Title :
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
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;
Conference_Titel :
Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
Print_ISBN :
0-7695-2442-7
DOI :
10.1109/CSBW.2005.77
