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检索条件"任意字段=13th IEEE International Symposium on Parallel and Distributed Processing with Applications"

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Multigrain parallelism for eigenvalue computations on networks of clusters

Multigrain parallelism for eigenvalue computations on networ...

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international symposium on High Performance distributed Computing

作者： J.R. McCombs A. Stathopoulos Department of Computer Science College of William and Mary Williamsburg VA USA

Clusters of workstations have become a cost-effective means of performing scientific computations. However, large network latencies, resource sharing, and heterogeneity found in networks of clusters and Grids can impede the performance of applications not specifically tailored for use in such environments. A typical example is the traditional fine grain implementations of Krylov-like iterative methods, a central component in many scientific applications. To exploit the potential of these environments, advances in networking technology must be complemented by advances in parallel algorithmic design. In this paper, we present an algorithmic technique that increases the granularity of parallel block iterative methods by inducing additional work during the preconditioning (inexact solution) phase of the iteration. During this phase, each vector in the block is preconditioned by a different subgroup of processors, yielding a much coarser granularity. the rest of the method comprises a small portion of the total time and is still implemented in fine grain. We call this combination of fine and coarse grain parallelism multigrain. We apply this idea to the block Jacobi-Davidson eigensolver, and present experimental data that shows the significant reduction of latency effects on networks of clusters of roughly equal capacity and size. We conclude with a discussion on how multigrain can be applied dynamically based on runtime network performance monitoring.

关键词： parallel processing Eigenvalues and eigenfunctions Computer networks Concurrent computing Delay Iterative methods Iterative algorithms Workstations Resource management Impedance

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Using semantic information to guide efficient parallel I/O on clusters

Using semantic information to guide efficient parallel I/O o...

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international symposium on High Performance distributed Computing

作者： M. Schulz Lehrstuhl für Rechnertechnik und Rechnerorganisation (LRR-TUM) Institut für Informatik der Technischen Universität München Munich Germany

Despite the large I/O capabilities in modern cluster architectures with local disks on each node, applications mostly are not enabled to fully exploit them. this is especially problematic for data intensive applications which often suffer from low I/O performance. As one solution for this problem, a distribution I/O management (DIOM) system has been developed to manage a transparent distribution of data across cluster nodes and to then allow applications to access this data purely from local disks. In order to be effective, however, this distribution process requires semantic information about both the application and the input data. this work therefore extends DIOM to include independent specifications for both data formats and application I/O patterns and thereby decouples them. this work is driven by an application from nuclear medical imaging, the reconstruction of PET images, for which DIOM has proven to be an adequate solution enabling truly scalable I/O and thereby improving the overall application performance.

关键词： Positron emission tomography Image reconstruction Biomedical imaging Image storage Middleware Biomedical image processing Resource management Personal communication networks Operating systems Detectors

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Compiler-controlled parallelism-independent scheduling method for cluster computing systems

Compiler-controlled parallelism-independent scheduling metho...

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ieee international symposium on High Performance Computing Systems and applications (HPCS)

作者： K. Nikolova M. Sowa Graduate School of Information Systems University of Electro-Communications Tokyo Japan

We propose a hybrid parallelism-independent scheduling method, predominantly performed at compile time, which generates a machine code efficiently executable on any number of workstations or PCs in a cluster computing environment. Our scheduling algorithm called the dynamical level parallelism-independent scheduling algorithm (DLPIS) is applicable for distributed computer systems because additionally to the task scheduling, we perform message communication scheduling. It provides an explicit task synchronization mechanism guiding the task allocation and data dependency solution at run time at reduced overhead. Furthermore, we provide a mechanism allowing the self-adaptation of the machine code to the degree of parallelism of the system at run-time. therefore our scheduling method supports the variable number of processors in the users' computing systems and the adaptive parallelism, which may occur in distributed computing systems due to computer or link failure.

关键词： Processor scheduling Concurrent computing distributed computing Scheduling algorithm Dynamic scheduling parallel processing Hybrid power systems Workstations Personal communication networks Adaptive systems

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Using Semantic Information to Guide Efficient parallel I/O on Clusters 02

Using Semantic Information to Guide Efficient Parallel I/O o...

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Proceedings of the 11th ieee international symposium on High Performance distributed Computing

作者： Martin Schulz

ISBN: (纸本)9780769516868

Despite the large I/O capabilities in modern cluster architectures with local disks on each node, applications mostly are not enabled to fully exploit them. this is especially problematic for data intensive applications which often suffer from low I/O performance. As one solution for this problem, a Distribution I/O Management (DIOM) system has been developed to manage a transparent distribution of data across cluster nodes and to then allow applicationsto access this data purely from local disks. In order to be effective, however, this distribution process requires semantic information about both the application and the input data. this work therefore extends DIOM to include independent specifications for both data formats and application I/O patterns and thereby decouples them. this work is driven by an application from nuclear medical imaging, the reconstruction of PET images, for which DIOM has provento be an adequate solution enabling truly scalable I/O and thereby improving the overall application performance.

关键词： Medical Image processing parallel and distributed I/O distributed Data Management Cluster Middleware Data Intensive applications

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Performance analysis of a multithreaded pricing algorithm on Cilk

Performance analysis of a multithreaded pricing algorithm on...

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ieee international symposium on High Performance Computing Systems and applications (HPCS)

作者： R.K. thulasiram P. thulasiraman C. Adiele D. Bondarenko Department of Computer Science University of Manitoba Winnipeg Canada

In this paper, we develop a multithreaded algorithm for pricing simple options and implement it on a 8 node SMP machine using MIT's supercomputer programming language Cilk. the algorithm dynamically creates lots of threads to exploit parallelism and relies on the Cilk runtime system to distribute the computation load. We present both analytical and experimental results and our results explain how Cilk could be used effectively to exploit parallelism in the given problem. the analytical results show that our algorithm has a very high average parallelism and hence Cilk is the target paradigm to implement the algorithm. We conclude from our implementation results that the size of the threads, the number of threads created, the load balancer the cost of spawning a thread are parameters that must be considered while designing the algorithm on the Cilk platform.

关键词： Performance analysis Pricing Yarn parallel processing Algorithm design and analysis Supercomputers Computer languages Heuristic algorithms Concurrent computing distributed computing

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A performance evaluation of a temporally correct and optimistic concurrency control protocol

A performance evaluation of a temporally correct and optimis...

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international symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS)

作者： A. Boukerche T.W. Tuck Sungbum Hong Department of Computer Science University of North Texas USA

In this paper we focus on the temporary return of data values that are incorrect for given transactional semantics and could have catastrophic effects similar to those in parallel and discrete event simulation. In many applications using on-line transaction processing (OLTP) environments, for instance, it is best to delay the response to a transaction's read request until it is either known or unlikely that a write message from an older update transaction will not make the response incorrect. Examples of such applications are those where aberrant behavior is too costly, and those in which precommitted data are visible to some reactive entity. In light of the avoidance of risk in this approach, we propose a risk-free multiversion temporally correct (RFMVTC) concurrency control algorithm. We discuss the algorithm, its implementation and report on the performance results of simulation models using a cluster of workstations.

关键词： Concurrency control Protocols Transaction databases distributed databases Relational databases Application software Clustering algorithms Database systems Computer science Discrete event simulation

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distributed object-oriented applications supervision 15

Distributed object-oriented applications supervision

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15th international parallel and distributed processing symposium, IPDPS 2001

作者： Cottin, N. Gaber, J. Baala, O. Wack, M. University of Technology of Belfort-Montbeliard Belfort90010 France

ISBN: (纸本)0769509908

distributed object-oriented computing allows efficient use of the Network Of Workstations (NOW) paradigm. However, the underlying middlewares used to develop and deploy such applications do not provide developers with any standard supervision mechanism so that they know exactly what happens during their applications execution. this paper analyzes distributed CORBA and JAVA-based applications to point out functional and management supervision information which has to be gathered from the objects. Developers will use this information to improve the Quality of Service (QoS) of their distributed object-oriented applications (DOA). © 2001 ieee.

关键词： Quality of service

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Massively parallel distributed feature extraction in textual data mining using HDDI^TM

Massively parallel distributed feature extraction in textual...

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10th Annual ieee international symposium on High Performance distributed Computing

作者： Kuntraruk, J Pottenger, WM Lehigh Univ Comp Sci & Engn Dept Bethlehem PA 18015 USA

ISBN: (纸本)0769512968

One of the primary tasks in mining distributed textual data is feature extraction. the widespread digitization of information has created a wealth of data that requires novel approaches to feature extraction in a distributed environment. We propose a massively parallel model for feature extraction that employs unused cycles on networks of PCs/work-stations in a highly distributed environment. We have developed an analytical model of the time and communication complexity of the feature extraction process in this environment based on feature extraction algorithms developed in our textual data mining research with HDDI(TM) [1] [18] [20]. We show that speedups linear in the number of processors are achievable for applications involving reduction operations based on a novel, parallel pipelined model of execution. We are in the process of validating our analytical model with empirical observations based on the extraction of features from a large number of pages on the World Wide Web.

关键词： Feature extraction

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Real-time computation: A formal definition and its applications 15

Real-time computation: A formal definition and its applicati...

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15th international parallel and distributed processing symposium, IPDPS 2001

作者： Bruda, S.D. Akl, S.G. Department of Computing and Information Science Queen's University KingstonONK7L 3N6 Canada

ISBN: (纸本)0769509908

the formalism of well-behaved timed languages was proposed in [7] as a tool for modeling practical real-time applications. We use this formalism for modeling aspects from the areas of real-time database systems and ad hoc networks. We offer formulations for the recognition problem in real-time database systems and for the routing problem in ad hoc networks. We also suggest a variant of our formalism that is suited for modeling parallel distributed real-time algorithms. © 2001 ieee.

关键词： Ad hoc networks

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EASY-PIPE - An "Easy to use" parallel image processing environment based on algorithmic skeletons 15

EASY-PIPE - An "Easy to use" parallel image processing envir...

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15th international parallel and distributed processing symposium, IPDPS 2001

作者： Nicolescu, C. Jonker, P. Delft University of Technology Faculty of Applied Physics Pattern Recognition Group Lorentzweg 1 Delft2628CJ Netherlands

ISBN: (纸本)0769509908

the paper presents an approach of using algorithmic skeletons for adding data parallelism to an image processing library. the method is used for parallelizing image processing applications composed of low-level image operators on a distributed memory system. In this way, a user who wants to parallelize an image processing application is not involved in the design and the implementation of parallel algorithms, but his only task is how to select for each low-level operator the appropriate skeleton to obtain the parallel version of the application. Example of the multi-baseline stereo vision image processing aplication is given for reference. © 2001 ieee.

关键词： Stereo vision

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