Using the High-Level Based Program Interface to Facilitate the Large Scale Scientific Computing

Abstract EN

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.