Using BOINC Desktop Grid for High Performance Memory Detection
Memory detection computation, data intensive applications, demands large computing resources. Mainframes are usually used to accelerate its computation. However, this solution seems to be costly. In this paper, we present an alternative approach of using desktop grid, using PC computers idle CPU time, to realize parallel processing of memory detection. In order to demonstrate the effectiveness of this approach, a serial of simulation experiments were done. The results show that it is a feasible approach for memory detection computation.
BOINC desktop grid memory detection high performance computing
Huiping Yao Lei Zhao Ying Li Jiwen Yang
School of Computer Science and Technology Soochow University Suzhou 215006, China
国际会议
第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science & Education)
南京
英文
1159-1162
2009-07-25（万方平台首次上网日期，不代表论文的发表时间）