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检索条件"任意字段=Proceedings of the 1997 Conference on Advances in Parallel and Distributed Computing"

共 691 条记录，以下是111-120 订阅

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parallel-PROCESSING IN REAL-TIME CONTROL - A STATE-OF-THE-ART REPORT

PARALLEL-PROCESSING IN REAL-TIME CONTROL - A STATE-OF-THE-AR...

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3rd IEEE conference on Control Applications

作者： POPOVIC, D UNIV BREMEN INST AUTOMAT TECHNOLW-2800 BREMEN 33GERMANY

ISBN: (纸本)0780318722

advances in communications technology, particularly in fibre optics, have accelerated the application of parallel programming by enabling the interconnection of a huge number of high-performance processors. Further advances in this field will also enable a low-cost implementation of process and user interface required for plant automation and remote data acquisition. At the same time it will considerably help implementation of highly reliable distributed multicomputer systems. Recently, a number of valuable applications have been reported concerning the parallel real-time computing that helped to control laboratory experiments, moving vehicles, power plants, working robots etc. In the paper, a state-of-the-art survey of the techniques and tools for parallel processing in real-time applications, will be given.

关键词： Control systems

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4th International conference on parallel computing Technologies, PACT 1997

4th International Conference on Parallel Computing Technolog...

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4th International conference on parallel computing Technologies, PaCT 1997

ISBN: (纸本)3540633715

The proceedings contain 53 papers. The special focus in this conference is on parallel computing Technologies. The topics include: parallel computations on finite partially ordered sets;tight lower bounds for computing shortest paths on proper interval and bipartite permutation graphs;using run-time uncertainty to robustly schedule parallel computation;a tuple-based data structure for distributed parallel processing of 3D dynamic meshes;the appplication of parallel computations technique to the solution of certain hydrodynamic stability problems;a formal framework for the analysis of recursive-parallel programs;systematic design of 3-dimensional fixed-size array processors;on proving large distributed systems;influence of self-connection weights on cellular-neural network stability;estimating the parallel start-up overhead for parallelizing compilers;parallel and distributed evolutionary computation with MANIFOLD and parallel computation of fractal sets with the help of neural networks and cellular automata.

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PPS: parallel Pincer Search for Mining Frequent Itemsets Based on Spark 8th

PPS: Parallel Pincer Search for Mining Frequent Itemsets Bas...

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8th International conference on Soft computing and Pattern Recognition (SoCPaR) / 8th International conference on Computational Aspects of Social Networks (CASoN)

作者： Sethi, Krishan Kumar Dharavath, Ramesh Nyakotey, Samuel Indian Inst Technol ISM Dept Comp Sci & Engn Dhanbad 826004 Jharkhand India

ISBN: (纸本)9783319606187;9783319606170

Association rule mining is one of prominent techniques to discover the relation between data items of a transactional data. The process of mining has been simplified by considering only the frequent itemsets. Pincer search is one of the frequent itemset mining method which combines top-down and bottom-up search techniques to get the benefits of both. Top-down approach in Pincer search reduces the number of candidates in pass of iterations and saves a lot of computing resources. In this work, we present a parallel Pincer Search (PPS) which is based on distributed implementation on Spark framework. We have converted the search algorithm according to the Spark framework to make it run in parallel. Spark provides a lot of features for the iterative algorithm such as in-memory execution, efficient data structure, better fault tolerant method, etc. We implemented the PPS on a Spark cluster with multiple datasets and analysed the performance.

关键词： Pincer search Frequent itemset mining Apriori algorithm Maximal itemset Spark

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Complex Network Analysis on distributed Systems - An Empirical Comparison

Complex Network Analysis on Distributed Systems - An Empiric...

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IEEE/ACM International conference on advances in Social Networks Analysis and Mining (ASONAM)

作者： Koch, Jannis Staudt, Christian L. Vogel, Maximilian Meyerhenke, Henning Karlsruhe Inst Technol KIT Fac Informat Fasanengarten 5 D-76131 Karlsruhe Germany

ISBN: (纸本)9781450338547

Complex networks are relational data sets commonly represented as graphs. The analysis of their intricate structure is relevant to many areas of science and commerce, and data sets may reach sizes that require distributed storage and processing. We describe and compare programming models for distributed computing with a focus on graph algorithms for large-scale complex network analysis. Four frameworks - GraphLab, Apache Giraph, Giraph++ and Apache Flink - are used to implement algorithms for the representative problems Connected Components, Community Detection, PageRank and Clustering Coefficients. The implementations are executed on a computer cluster to evaluate the frameworks' suitability in practice and to compare their performance to that of the single-machine, shared-memory parallel network analysis package NetworKit. Out of the distributed frameworks, GraphLab and Apache Giraph generally show the best performance. In our experiments a cluster of eight computers running Apache Giraph enables the analysis of a network with about 2 billion edges, which is too large for a single machine of the same type. However, for networks that fit into memory of one machine, the performance of the shared-memory parallel implementation is far better than the distributed ones. The study provides experimental evidence for selecting the appropriate framework depending on the task and data volume.

关键词： distributed computing graph algorithms complex networks

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A study of parallel image processing in a distributed processing environment 7th

A study of parallel image processing in a distributed proces...

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7th International conference and Exhibition on High-Performance computing and Networking (HPCN EUROPE 99)

作者： Iikura, M Kobayashi, K Yoshioka, T Ihara, S Nippon Inst Technol Miyashiro Saitama 345 Japan

ISBN: (纸本)3540658211

Recent performance enhancements, upgrade applications, and rapid advances in computers and networking technologies have all enabled information processing devices to share computer resources. We are interested in image processing that requires a large amount of calculations. If individual pixels forming an image can be calculated independently, the processing speed can be increased by parallel processing, thus reducing the overall processing time. However, it has been previously confirmed that increasing the number of servers beyond a certain point does not raise the parallel processing efficiency in a parallel distributed processing environment using a client-server model. Therefore, we constructed a new processing environment using an agent model in order to investigate parallel image processing. This paper discusses the results of experiments in this environment in comparison with those of parallel processing in a client-server model.

关键词： Image processing

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parallelization level for stochastic assignment to the transportation network

Parallelization level for stochastic assignment to the trans...

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proceedings of the 1997 5th International conference on the Application of High-Performance Computers in Engineering, HPC

作者： Russo, Francesco Vitetta, Antonino Univ of Reggio Calabria Reggio Calabria Italy

In this paper an analysis of parallel algorithm for transportation assignment model are developed. Algorithm for generating All or Nothing and Stochastic Network Loading are studied in relation to parallel process. A ... 详细信息

关键词： parallel algorithms

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Performance Improvement of Read Operations in distributed File System Through Anticipated parallel Processing 2nd

Performance Improvement of Read Operations in Distributed Fi...

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2nd International conference on Computer and Communication Technologies

作者： Rangaswamy, B. Geethanjali, N. Ragunathan, T. Kumar, B. Sudheer Prosoft Resources Pvt Ltd Hyderabad Andhra Pradesh India Sri Krishnadevaraya Univ Anantapur 515003 Andhra Pradesh India ACE Engn Coll Kancheepuram India

ISBN: (纸本)9788132225171;9788132225164

A distributed system (DS) consists of a set of computers networked together and gives an impression to the users that it is a single system. The main storage component to be used in a DS is distributed file system (DFS). The DFS is used as the main file storage system in the cloud computing systems. Most of the cloud-based applications require a good performance from the DFS as for as read operations are concerned. Many caching and pre-fetching techniques have been proposed in the literature for improving the performance of the DFS. But all of these techniques use synchronous approach which increases read access time. In the literature, a speculation-based technique has been proposed for improving the performance of read access in the DFS which implements asynchronous reading using client-side caching technique. In this paper, we have proposed a new read algorithm for the DFS based on asynchronous reading, client-side caching technique, and anticipated parallel processing. We have carried out performance analysis of the speculation-based algorithm and our proposed algorithm based on anticipated parallel processing. The results of analysis indicate that our proposed algorithm performs better than the earlier speculation-based algorithm.

关键词： File organization

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Building reliable distributed programs with file operations

Building reliable distributed programs with file operations

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4th International conference on High-Performance computing (HiPC 97)

作者： Ouyang, JS Maheshwari, P Univ of Toronto Toronto Canada

ISBN: (纸本)0818680679

This paper describes a new protocol that helps the user in building reliable distributed applications with file operations. Our file checkpointing and recovery protocol is designed to consistently checkpoint and recover user files with respect to the volatile state of the distributed program. Based on the protocol, a file I/O interface has been implemented as part of our Libra library for supporting fault tolerance in distributed applications. File operations are done using this interface whereas the complexity of checkpointing and recovering user files is hidden from the application level - the checkpointing and recovery of user files are done automatically.

关键词： distributed computer systems

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Track Chair's Report of CDCGM2019-Convergence of distributed Clouds, Grids and their Management WETICE-2019 Going Beyond Church-Turing Thesis Boundaries. WETICE2019, Capri, Napoli, Italy, June 12-14, 2019 28

Track Chair's Report of CDCGM2019-Convergence of Distributed...

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28th IEEE International conference on Enabling Technologies - Infrastructure for Collaborative Enterprises (WETICE)

作者： Messina, Fabrizio Mikkilineni, Rao Morana, Giovanni Univ Catania Dipartimento Matemat & Informat Vle Andrea Doria 6 I-95125 Catania Italy Golden Gate Univ Edward S Ageno Sch Business San Francisco CA USA Platina Syst Santa Clara Santa Clara CA USA

ISBN: (纸本)9781728106762

This track has made signicant contribution to advance the current state of the art in enterprise distributed application management across datacenters, and clouds public or private. A new computing model proposing extensions to the current von Neumann implementation of the Turing machine was contributed by the efforts of several participants in this conference since 2009. Keeping with this tradition, this year a new paper demonstrates theory and practice that pushes the Church-Turing thesis boundaries and demonstrates a novel low-latency and high-performance edge computing solution. In addition, there are nine full papers describing advances in current distributed and cloud computing practices dealing with quality of service, business intelligence, cloud security, Internet of Things, cloud performance and economics.

关键词： Cloud computing grid computing distributed Intelligent Managed Element Networks distributed Services Management Services Virtualization parallel computing

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Designing an architecture for distributed shared data on the grid

Designing an architecture for distributed shared data on the...

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8th International conference on Algorithms and Architectures for parallel Processing

作者： Tudor, Dacian Cretu, Vladimir Schreiner, Wolfgang Politehn Univ Timisoara Dept Comp Sci & Engn Vasile Parvan St 2 Timisoara 300223 Romania Johannes Kepler Univ Linz RISC A-4040 Linz Austria

ISBN: (纸本)9783540695004

Despite the continuous advances of the last years in grid computing, the grid computing programming paradigms are dominated by the message passing concept. There is little support for other paradigms such as shared data or associative programming. In this paper we analyze some of the existing solutions for grid shared data programming and highlight some of their drawbacks. We propose a new architecture and its core features as well as new evaluation means of its behavior in various scenarios including the next generation grid systems. In addition to the simplicity of our solution, we believe that it would allow us to easily apply further extensions.

关键词： grid computing distributed shared data programming model

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