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共 506 条记录，以下是171-180 订阅

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Recent advances in parallel Virtual Machine and Message Passing Interface 14th European PVM/MPI Users' Group Meeting, proceedings

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14th European PVM/MPI Users' Group Meeting on parallel Virtual Machine and Message Passing Interface

ISBN: (纸本)9783540754152

The proceedings contain 48 papers. The topics discussed include: new and old tools and programming models for high-performance computing;verifying parallel programs with MPI-Spin;advanced MPI programming;full bandwidth broadcast, reduction and scan with only two trees;process cooperation in multiple message broadcast;a case for standard non-blocking collective operations;optimization of collective communications in HeteroMPI;investigations on InfiniBand: efficient network buffer utilization at scale;improving MPI support for applications on hierarchically distributed resources;extending the MPI-2 generalized request interface;transparent log-based data storage in MPI-IO applications;analysis of implementation options for MPI-2 one-sided;revealing the performance of MPI RMA implementations, and distributed real-time computing with harness.

关键词： Interfaces (computer)

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advances in Systems, computing Sciences and Software Engineering - proceedings of SCSS 2005

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International Conference on Systems, computing Sciences and Software Engineering, SCSS 2005, Part of the International Joint Conference on Computer, Information, and Systems Sciences, and Engineering, CISSE 2005

ISBN: (纸本)1402052626

The proceedings contain 66 papers. The topics discussed include: an elastic display method for visualizing and navigating a large quantity of alarms in a control room of a nuclear power plant;parallel construction of Huffman codes;semantic description of multimedia content adaptation web services;grid computing communication strategies for cross cluster job execution;glue code synthesis for distributed software programming;an improved configuration similarity retrieval model;content based image retrieval using quadrant motif scan;method of key vectors extraction using R-cloud classifiers;semantic web knowledge management;augmented color recognition by applying erasure capability of Reed-Solomon algorithm;reversers - a programming language construct for reversing out of code;and a mobile location algorithm using clustering technique for NLoS environments.

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A MAC layer protocol supporting the application of WSNs in medicine and healthcare domains

A MAC layer protocol supporting the application of WSNs in m...

引用

2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence Networking and parallel distributed computing, SNPD 2011

作者： Zhang, Zhongwei Zhou, Hong Department of Mathematics and Computing Faculty of Sciences University of Southern Queensland Toowoomba QLD 4350 Australia Department of Electronic Engineering Faculty of Engineering and Surveying University of Southern Queensland Toowoomba QLD 4350 Australia

ISBN: (纸本)9780769544755

Application of Wireless Sensor Networks (WSN) in many fields has achieved a significant advances, many research can be seen in military, industrial control surveillance, and bush fire and wild habitant monitoring, However, it is a bit too early to claim the application of WSN in the domain of Medicine and Healthcare (M&HC) a big success. The major obstacle is the concern raised by the users that how secure the collected data is stored or transmitted over the underlying WSN and how to protect privacy while taking advantage of the technology. In this paper, a sensible solution is proposed to improve the security by augmenting the IEEE 802.15.4 standard with intrusion detection and counterattack mechanism. © 2011 IEEE.

关键词： Intrusion detection

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Scheduling jobs in grids adaptively

Scheduling jobs in grids adaptively

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2009 IEEE International Symposium on parallel and distributed Processing with Applications, ISPA 2009

作者： Chang, Ruay-Shiung Lin, Chih-Yuan Lin, Chun-Fu Department of Computer Science Information Engineering National Dong Hwa University Hualien Taiwan

ISBN: (纸本)9780769537474

When human culture advances, current problems in science and engineering become more complicated and need more computing power to tackle and analyze. A supercomputer is not the only choice for complex problems any more as a result of the speed-up of personal computers and networks. Grid technology, which connects a number of personal computers with high speed networks, can achieve the same computing power as a supercomputer does, also with a lower cost. However, grid is a heterogeneous system. Scheduling independent tasks on it is more complicated. In order to utilize the power of grid completely, we need an efficient job scheduling algorithm to assign jobs to resources in a grid. In this paper, we propose an Adaptive Scoring Job Scheduling algorithm (ASJS) for the grid environment. Compared to other methods, it can decrease the completion time of all submitted jobs, which may compose of computingintensive jobs and data-intensive jobs.

关键词： Grid computing

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Industrial image processing system allows parallel computing on sensor data

Industrial image processing system allows parallel computing...

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advances in Image Processing 1987

作者： Bermbach, Rainer Scharfenberg, Harald HEIMANN GMBH Abt. Bi1dverarbeitung P. O. Box 3007 WiesbadenD-6200 Germany

ZSA, an industrial image processing system is characterized by a modern parallel architecture for digital signal processing. Besides the use of standard video cameras the system is strongly intended to be used with one dimensional sensors like CCD line cameras, x-ray and infrared arrays. In the basic ZSA system the processing power is distributed among two processors, a programmable digital signal processor (DSP) for rapid processing of the incoming data and a 16 bit standard microprocessor which not only performs system management and communication but also can be used for signal processing of the preprocessed image data coming from the DSP. In order to increase the computing power for the handling of fast data streams special hardware preprocessor modules dramatically reduce the data rate so that the programmable units can operate in realtime. In a different approach increasing of computing power is achieved by parallel processing of a ZSA master board and three ZSA slaves where the standard microprocessor controls the results of the four DSPs. Additionally, combining several master/slave configurations to a master/slave cluster further increases the computing power. © 1987 SPIE. All rights reserved.

关键词： Digital signal processors

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Noncontiguous I/O accesses through MPI-IO

Noncontiguous I/O accesses through MPI-IO

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3rd IEEE/ACM International Symposium on Cluster computing and the Grid (CCGrid2003)

作者： Ching, A Choudhary, A Coloma, K Liao, WK Ross, R Gropp, W Northwestern Univ Ctr Parallel & Distributed Comp Evanston IL 60208 USA

ISBN: (纸本)0769519199

I/O performance remains a weakness of parallel computing systems today. While this weakness is partly attributed to rapid advances in other system components, I/O interfaces available to programmers and the I/O methods supported by file systems have traditionally not matched efficiently with the types of I/O operations that scientific applications perform, particularly noncontiguous accesses. The MPI-IO interface allows for rich descriptions of the I/O patterns desired for scientific applications and implementations such as ROMIO have taken advantage of this ability while remaining limited by underlying file system methods. A method of noncontiguous data access, list I/O, was recently implemented in the parallel Virtual File System (PVFS). We implement support for this interface in the ROMIO MPI-IO implementation. Through a suite of noncontiguous I/O tests we compared ROMIO list I/O to current methods of ROMIO noncontiguous access and found that the list I/O interface provides performance benefits in many noncontiguous cases.

关键词： File organization

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Fault recovery for distributed shared memory systems

Fault recovery for distributed shared memory systems

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proceedings of the 1997 IEEE Aerospace Conference. Part 4 (of 4)

作者： Dieter, William R. Lumpp Jr., James E. Univ of Kentucky Lexington United States

distributed Shared Memory (DSM) offers programmers a shared memory abstraction on top of an underlying network of distributed memory machines. advances in network technology and price/performance of workstations suggest that DSM will be the dominant paradigm for future high-performance computing. However, as long running DSM applications scale to hundreds or even thousands of machines, the probability of a node or network link failing increases. Fault tolerance is typically achieved via `checkpointing' techniques that allow applications to `roll back' to a recent checkpoint rather than restarting. High-performance DSM systems using relaxed memory consistency are significantly more difficult to checkpoint than uniprocessor or message passing architectures. This paper describes previous approaches to checkpointing message passing parallel programs along with extensions to DSM systems.

关键词： distributed computer systems

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Load balanced, efficient scheduling with parallel job submission in computational grids using parallel particle swarm optimization

Load balanced, efficient scheduling with parallel job submis...

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2009 World Congress on Nature and Biologically Inspired computing, NABIC 2009

作者： Sadhasivam, G. Sudha Meenakshi, D. Komagal CSE Department PSG College of Technology Coimbatore - 641 004 India

ISBN: (纸本)9781424456123

Management of resource and application scheduling in a highly distributed heterogeneous Grid environment is a complex and challenging task. Processing jobs at the grid resources in a fine grained form results in a low computation - communication ratio. This necessitates the dynamic assembly of fine grained jobs into groups of jobs before dispatching them to the resources. Recent advances in computer and network technologies have led to parallel optimization algorithms. Here a novel job grouping method using parallel Particle Swarm Optimization (PPSO) is proposed to reduce the communication overhead, enhance the speed of completion of processes, improve resource utilization, and parallel efficiency. The proposed approach uses PPSO to group the jobs and to submit them in parallel to the grid resources. Trust based parallel job submission is also proposed to ensure security and improve on job submission time. The proposed approach has been implemented and tested by extending the features of GridSim, a simulation toolkit for grid environment. ©2009 IEEE.

关键词： Grid computing

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parallel training and testing methods for complex image processing algorithms on distributed, heterogeneous, unreliable, and non-dedicated resources

Parallel training and testing methods for complex image proc...

引用

Conference on parallel Processing for Imaging Applications

作者： Usamentiaga, Ruben Garcia, Daniel F. Molleda, Julio Sainz, Ignacio Bulnes, Francisco G. Univ Oviedo Dept Comp Sci Gijon 33204 Asturias Spain

ISBN: (纸本)9780819484093

advances in the image processing field have brought new methods which are able to perform complex tasks robustly. However, in order to meet constraints on functionality and reliability, imaging application developers often design complex algorithms with many parameters which must be finely tuned for each particular environment. The best approach for tuning these algorithms is to use an automatic training method, but the computational cost of this kind of training method is prohibitive, making it inviable even in powerful machines. The same problem arises when designing testing procedures. This work presents methods to train and test complex image processing algorithms in parallel execution environments. The approach proposed in this work is to use existing resources in offices or laboratories, rather than expensive clusters. These resources are typically non-dedicated, heterogeneous and unreliable. The proposed methods have been designed to deal with all these issues. Two methods are proposed: intelligent training based on genetic algorithms and PVM, and a full factorial design based on grid computing which can be used for training or testing. These methods are capable of harnessing the available computational power resources, giving more work to more powerful machines, while taking its unreliable nature into account. Both methods have been tested using real applications.

关键词： parallelization on unreliable non-dedicated resources parallel training parallel genetic algorithms image processing based on grid computing

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A Probabilistic Fault-Tolerant Recovery Mechanism for Task and Result Certification of Large-Scale distributed Applications

A Probabilistic Fault-Tolerant Recovery Mechanism for Task a...

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4th International Conference on Grid and Pervasive computing

作者： Chayeh, Rim Cerin, Christophe Jemni, Mohamed Unite Rech UTIC Ecole Super Sci & Tech Tunis 5 Av Taha HusseinBP 56 Tunis Tunisia Univ Paris CNRS UMR 7030 Inst Galilee LIPN F-93430 Villetaneuse France

ISBN: (纸本)9783642016707

This paper deals with fault tolerant recovery mechanisms and probabilistic results certification issues on large scale architectures. The related works in the result certification domain are based on a total or a partial duplication of the application. However, they are limited to independent tasks executions. In the present work, we extend these mechanisms to dependant tasks applications. First of all we propose an approach, based on an abstract representation of a parallel execution called macro-dataflow graph. Second we introduce probabilistic certification algorithms that avoid the re-execution of the program, allowing for recovery on different platforms under different number of processors. We also sketch how to simulate our framework according to state of the art, modeling workloads and fault injection tools.

关键词： Meta-computing distributed systems Probabilistic certification Recovery Result checking Fault-Tolerance by value

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