We introduce BioGraphE, a general, scaleable integration platform for connecting graph problems in biology to computational solvers and high-performance systems. This framework will enable computational scientists to use these efficient and powerful systems more easily in solving complex graph problems. We investigate the use of a Boolean satisfiability solver known as Survey Propagation as a core computational solver and high-performance parallel systems that utilize multi-threaded processor architectures.
Revised: February 3, 2009 |
Published: August 15, 2007
Citation
Chin G., D. ChavarrÃa-Miranda, G.C. Nakamura, and H.J. Sofia. 2007.A high-performance computational framework for bionetwork analysis. In IMSCCS 2007. Second International Multi-Symposiums on Computer and Computational Sciences, 100 - 107. Los Alamitos, California:IEEE Computer Society.PNNL-SA-56243.doi:10.1109/IMSCCS.2007.8