Applications need to become more concurrent to take advantage of the increased computational power provided by chip level multiprocessing. Programmers have traditionally managed t...
Bratin Saha, Ali-Reza Adl-Tabatabai, Richard L. Hu...
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Motivation: The gene expression intensity information conveyed by (EST) Expressed Sequence Tag data can be used to infer important cDNA library properties, such as gene number and...
Ji-Ping Z. Wang, Bruce G. Lindsay 0002, James Leeb...
Abstract. A number of individual bioinformatics applications (particularly BLAST and other sequence searching methods) have recently been implemented over clusters of workstations ...
Concurrent programming languages are growing in importance with the advent of multi-core systems. However, concurrent programs suffer from problems, such as data races and deadloc...