By Topic

Energy-Constrained OpenMP Static Loop Scheduling

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Juan Chen ; Sch. of Comput., Nat. Univ. of Defense Technol., Changsha ; Yong Dong ; Xuejun Yang ; Panfeng Wang

In high performance parallel computing, energy optimization for parallel loops becomes one key because the time of loops often takes a significant part of the whole execution time. Energy-constrained problem is one of the important research focuses. This paper studies energy-constrained problem based on OpenMP static loop scheduling. Firstly, we propose energy-constrained static scheduling algorithm (ECSS), which utilizes DVS to scale down voltage/frequency of the light-loaded processors in terms of energy constraint. Secondly, we propose Energy Constraint based Performance-Optimal Static Scheduling algorithm (ECPOSS), which combines loop rescheduling and DVS for the better performance under the same energy constraint. We prove ECPOSS can obtain the best performance under the same energy constraint. Through testing NPB3.2-OMP programs on 20-160 multiprocessor simulation environment, we evaluate the effectiveness of our algorithms. Experimental results show the performance of ECPOSS is better than that of ECSS by 4.81% under the 50% energy constraint on 100 processors.

Published in:

High Performance Computing and Communications, 2008. HPCC '08. 10th IEEE International Conference on

Date of Conference:

25-27 Sept. 2008