计算机工程2017，Vol.43Issue(2)：92-97,104,7.DOI:10.3969/j.issn.1000-3428.2017.02.016
通用图形处理器功耗估算模型
Power Estimation Model of General Purpose Graphics Processing Unit
王吉军 1程华2
作者信息
- 1. 江南计算技术研究所,江苏无锡214083
- 2. 中国科学院计算技术研究所,北京100080
- 折叠
摘要
Abstract
In order to get the GPU power data quickly and accurately,this paper proposes a General Purpose Graphics Processing Unit(GPGPU) power estimation model based on hardware performance counting events.Through analysing power distribution during GPGPU program running,it selects a set of performance events which are closely related to application program running power.Then it figures out the relationship between hardware performance counting events and realtime power using Back Propagation Atificial Neural Network (BP-ANN).Finally,it builds a GPGPU power estimation model.Experimental results indicate that compared with the Multiple Linear Regression (MLR) power estimation model,the proposed model has higher estimation accuracy and versatility.关键词
通用图形处理器/硬件性能计数事件/反向传播人工神经网络/交叉验证/功耗估算Key words
General Purpose Graphics Processing Unit (GPGPU)/hardware performance counting event/Back Propagation Atificial Neural Network (BP-ANN)/cross-validation/power estimation分类
信息技术与安全科学引用本文复制引用
王吉军,程华..通用图形处理器功耗估算模型[J].计算机工程,2017,43(2):92-97,104,7.
