Paper Info
Title
Toward energy efficiency in heterogeneous processors: findings on virtual screening methods
Abstract
The integration of the latest breakthroughs in computational modeling and high performance computing HPC has leveraged advances in the fields of healthcare and drug discovery, among others. By integrating all these developments together, scientists are creating new exciting personal therapeutic strategies for living longer that were unimaginable not that long ago. However, we are witnessing the biggest revolution in HPC in the last decade. Several graphics processing unit architectures have established their niche in the HPC arena but at the expense of an excessive power and heat. A solution for this important problem is based on heterogeneity. In this paper, we analyze power consumption on heterogeneous systems, benchmarking a bioinformatics kernel within the framework of virtual screening methods. Cores and frequencies are tuned to further improve the performance or energy efficiency on those architectures. Our experimental results show that targeted low-cost systems are the lowest power consumption platforms, although the most energy efficient platform and the best suited for performance improvement is the Kepler GK110 graphics processing unit from Nvidia by using compute unified device architecture. Finally, the open computing language version of virtual screening shows a remarkable performance penalty compared with its compute unified device architecture counterpart. Copyright © 2013 John Wiley & Sons, Ltd.
Year
DOI
Venue
2014
10.1002/cpe.3119
Concurrency and Computation: Practice & Experience
Keywords
DocType
Volume
energy efficiency,heterogenous computing,molecular docking
Journal
26
Issue
ISSN
Citations 
10
1532-0626
1
PageRank 
References 
Authors
0.36
4
6
Name
Order
Citations
PageRank
Ginés D. Guerrero1485.31
Juan Manuel Cebrian22410.19
Horacio Emilio Pérez Sánchez3336.01
Jose M. Garcia414513.30
Manuel Ujaldon524426.71
José M. Cecilia616622.28