David A. Bader
IEEE Fellow
AAAS Fellow
Professor
College of Computing
Georgia Tech
Atlanta, GA 30332


 
 

 

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.

Publication History

Versions of this paper appeared as:
  1. D.A. Bader and V. Sachdeva, ``Incorporating life sciences applications in the architectural optimizations of next-generation petaflop-system,'' The 4th IEEE Computational Systems Bioinformatics Conference (CSB 2005), Stanford University, CA, August 8-11, 2005.

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Last updated: May 28, 2005

 




Computational Biology



Parallel Computing



Combinatorics