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Research On Web-Based Integrated Develop Environment For MPI

Posted on:2008-05-03Degree:MasterType:Thesis
Country:ChinaCandidate:J ZhaoFull Text:PDF
GTID:2178360272968054Subject:Computer system architecture
Abstract/Summary:PDF Full Text Request
Most of the existing HPC (High Performance Computing) only provide a local task manager and cluster management CLI (Command Line Interface) in the clusters. The Web-based integrated development environment for parallel programming is able to provide all the services in the parallel programming process: The Web-Based Integrated development service providing services to the long-range development of parallel programs; Cluster management services privides remote monitoring of the cluster state. The research is of high practical value.The design of the framework with system management authority is a hard nut to crack in this research. Data storage by database and simulated TCP is an effective way to ensure the safety of interactive processes. Through modular design, taking scalability fully into account, effectively implement the management of the configuration, shield the bottom details, and provides a cluster solution for remote monitoring of the task management.The Web-based integrated development environment backed by the technical trend of Web2.0, prepose a parallel program design process all of the services. Through the development of Web-based graphical interface, as compared to the traditional command line interface mode, it greatly improves the development efficiency. The dynamic tree provide a definitive solution to implement remote file operations and editing documents.To achieve a general sense, task scheduling is to maximize the utilization of resources. But for the development of task scheduling, Real-time is more important. For different users, they will have an anticipation time to the complete time of their tasks, an algorithm called expect-based alogrithem is design through to meet user expectations to the greatest extent.
Keywords/Search Tags:High Performance Computing, Task Submit, Parellel Computing, Develop Environment, Cluster, User Management
PDF Full Text Request
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