Using the high-level based program interface to facilitate the large scale scientific computing.
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ABSTRACT: This paper is to make further research on facilitating the large-scale scientific computing on the grid and the desktop grid platform. The related issues include the programming method, the overhead of the high-level program interface based middleware, and the data anticipate migration. The block based Gauss Jordan algorithm as a real example of large-scale scientific computing is used to evaluate those issues presented above. The results show that the high-level based program interface makes the complex scientific applications on large-scale scientific platform easier, though a little overhead is unavoidable. Also, the data anticipation migration mechanism can improve the efficiency of the platform which needs to process big data based scientific applications.
SUBMITTER: Shang Y
PROVIDER: S-EPMC3916069 | biostudies-other | 2014
REPOSITORIES: biostudies-other
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