Parallel software is increasingly necessary to take advantage of multi-core architectures, but it is also prone to concurrency bugs which are particularly hard to avoid, find, an...
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Traditional workload management methods mainly focus on the current system status while information about the interaction between queued and running transactions is largely ignore...
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Mi...
The simulations used in the field of high energy physics are compute intensive and exhibit a high level of data parallelism. These features make such simulations ideal candidates ...
Laura Gilbert, Jeff Tseng, Rhys Newman, Saeed Iqba...
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...