The analysis of modem power system becomes more computation intensive, and has to be performed in a dispersed IT infrastructure due to the inherently distributed topology of power system. Grid computing is potentially...
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ISBN:
(纸本)0769525547
The analysis of modem power system becomes more computation intensive, and has to be performed in a dispersed IT infrastructure due to the inherently distributed topology of power system. Grid computing is potentially an ideal solution for electric power system and power network infrastructure, also provides potential application field for grid computing because grid computing is most efficient in a large organization. This paper presents a new version of MPI (Message Passing Interface) based on P2P, WD-MPI, in order to exploit the maximum performance in a heterogeneous environment for power system distributedcomputing. The problems of traditional MPI and some versions of modified MPI to improve its performance on heterogeneous and wide area network are analyzed. The system structure is presented and the design of the system, including asynchronous iterative algorithm, task and resource partition, is presented. The power flow calculation problem of an IEEE 300 bus system is used to compare the performances of the proposed scheme and previous solutions. The test is performed in a grid environment built in campus, which can simulate the behavior of wide area network to some extent. The test results show that the P2P based WD-MPI can give better performance than that of MPICH, MPICH-G2 and Globus solution.
Grid computing provides new solutions for numerous complex problems. It is an inevitable trend to implement the distributed parallel computing of large-scale problems with the grid. This paper presents two implementat...
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ISBN:
(纸本)0769525814
Grid computing provides new solutions for numerous complex problems. It is an inevitable trend to implement the distributed parallel computing of large-scale problems with the grid. This paper presents two implementations for distributed parallel computing on Globus Toolkit, a wide-used grid environment. The first implementation, Loosely Coupled parallel Services is used to achieve the large-scale parallelcomputing that can be broken down into independent sub-jobs by using the corresponding implementation framework, and the second implementation, Grid MPI parallel Program is able to deal with specialized applications, which can't easily be split up into numerous independent chunks, by using the proposed implementation framework. Finally, Two examples of large-scale parallelcomputing based on proposed implementations are achieved and the experimental results are shown. We make a beneficial attempt to implement distributed parallel computing on grid computing environments.
Advanced digital photogrammetry and remote sensing technology produces large terrain datasets (LTD). How to process and use these LTD has become-a big challenge for GIS users. Extracting drainage networks, which are b...
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Advanced digital photogrammetry and remote sensing technology produces large terrain datasets (LTD). How to process and use these LTD has become-a big challenge for GIS users. Extracting drainage networks, which are basic for hydrological applications, from LTD is one of the typical applications of digital terrain analysis (DTA) in geographical information applications. Existing serial drainage algorithms cannot deal with large data volumes in a timely fashion, and few GIS platforms can process LTD beyond the GB size. High throughput computing (HTC) a distributed parallel computing mode, is proposed to improve the efficiency of drainage networks extraction from LTD. Drainage network extraction using HTC involves two key issues: (1) how to decompose the large DEM datasets into independent computing units and (2) how to merge the separate outputs into a final result. A new decomposition method is presented in which the large datasets are partitioned into independent computing units using natural watershed boundaries instead of using regular 1-dimensional (strip-wise) and 2-dimensional (block-wise) decomposition. Because the distribution of drainage networks is strongly related to watershed boundaries, the new decomposition method is more effective and natural. The method to extract natural watershed boundaries was improved by using multi-scale DEMs instead of single-scale DEMs. A HTC environment is employed to test the proposed methods with real datasets. (c) 2008 Elsevier Ltd. All rights reserved.
This paper presents a mobile-agent-based distributed parallel computing middleware (MDPCM) that is used to implement distributed parallel computing by sharing computing resources among Internet users. The middleware i...
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ISBN:
(纸本)9789806560550
This paper presents a mobile-agent-based distributed parallel computing middleware (MDPCM) that is used to implement distributed parallel computing by sharing computing resources among Internet users. The middleware is divided into two layers with characteristics of the mobile agent technology and it provided basic services for the distributed parallel computing, especially system communication, job migration and fault tolerance mechanism. The main implementation technologies are analyzed and discussed. A prototype system MDPCM-based is implemented and the experiment results are shown.
Message Passing ( MP) and distributed Shared Memory (DSM) are the two most common approaches to distributed parallel computing. MP is difficult to use, whereas DSM is not scalable. Performance scalability and ease of ...
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Message Passing ( MP) and distributed Shared Memory (DSM) are the two most common approaches to distributed parallel computing. MP is difficult to use, whereas DSM is not scalable. Performance scalability and ease of programming can be achieved at the same time by using navigational programming (NavP). This approach combines the advantages of MP and DSM, and it balances convenience and flexibility. Similar to MP, NavP suggests to its programmers the principle of pivot-computes and hence is efficient and scalable. Like DSM, NavP supports incremental parallelization and shared variable programming and is therefore easy to use. The implementation and performance analysis of real-world algorithms, namely parallel Jacobi iteration and parallel Cholesky factorization, presented in this paper supports the claim that the NavP approach is better suited for general-purpose paralleldistributed programming than either MP or DSM.
The EJB standard of Sun Company is a typical designing criterion of *** this paper we build up a distributed parallel computing system based on EJB and implement the parallel algorithms of matrix multiplication with t...
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The EJB standard of Sun Company is a typical designing criterion of *** this paper we build up a distributed parallel computing system based on EJB and implement the parallel algorithms of matrix multiplication with the system. Experimental results show that the system can obtain a rapid speedup with the increase of computing nodes and the sizes of matrixes.
The paper focuses on the implements of distributed parallel computing oil Scilab, a wide-used Grid environment. Netbutterfly Grid computing System (NGCS) is designed, Some of key issues, such as the architecture of NG...
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ISBN:
(纸本)3540311580
The paper focuses on the implements of distributed parallel computing oil Scilab, a wide-used Grid environment. Netbutterfly Grid computing System (NGCS) is designed, Some of key issues, such as the architecture of NGCS job distributing, system communications, fault tolerance and security problem are analyzed and discussed. And a new science computing method is advanced. Finally, an example on Grid computing environments is presented. The experiment shows that it's the results are satisfying.
This paper analyses the problems of some applications on the traditional distributed parallel computing and running on the grid, extends the Log P parallelcomputing model to the grid and presents the double Log P mod...
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This paper analyses the problems of some applications on the traditional distributed parallel computing and running on the grid, extends the Log P parallelcomputing model to the grid and presents the double Log P model. And then it presents the strategy to design parallel algorithm on the grid, finally improves the parallel algorithm of CG according to the characters of the grid.
There have been ever-increasing requirements for the efficient storage, management, and visualization of large volumes of data resulting from high performance computing with the increased computing capabilities of sup...
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There have been ever-increasing requirements for the efficient storage, management, and visualization of large volumes of data resulting from high performance computing with the increased computing capabilities of supercomputers. This paper gives an outline of the NEC application software that meets such requirements.
Techniques for wrapping an MPI-based molecular dynamics (MD) simulation code as Java/CORBA components, for use within a distributed component based problem solving environment (CB-PSE), is presented. A legacy code for...
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Techniques for wrapping an MPI-based molecular dynamics (MD) simulation code as Java/CORBA components, for use within a distributed component based problem solving environment (CB-PSE), is presented. A legacy code for simulating a Lennard-Jones fluid is first wrapped as a single CORBA object, followed by division of the code into computational sub-units, where each sub-unit is wrapped as a CORBA object containing MPI calls, and run on a cluster of workstations - enabling different MPI implementations to inter-operate. Using a Java implementation, users can submit simulation tasks through a Web based inter-face, without needing to know implementation details of the legacy code, or the exact interaction between sub-units within the code. We provide performance comparisons of wrapping the entire MD code as a single object versus wrapping sub-units within it, and offer a simple performance model to explain our findings. (C) 2001 Elsevier Science B.V. All rights reserved.
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