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


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.

Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, CSB 2005 Workshops, Stanford, CA, USA, August 8-11, 2005