loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
Workload Characterization of Bioinformatics Applications
Atlanta, Georgia
September 27-September 29
ISBN: 0-7695-2458-3
Yue Li, Department of ECE University of Florida
Tao Li, Department of ECE University of Florida
Tamer Kahveci, Department of CISE University of Florida
Jos? Fortes, Department of ECE University of Florida

The exponential growth in the amount of genomic information has spurred growing interest in large scale analysis of genetic data. Bioinformatics applications represent the increasingly important workloads. However, very few results on the behavior of these applications running on the state-of-the-art microprocessor and systems have been published.

This paper proposes a suite of widely used bioinformatics applications and studies the execution characteristics of these benchmarks on a representative architecture - the Intel Pentium 4. To understand the impacts and implications of bioinformatics workloads on the microprocessor designs, we contrast the characteristics of bioinformatics workloads and the widely used SPEC 2000 integer benchmarks. The proposed bioinformatics benchmark suite as well as the input datasets can be downloaded from the following website: http://www.ideal.ece.ufl.edu/BioInfoMark.

Citation:
Yue Li, Tao Li, Tamer Kahveci, Jos? Fortes, "Workload Characterization of Bioinformatics Applications," mascots, pp.15-22, 13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, 2005
Usage of this product signifies your acceptance of the Terms of Use.