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检索条件"任意字段=Proceedings International Symposium on Databases in Parallel and Distributed Systems"

共 4887 条记录，以下是151-160 订阅

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Scaling Irregular Applications through Data Aggregation and Software Multithreading

Scaling Irregular Applications through Data Aggregation and ...

引用

IEEE 28th international parallel & distributed Processing symposium (IPDPS)

作者： Morani, Alessandro Tumeo, Antonino Chavarria-Miranda, Daniel Villa, Oreste Valero, Mateo Pacific NW Natl Lab Richland WA 99352 USA NVIDA Santa Clara CA USA Univ Politecn Catalanya Barcelona Supercomputing Ctr Barcelona Spain

ISBN: (纸本)9780769552071

Emerging applications in areas such as bioinformatics, data analytics, semantic databases and knowledge discovery employ datasets from tens to hundreds of terabytes. Currently, only distributed memory clusters have enough aggregate space to enable in-memory processing of datasets of this size. However, in addition to large sizes, the data structures used by these new application classes are usually characterized by unpredictable and fine-grained accesses: i.e., they present an irregular behavior. Traditional commodity clusters, instead, exploit cache-based processor and high-bandwidth networks optimized for locality, regular computation and bulk communication. For these reasons, irregular applications are inefficient on these systems, and require custom, hand-coded optimizations to provide scaling in both performance and size. Lightweight software multithreading, which enables tolerating data access latencies by overlapping network communication with computation, and aggregation, which allows reducing overheads and increasing bandwidth utilization by coalescing fine-grained network messages, are key techniques that can speed up the performance of large scale irregular applications on commodity clusters. In this paper we describe GMT (Global Memory and Threading), a runtime system library that couples software multithreading and message aggregation together with a Partitioned Global Address Space (PGAS) data model to enable higher performance and scaling of irregular applications on multi-node systems. We present the architecture of the runtime, explaining how it is designed around these two critical techniques. We show that irregular applications written using our runtime can outperform, even by orders of magnitude, the corresponding applications written using other programming models that do not exploit these techniques.

关键词： Multithreading PGAS aggregation semantic graph databases Multithreading unified retrieval models Runtime Scale formation agglomeration Dataset Data structures Scaling Irregular

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Symmetry in distributed Storage systems

Symmetry in Distributed Storage Systems

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IEEE international symposium on Information Theory (ISIT)

作者： Thakor, Satyajit Chan, Terence Shum, Kenneth W. Chinese Univ Hong Kong Inst Network Coding Hong Kong Hong Kong Peoples R China Univ S Australia Inst Telecommun Res Adelaide SA Australia

ISBN: (纸本)9781479904464

The max-flow outer bound is achievable by regenerating codes for functional repair distributed storage system. However, the capacity of exact repair distributed storage system is an open problem. In this paper, the linear programming bound for exact repair distributed storage systems is formulated. A notion of symmetrical sets for a set of random variables is given and equalities of joint entropies for certain subsets of random variables in a symmetrical set is established. Concatenation coding scheme for exact repair distributed storage systems is proposed and it is shown that concatenation coding scheme is sufficient to achieve any admissible rate for any exact repair distributed storage system. Equalities of certain joint entropies of random variables induced by concatenation scheme is shown. These equalities of joint entropies are new tools to simplify the linear programming bound and to obtain stronger converse results for exact repair distributed storage systems.

关键词： concatenated codes distributed databases entropy codes linear programming set theory

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Component location and the role of trading in large scale distributed systems

Component location and the role of trading in large scale di...

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5th international symposium on Software Engineering for parallel and distributed systems (PDSE 2000)

作者： Terzis, S Nixon, P Univ Dublin Trinity Coll Dept Comp Sci Dublin 2 Ireland

ISBN: (纸本)0769506348

Component software is a promising approach for dealing with the problem of large scale distributed system development, because it decreases development costs and increases software quality. One of the central issues for component software in distributed systems is the location of components. In large scale distributed systems trading is already used as a service location mechanism. This is considered the only way to manage services in large scab distributed systems where complete knowledge of the system is both unreasonable and unrealistic. Providing trading mechanisms appropriate for component development requires a move from appearance based (interface) to behaviour based (semantic) trading. We present a semantically enhanced component trading architecture that enables this move.

关键词： Computer software

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Austrian Grid: Overview on the project with focus on parallel applications

Austrian Grid: Overview on the project with focus on paralle...

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5th international symposium on parallel and distributed Computing

作者： Volkert, Jens Johannes Kepler Univ Inst Graph & Parallel Proc A-4040 Linz Austria

ISBN: (纸本)0769526381

GRIDs are large-scale distributed computing infrastructures that enable the integrated and collaborative use of high-end computers, networks, databases, and scientific instruments owned and managed by multiple organizations. Currently, a lot of national and international grid projects aim in building and using grids. One of them is the Austrian Grid. This project targets different areas of applications, including medical sciences, high-energy physics, applied numerical simulations, astrophysical simulations and solar observations, as well as meteorology and geophysics. Corresponding to the previous experience of the initiators of the project a lot of the applications are parallele ones. In the first part of the talk an overview on Austrian Grid will be presented. We will speak about the goals and the results in general. In the second part of the lecture the focus will be on parallel applications. We will discuss some answers given by the research of Austrian Grid to questions like: how to map parallel applications onto a grid, which kind of tools are necessary, which extensions of standard middleware are desirable. © 2006 IEEE.

关键词： Grid computing

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Panel 2. Industrial panel on parallel and distributed databases

Panel 2. Industrial panel on parallel and distributed databa...

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proceedings of the First international Conference on parallel and distributed Information systems

作者： Solworth, Jon

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The Importance and Characteristics of Communication in High Performance Data Analytics

The Importance and Characteristics of Communication in High ...

引用

IEEE international symposium on Workload Characterization (IISWC)

作者： Anghel, Andreea Rodriguez, German Prisacari, Bogdan IBM Res Zurich Zurich Switzerland

ISBN: (纸本)9781479964536

Social networks and business analytics typically need to process vast amounts of data that are often modeled as graphs. The scale of the data that such applications have to handle requires large-scale distributed computing systems, together with scalable parallel algorithms, to efficiently process the graphs. Representative of the graph-based analytics class of applications is the Graph 500 benchmark (Murphy, ***., 2010), which is designed to assess the performance of supercomputing systems by solving the Breadth-First Search (BFS) graph traversal problem. In this work, we analyze the network data motion of a Graph 500 MPI version of the graph traversal problem, using a large-scale high-performance computing system, i.e., the MareNostrum III supercomputer (http://***/marenostrum-support-services/mn3). We focus our analysis on the node-to-node communication and show that the application runtime is communication-bound, the communication making up as much as 80 % of the execution time of each BFS iteration. We also show that the dominating communication pattern is an overall all-to-all exchange (every process communicates to every other process and roughly the same amount of data is exchanged between any two processes), thus providing preliminary guidance for future application or network design optimization efforts.

关键词： Benchmark testing Computational modeling Data analysis distributed databases Electric breakdown Instruments Runtime Benchmark testing distributed databases Runtime Electric breakdown Computational modeling Communication Research Data analysis execution time Line graph

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A flexible resampling mechanism for parallel particle filters 20

A flexible resampling mechanism for parallel particle filter...

引用

international symposium on VLSI Technology, systems and Applications

作者： Hong, SJ Chin, SS Magesh, S SUNY Stony Brook Dept Elect Comp Engn Stony Brook NY 11794 USA

ISBN: (纸本)0780377656

This paper presents an efficient flexible resampling architecture for parallel particle filtering. The architecture incorporates distributed, delayed resampling mechanisms for fast resampling processing. The architecture consists up to four resampling units and 16 processing elements. Their interconnection can be dynamically reconfigured. The architecture is designed and evaluated for bearing tracking example. The architecture is designed for 0.25 mum CMOS technology.

关键词： Bandpass filters

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parallel mining of association rules from text databases on a cluster of workstations

Parallel mining of association rules from text databases on ...

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proceedings - 18th international parallel and distributed Processing symposium, IPDPS 2004 (Abstracts and CD-ROM)

作者： Holt, John D. Chung, Soon M. Dept. of Comp. Sci. and Engineering Wright State University Dayton OH 45435 United States

ISBN: (纸本)0769521320

In this paper, we propose a new algorithm named parallel Multipass with Inverted Hashing and Pruning (PMIHP) for mining association rules between words in text databases. The characteristics of text databases are quite different from those of retail transaction databases, and existing mining algorithms cannot handle text databases efficiently because of the large number of itemsets (i.e., sets of words) that need to be counted. The new PMIHP algorithm is a parallel version of our Multipass with Inverted Hashing and Pruning (MIHP) algorithm [13], which was shown to be quite efficient than other existing algorithms in the context of mining text databases. The PMIHP algorithm reduces the overhead of communication between miners running on different processors because they are mining local databases asynchronously and prune the global candidates by using the Inverted Hashing and Pruning technique. Compared with the well-known Count Distribution algorithm [2], PMIHP demonstrates superior performance characteristics for mining association rules in large text databases, and when the minimum support level is low, its speedup is superlinear as the number of processors increases. These experiments were performed on a cluster of Linux workstations using a collection of Wall Street Journal articles.

关键词： Text processing

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A pure lazy technique for scalable transaction processing in replicated databases

A pure lazy technique for scalable transaction processing in...

引用

11th international Conference on parallel and distributed systems

作者： Daudjee, K Salem, K Univ Waterloo Sch Comp Sci Waterloo ON N2L 3G1 Canada

ISBN: (纸本)0769522815

Recently, there have been proposals for scaling-up a database system using lazy replication. In these proposals, system scale-up is achieved through the addition of secondary sites which hold replicas of the database at a primary site. The addition of more secondary sites improves system performance by allowing read-only transactions to be serviced at the secondary sites. However, the scalability of the distributed system is limited by the single primary site which services the update workload. As the workload scales-up, an increasing update load is placed on the primary site, which suffers from performance degradation. We address this problem by proposing a pure lazy solution for scaling-up the database system. Our techniques provide scalability and avoid transaction inversions, which can occur when transactions access stale replicas.

关键词： Database systems

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parallel Secondo: Boosting Database Engines with Hadoop

Parallel Secondo: Boosting Database Engines with Hadoop

引用

IEEE 18th international Conference on parallel and distributed systems (ICPADS)

作者： Lu, Jiamin Gueting, Ralf Hartmut Fernuniv Fac Math & Comp Sci D-58084 Hagen Germany

ISBN: (纸本)9781467345651;9780769549033

Hadoop is an efficient and simple parallel framework following the MapReduce paradigm, and making the parallel processing recently become a hot issue in data-intensive applications. Since Hadoop can be easily deployed on large-scale clusters including up to thousands of computers, various studies intend to process common relational database operations also on this new platform and expect to achieve a remarkable performance. However, these works have to prepare customized programs according to different input format, making the communication between co-workers difficult. Additionally, all intermediate data have to be transformed to key-value pairs and then transferred through the underlying HDFS, making the data processable by Map and Reduce tasks and keeping a balanced workload on the cluster. During this period, unnecessary overhead decreases both the speed-up and scale-up of these systems. Therefore, this paper attempts to propose a light and efficient coupling structure thus to combine Hadoop with single-computer databases on the engine level. On one hand, it uses a well-designed parallel data model to make end-users represent parallel queries like common queries. All current and future data types and algorithms can be used directly, having no need to be specifically changed for the parallel platform. On the other hand, it provides a simple and independent distributed file system to transfer data among database engines directly, without passing through HDFS, hence to remove as much as possible unnecessary transform and transfer overhead. For purpose of demonstration, a prototype parallel SECONDO is introduced in this paper. It has been fully evaluated in both small and large scale clusters, achieving satisfactory performances for different database operations.

关键词： Hadoop Hybrid system moving objects database hybrid systems parallel Lines database operation Engines MAPPING(MATHEMATICAL) Database File systems data types

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