SPRAT: Runtime processor selection for energy-aware computing
SPRAT: Runtime processor selection for energy-aware computing
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DOI：
10.1109/clustr.2008.4663799
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发表时间：
2008-10
期刊：
影响因子：
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通讯作者：
Hiroyuki Takizawa;Katsuto Sato;Hiroaki Kobayashi
中科院分区：
文献类型：
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作者：
Hiroyuki Takizawa;Katsuto Sato;Hiroaki Kobayashi
商用个人计算机（PC）可以被看作是配备有两种不同类型的处理器（即CPU和图形处理单元（GPU））的混合计算系统。由于GPU在性能和功率效率方面的优势强烈依赖于系统配置和运行时确定的数据大小，因此程序员不能总是知道应该使用哪个处理器来执行某个内核。因此，本文提出了一个运行时环境，动态选择合适的处理器，以提高能源效率。评估结果清楚地表明，运行时处理器的选择在执行每个内核与给定的数据流是有前途的能量感知计算的混合计算系统。
A commodity personal computer (PC) can be seen as a hybrid computing system equipped with two different kinds of processors, i.e. CPU and a graphics processing unit (GPU). Since the superiorities of GPUs in the performance and the power efficiency strongly depend on the system configuration and the data size determined at the runtime, a programmer cannot always know which processor should be used to execute a certain kernel. Therefore, this paper presents a runtime environment that dynamically selects an appropriate processor so as to improve the energy efficiency. The evaluation results clearly indicate that the runtime processor selection at executing each kernel with given data streams is promising for energy-aware computing on a hybrid computing system.