计算机科学
并行计算
聚类分析
序列(生物学)
加速
多处理
编码(集合论)
星团(航天器)
算法
程序设计语言
人工智能
化学
生物化学
集合(抽象数据类型)
作者
John E. Carpenter,Alan Christoffels,Yael Weinbach,Winston Hide
摘要
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).
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