通过对架构有意识的调度,优化对大规模问题的资源利用
Ali M Elsawwaf1, Gamal M Aly2, Hossam M Faheem3
1Computer and Systems Engineering Dept, Faculty of Engineering, Ain Shams University, Cairo, Egypt. 2002336@eng.asu.edu.eg.
研究人员为并行计算开发了一种基于架构的调度策略. 这种方法提高了大规模问题的计算效率和资源利用率,性能提高了16.7%.
科学领域:
- 计算机科学 计算机科学
- 高性能计算 高性能计算
背景情况:
- 平行架构及其异质性正在迅速发展.
- 有效的工作负载分配对于优化性能至关重要.
研究的目的:
- 为大规模问题提供一项关于优化资源利用的综合研究.
- 开发一个建筑意识的调度策略.
主要方法:
- 进行了测量执行时间的实验,测量了各种不同问题大小的各种架构的执行时间.
- 重复实验以最大限度地减少测量差异.
主要成果:
- 开发了一个调度策略,以更快地完成大型数据并行问题.
- 在大数据大小的情况下实现了16.7%的性能提升.
- 实现最大限度的资源利用.
结论:
- 拟议的架构意识的调度策略显著提高了计算效率.
- 这种方法可以降低高性能计算环境中的成本.
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