Abstract
It is recognised that the availability of a large number of workstations connected through a network can represent an attractive option for many organisations to provide to application programmers an alternative environment for high-performance computing. The original specification of the Message-Passing Interface (MPI) standard was not designed as a comprehensive parallel programming environment and some researchers agree that the standard should be preserved as simple and clean as possible. Nevertheless, a software environment such as MPI should have somehow a scheduling mechanism for the effective submission of parallel applications on network of workstations. This paper presents the performance results and benefits of an alternative lightweight approach called Selective — MPI (S-MPI), which was designed to enhance the efficiency of the scheduling of applications on parallel workstation cluster environments.KeywordsParallel ApplicationCluster ConfigurationAlternative EnvironmentGaussian AlgorithmWorkstation ClusterThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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