Paper Info
Title
Power Consumption Analysis of Parallel Algorithms on GPUs
Abstract
Due to their highly parallel multi-cores architecture, GPUs are being increasingly used in a wide range of computationally intensive applications. Compared to CPUs, GPUs can achieve higher performances at accelerating the programs' execution in an energy-efficient way. Therefore GPGPU computing is useful for high performance computing applications and in many scientific research fields. In order to bring further performance improvements, GPU clusters are increasingly adopted. The energy consumed by GPUs cannot be neglected. Therefore, an energy-efficient time scheduling of the programs that are going to be executed by the parallel GPUs based on their deadline as well as the assigned priorities could be deployed to face their energetic avidity. For this reason, we present in this paper a model enabling the measure of the power consumption and the time execution of some elementary operations running on a single GPU using a new developed energy measurement protocol. Consequently, using our methodology, energy needs of a program could be predicted, allowing a better task scheduling.
Year
DOI
Venue
2014
10.1109/HPCC.2014.54
HPCC/CSS/ICESS
Keywords
Field
DocType
vectors,central processing unit,oscilloscopes
Analysis of parallel algorithms,Central processing unit,Architecture,Green computing,Supercomputer,Computer science,Scheduling (computing),Parallel computing,Real-time computing,Energy consumption,Power consumption,Distributed computing
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
8
Name
Order
Citations
PageRank
Frédéric Magoulès120028.05
Abal-Kassim Cheik Ahamed2295.89
Alban Desmaison3174.63
Jean Christophe Lechenet400.34
Francois Mayer500.34
Haifa Ben Salem621.76
Thomas Zhu700.34
Cheik Ahamed, A-.K.800.68