Experiments with SmartGridSolve: Achieving Higher Performance by Improving the GridRPC Model

被引：9

作者：

Brady, Thomas ^{[1
]}

Guidolin, Michele ^{[1
]}

Lastovetsky, Alexey ^{[1
]}

机构：

[1] Univ Coll Dublin, Sch Informat & Comp Sci, Dublin 4, Ireland

来源：

2008 9TH IEEE/ACM INTERNATIONAL CONFERENCE ON GRID COMPUTING | 2008年

关键词：

D O I：

10.1109/GRID.2008.4662782

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper presents SmartGridSolve, an extension of GridSolve, the programming system for high performance computing. The extension is aimed at higher performance of Grid applications by providing the functionality for collective mapping of a group of tasks on to 47 network topology that is fully connected. This functionality was achieved with only a minor addition to the GridRPC API. The key to the implementation of collective mapping was to separate the mapping of tasks from their execution which is one atomic operation in the GridRPC model of GridSolve. This paper demonstrates the performance gained by collective mapping, with a real-life astrophysical experiment. The presented results show a significant speedup of 2.17 executing this application on a small network of two servers.

引用

页码：49 / 56

页数：8

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