| Efficient Data—parallel Computations on Distributed Systems |
| |
| 引用本文： | 曾志勇,LU Xinda.Efficient Data—parallel Computations on Distributed Systems[J].高技术通讯(英文版),2002,8(3):92-96. |
| |
| 作者姓名： | 曾志勇 LU Xinda |
| |
| 作者单位： | Dept.ofComputerScienceandEngineering,ShanghaiJiaotongUniversity,Shanghai200030,P.R.China |
| |
| 摘 要： | Task scheduling determines the performance of NOW computing to a large extent.However,the computer system architecture,computing capability and system load are rarely proposed together,In this paper,a biggest-heterogeneous scheduling algorithm is presented.It fully considers the system characteristics(From application view).structure and state,So it always can utilize all processing resource under a reasonable premise.The results of experiment show the algorithm can signuificantly shorten the response time of jobs.
|
| 关 键 词： | 数据并行处理 分布系统 并行算法 |
Efficient Data-parallel Computations on Distributed Systems |
| |
| LU Xinda.Efficient Data-parallel Computations on Distributed Systems[J].High Technology Letters,2002,8(3):92-96. |
| |
| Authors: | LU Xinda |
| |
| Abstract: | Task scheduling determines the performance of NOW computing to a large extent.However,the computer system architecture, computing capability and sys tem load are rarely proposed together.In this paper,a biggest-heterogeneous scheduling algorithm is presented.It fully considers the system characterist ics (from application view), structure and state.So it always can utilize all processing resource under a reasonable premise.The results of experiment show the algorithm can significantly shorten the response time of jobs. |
| |
| Keywords: | parallel algorithms heterogeneous computing message passing load balancing |
| 本文献已被 维普 万方数据 等数据库收录！ |
|
