DocumentCode
2227717
Title
Workload characterization of bioinformatics applications
Author
Li, Yue ; Li, Tao ; Kahveci, Tamer ; Fortes, José
Author_Institution
Dept. of Electr. & Comput. Eng., Florida Univ., USA
fYear
2005
fDate
27-29 Sept. 2005
Firstpage
15
Lastpage
22
Abstract
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.
Keywords
benchmark testing; biology computing; genetics; microprocessor chips; Intel Pentium 4; SPEC 2000 integer benchmark; bioinformatic application; genetic data; genomic information; microprocessor design; workload characterization; Application software; Bioinformatics; Computer architecture; Data analysis; Genetics; Genomics; Information analysis; Large-scale systems; Microprocessors; Proteins;
fLanguage
English
Publisher
ieee
Conference_Titel
Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, 2005. 13th IEEE International Symposium on
ISSN
1526-7539
Print_ISBN
0-7695-2458-3
Type
conf
DOI
10.1109/MASCOTS.2005.77
Filename
1521114
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