Incorporating life sciences applications in the architectural optimizations of next-generation petaflop-system

Author

Bader, David A. ; Sachdeva, Vipin

Author_Institution

Dept. of Electr. Eng. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA

fYear

2005

fDate

8-11 Aug. 2005

Firstpage

83

Lastpage

84

Abstract

Advances in experimental techniques have transformed biology into a data-intensive science, with a rapid explosion of data at the genomic and proteomic level. Few comprehensive suites of computationally-intensive life science applications are available to the computer science community for optimization of current high-performance architectures specifically targeted towards the computational biology applications. BioSplash represents a wide variety of open-source codes spanning the heterogeneity of algorithms, biological problems, popularity among biologists, and memory traits, gearing the suite to be of importance to both biologists and computer scientists.

Keywords

biology computing; cellular biophysics; genetics; molecular biophysics; optimisation; proteins; BioSplash; algorithm heterogeneity; architectural optimization; biological problem; computational biology application; data-intensive science; genomic level; high-performance architecture; life science application; memory trait; next-generation petaflop-system; open-source code; proteomic level; Application software; Bioinformatics; Biological information theory; Biology computing; Computer applications; Computer architecture; Computer science; Explosions; Genomics; Proteomics;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE

Print_ISBN

0-7695-2442-7

Type

conf

DOI

10.1109/CSBW.2005.77

Filename

1540550