Data Centers

Performance Analysis of MPI (mpi4py) on Diskless Cluster Environment in Ubuntu

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Executive Summary

Now-a-days Cluster computing has become a crying need for the processing of large scale data. For computing large amount of data, which need huge execution time, the run time can be reduced using multiple processors and task distribution through cluster computing. It is the technique of sharing two or more computers' resources through a network (usually through a local area network) in order to take advantage of the parallel processing power of those computers. Clusters of computers are usually deployed to improve processing speed and/or reliability and scalability over that provided by a single computer. In this paper, the authors proposed a High Performance computing approach on Linux platform (Ubuntu) using Parallel Programming environment with the collaboration of multiple nodes for large scale computational work.

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