Title
Peak Temperature Minimization for Embedded Systems with DVS Transition Overhead Consideration
Abstract
Peak temperature is a critical issue in chip multiprocessor (CMP) architecture design. Dynamic Voltage Scaling (DVS) is used nowadays to reduce power consumption and peak temperature. However, traditional DVS in literature usually fails to take into consideration of task dependencies and voltage transition overhead such as energy consumption. In this paper, we propose the ROtation Scheduling and voltage Assignment (ROSA) algorithm, to minimize peak temperature under energy consumption constraints in voltage transition. We conduct experiments on Kernel Linux equipped with 4 Intel Core Quad CPUs. The experimental results demonstrate that our algorithm can reduce the peak temperature on chip with 4.9°C more comparing with the List Scheduling Solution (LSS).
Year
DOI
Venue
2012
10.1109/HPCC.2012.71
HPCC-ICESS
Keywords
Field
DocType
dvs transition overhead,peak temperature,rotation scheduling,energy consumption,voltage transition,energy consumption constraint,traditional dvs,voltage assignment,peak temperature minimization,dynamic voltage scaling,chip multiprocessor,power consumption,linux,schedules,scheduling,embedded systems
Dynamic voltage scaling,Computer science,Scheduling (computing),Parallel computing,Voltage,Multiprocessing,Chip,Schedule,Minification,Energy consumption,Embedded system
Conference
ISSN
Citations 
PageRank 
2576-3504
11
0.49
References 
Authors
13
5
Name
Order
Citations
PageRank
Meikang Qiu13722246.98
Jianwei Niu21643141.54
Fei Pan3133.21
Yu Chen439175.79
Yongxin Zhu546658.07