on real measurements shows that VWUs can achieve throughput in the order of tens of Mbps even if throughput of individual users is very low. the paper also formulates a formal optimization problem in relation to VWU.

关键词： Virtual wireless user Connectivity virtualization Network access virtualization MultiConnect MultiPath MultiHoming Wi-Fi Direct P2P Wi-Fi Resource pooling Group communication

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UPC++ for bioinformatics: A case study using genome-wide association studies 16

UPC++ for bioinformatics: A case study using genome-wide ass...

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16th IEEE international conference on Cluster computing, CLUSTER 2014

作者： Kassens, Jan C. Gonzalez-Dominguez, Jorge Wienbrandt, Lars Schmidt, Bertil Department of Computer Science Christian-Albrechts-University of Kiel Germany Parallel and Distributed Architectures Group Johannes Gutenberg University-Mainz Germany

ISBN: (纸本)9781479955480

Modern genotyping technologies are able to obtain up to a few million genetic markers (such as SNPs) of an individual within a few minutes of time. Detecting epistasis, such as SNP-SNP interactions, in Genome-Wide Association Studies is an important but time-consuming operation since statistical computations have to be performed for each pair of measured markers. therefore, a variety of HPC architectures have been used to accelerate these studies. In this work we present a parallel approach for multi-core clusters, which is implemented with UPC++ and takes advantage of the features available in the Partitioned Global Address Space and Object Oriented Programming models. Our solution is based on a well-known regression model (used by the popular BOOST tool) to test SNP-pairs interactions. Experimental results show that UPC++ is suitable for parallelizing data-intensive bioinformatics applications on clusters. For instance, it reduces the time to analyze a real-world dataset with more than 500,000 SNPs and 5,000 individuals from several days when using a single core to less than one minute using 512 nodes (12,288 cores) of a Cray XC30 supercomputer. © 2014 IEEE.

关键词： Bioinformatics

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parallel Geometric Multigrid Preconditioner for 3D FEM in NuscaS Software Package

Parallel Geometric Multigrid Preconditioner for 3D FEM in Nu...

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10th international conference on parallel Processing and Applied Mathematics (PPAM)

作者： Olas, Tomasz Czestochowa Tech Univ PL-42201 Czestochowa Poland

ISBN: (纸本)9783642552243

Multigrid methods are among the fastest numerical algorithms for solving large sparse linear systems. the Conjugate Gradient method with Multigrid as a preconditioner (MGCG) features a good convergence even when the Multigrid solver itself is not efficient. the parallel FEM package NuscaS allows us to solve adaptive FEM problems with 3D unstructured meshes on parallel computers such as PC-clusters. the parallel version of the library is based on the geometric decomposition applied for computing nodes of a parallel system;the distributed-memory architecture and message-passing model of parallel programming are assumed. In our previous works, we extend the NuscaS functionality by introducing parallel adaptation of tetrahedral FEM meshes and dynamic load balancing capabilities. In this work we focus on efficient implementation of Geometric Multigrid as a parallel preconditioner for the Conjugate Gradient iterative solver used in the NuscaS package. Based on the geometric decomposition, for each level of Multigrid, meshes are partitioned and assigned to processors of a parallel architecture. Fine-grid levels are constructed by subdivision of mesh elements using the parallel 8-tetrahedra longestedge refinement mesh algorithm, where every process keeps the assigned part of mesh on each level of Multigrid. the efficiency of the proposed implementation is investigated experimentally.

关键词： Geometric Multigrid Conjugate Gradient method Preconditioner FEM parallel adaptation parallel software package MPI

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Model-Driven Public Sensing in Sparse Networks 10

Model-Driven Public Sensing in Sparse Networks

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10th international conference on Mobile and Ubiquitous Systems - computing, Networking, and Services (MOBIQUITOUS)

作者： Philipp, Damian Stachowiak, Jaroslaw Duerr, Frank Rothermel, Kurt Univ Stuttgart Inst Parallel & Distributed Syst D-70174 Stuttgart Germany

ISBN: (纸本)9783319115689

Public Sensing (PS) is a recent trend for building large-scale sensor data acquisition systems using commodity smartphones. Limiting the energy drain on participating devices is a major challenge for PS, as otherwise people will stop sharing their resources with the PS system. Existing solutions for limiting the energy drain through model-driven optimizations are limited to dense networks where there is a high probability for every point of interest to be covered by a smartphone. In this work, we present an adaptive model-driven PS system that deals with both dense and sparse networks. Our evaluations show that this approach improves data quality by up to 41 percentage points while enabling the system to run with a greatly reduced number of participating smartphones. Furthermore, we can save up to 81% of energy for communication and sensing while providing data matching an error bound of 1 degrees C up to 96% of the time.

关键词： Data acquisition

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A distributed polygon retrieval algorithm using MapReduce

A distributed polygon retrieval algorithm using MapReduce

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international conference on Collaborative computing: Networking, applications and Worksharing (CollaborateCom)

作者： Qiulei Guo Balaji Palanisamy Hassan A. Karimi Geoinformatics Laboratory University of Pittsburgh

the proliferation of data acquisition devices like 3D laser scanners had led to the burst of large-scale spatial terrain data which imposes many challenges to spatial data analysis and computation. With the advent of several emerging collaborative cloud technologies, a natural and cost-effective approach to managing such large-scale data is to store and share such datasets in a publicly hosted cloud service and process the data within the cloud itself using modern distributed computing paradigms such as MapReduce. For several key spatial data analysis and computation problems, polygon retrieval is a fundamental operation which is often computed under real-time constraints. However, existing sequential algorithms fail to meet this demand effectively given that terrain data in recent years have witnessed an unprecedented growth in both volume and rate. In this work, we develop a MapReduce-based parallel polygon retrieval algorithm which aims at minimizing the IO and CPU loads of the map and reduce tasks during spatial data processing. the results of the preliminary experiments on a Hadoop cluster demonstrate that the proposed techniques are scalable and lead to more than 35% reduction in execution time of the polygon retrieval operation over existing distributed algorithms.

关键词： Random access memory three-dimensional displays Arrays Tin Elevators Earth

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Invited Talk: Future distributed applications Based on Mobile Cloud computing and Software-Defined Networks by Sergei Gorlatch

Invited Talk: Future Distributed Applications Based on Mobil...

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

作者： Sergei Gorlatch Univ. of Muenster Germany

We consider an emerging class of challenging networked applications called Real-Time Online Interactive applications (ROIA). ROIA are networked applications connecting a potentially very high number of users who interact with the application and with each other in real time, i.e., a response to a user's action happens virtually immediately. Typical representatives of ROIA are multiplayer online computer games, advanced simulation-based e-learning and serious gaming. All these applications are characterized by high performance and QoS requirements, such as: short response times to user inputs (about 0.1-1.5 s); frequent state updates (up to 100 Hz); large and frequently changing numbers of users in a single application instance (up to tens of thousands simultaneous users).

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Towards High-Level parallel Patterns in OpenCL

Towards High-Level Parallel Patterns in OpenCL

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

作者： Jiri Dokulil Siegfried Benkner Research Group Scientific Computing University of Vienna Austria

parallel pattern libraries (e.g., Intel TBB) are popular and useful tools for developing applications in SMP environments at a higher level of abstraction. Such libraries execute user-provided code efficiently on shared memory parallel architectures in accordance with well-defined execution patterns like parallel for-loops or pipelines. For heterogeneous architectures comprised of CPUs and accelerators, OpenCL has gained a lot of momentum. Since accelerated architectures do not provide a shared memory, it is not possible to directly use the approach taken in pattern libraries for SMP systems for OpenCL as well. In this paper, we are exploring issues and opportunities encountered by attempts to provide such patterns in the context of OpenCL. Based on a set of experiments with a scientific application on diverse OpenCL devices, we point out major pitfalls and insights, and outline directions for further efforts in developing pattern libraries for OpenCL.

关键词： Kernel Memory management Libraries Hardware Performance evaluation three-dimensional displays Runtime

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parallel Image Texture Feature Extraction under Hadoop Cloud Platform

Parallel Image Texture Feature Extraction under Hadoop Cloud...

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10th international conference on Intelligent computing (ICIC)

作者： Zhu, Hao-Dong Shen, Zhen Shang, Li Zhang, Xiao-Ping ZhengZhou Univ Light Ind Sch Comp & Commun Engn Zhengzhou 450002 Henan Peoples R China Suzhou Vocat Univ Dept Commun Technol Coll Elect Informat Engn Suzhou Peoples R China Tongji Univ Shanghai Coll Elect & Informat Engn Shanghai Peoples R China

ISBN: (纸本)9783319093338;9783319093321

With the increasing amount of digital image data, massive image process and feature extraction process have become a time-consuming process. As an excellent mass data processing and storage capacity of the open source cloud platform, Hadoop provides a parallel computing model MapReduce, HDFS distributed file system module. Firstly, we introduced Hadoop platform programming framework and Tamura texture features. And then, the image processing and feature texture feature extraction calculations involved in the process to achieve Hadoop platform. the results which comparison with Matlab platform shows it is less obvious advantage of Hadoop platform in image processing and feature extraction of lower-resolution images, but for image processing and feature extraction of high-resolution images, the time spent in Hadoop platform is greatly reducing, data processing capability the advantages is obvious.

关键词： Hadoop Tamura Texture Feature Image Processing Feature Extraction

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