title: Assessment of the parallelization approach of d2_cluster for high-performance sequence clustering.
abstract: The exponential increase in expressed sequence tag (EST) sequence data amplifies the computational cost of clustering sequences such that new algorithms are required to analyze data at a greater rate. We have parallelized d2_cluster on a SGI Origin 2000 multiprocessor and observed a speedup of approximately 100x on 126 processors when processing a 15,876 EST dataset. The parallelized d2_cluster code is obtainable from the SANBI website (http://www.sanbi.ac.za/CODES).
authors.affiliation: SGI, 655E Lone Oak Drive, Eagan, Minnesota 55121, USA.
authors.forename: John E
authors.initials: JE
authors.lastname: Carpenter
authors.forename: Alan
authors.initials: A
authors.lastname: Christoffels
authors.forename: Yael
authors.initials: Y
authors.lastname: Weinbach
authors.forename: Winston A
authors.initials: WA
authors.lastname: Hide