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
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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||