Using the High-Level Based Program Interface to Facilitate the Large Scale Scientific Computing
Autor: | Yizi Shang, Ling Shang, Chuanchang Gao, Guiming Lu, Yuntao Ye, Dongdong Jia |
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Jazyk: | angličtina |
Rok vydání: | 2014 |
Předmět: | |
Zdroj: | The Scientific World Journal, Vol 2014 (2014) |
Druh dokumentu: | article |
ISSN: | 2356-6140 1537-744X |
DOI: | 10.1155/2014/914514 |
Popis: | 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. |
Databáze: | Directory of Open Access Journals |
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