OpenMP: Heterogenous Execution and Data Movements
OpenMP: Heterogenous Execution and Data Movements
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OpenMP：异构执行和数据移动
DOI：
10.1007/978-3-319-24595-9_16
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Alessi F
中科院分区：
文献类型：
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作者：
Alessi F
最近，功率以及相应的能量已经达到了一流的系统资源状态，与CPU时间等传统指标相当。为了降低能耗，已经研究了许多硬件和操作系统级的解决方案。然而，应用程序级别的信息（可以为系统提供有价值的见解，否则无法获得）只在少数情况下被考虑。我们介绍OpenMPE，这是OpenMP的扩展，专为电源管理而设计。OpenMP是编程并行共享内存系统的事实上的标准，但是还没有提供任何电源控制支持。我们的扩展暴露了(i)每个区域的多目标优化提示和（ii）应用级适应参数，以便为整个系统堆栈创造节能机会。我们已经在一个编译器和运行时系统中实现了OpenMPE支持，并对其在移动和桌面两种架构上的性能进行了实证评估。我们的结果证明了OpenMPE的有效性，在保持全面服务质量的同时，在9个用例中平均节省了15%的能源。
Power, and consequently energy, has recently attained first-class system resource status, on par with conventional metrics such as CPU time. To reduce energy consumption, many hardware- and OS-level solutions have been investigated. However, application-level information - which can provide the system with valuable insights unattainable otherwise - was only considered in a handful of cases. We introduce OpenMPE, an extension to OpenMP designed for power management. OpenMP is the de-facto standard for programming parallel shared memory systems, but does not yet provide any support for power control. Our extension exposes (i) per-region multi-objective optimization hints and (ii) application-level adaptation parameters, in order to create energy-saving opportunities for the whole system stack. We have implemented OpenMPE support in a compiler and runtime system, and empirically evaluated its performance on two architectures, mobile and desktop. Our results demonstrate the effectiveness of OpenMPE with geometric mean energy savings across 9 use cases of 15 % while maintaining full quality of service.