Software Energy Optimization Through Fine-Grained Function-Level Voltage and Frequency Scaling

被引：0
|
作者：
Brandolese, Carlo [1 ]
Fornaciari, William [1 ]
机构：
[1] Politecn Milan, I-20133 Milan, Italy
来源：
CODES+ISSS'12:PROCEEDINGS OF THE TENTH ACM INTERNATIONAL CONFERENCE ON HARDWARE/SOFTWARE-CODESIGN AND SYSTEM SYNTHESIS | 2012年
关键词：
Power Optimization; Embedded Systems;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a methodology and a toolchain to perform estimation and optimization of the energy consumption associated to software execution on tiny embedded systems. The estimation phase is based on an ISA-level characterization of the target processor, while the optimization phase is made combining the estimation process with design space exploration in order to exploit fine-grained dynamic voltage and frequency scaling. The proposed approach operates at compile-time, with the granularity of single C functions and almost automatically augments the source code.
引用
收藏
页码：539 / 546
页数：8
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