Name
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 pa-rallelized 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://w,A,w.sanbi.ac.za/CODES). |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1002/jcc.10025 | JOURNAL OF COMPUTATIONAL CHEMISTRY |
Keywords | Field | DocType |
d2_cluster,sequence clustering,parallel algorithms,EST | Sequence clustering,Expressed sequence tag,Computer science,Parallel algorithm,Parallel computing,Multiprocessing,Data sequences,Cluster analysis,Speedup | Journal |
Volume | Issue | ISSN |
23 | 7 | 0192-8651 |
Citations | PageRank | References |
7 | 1.24 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| John E. Carpenter | 1 | 13 | 2.21 |
| Alan Christoffels | 2 | 100 | 10.81 |
| Yael Weinbach | 3 | 7 | 1.24 |
| Winston A. Hide | 4 | 40 | 6.02 |