We study clustering problems in the streaming model, where the goal is to cluster a set of points by making one pass (or a few passes) over the data using a small amount of storag...
We report performance evaluation of our automatic feature discovery method on the publicly available Gisette dataset: a set of 29 features discovered by our method ranks 129 among...
In a Computational Grid which consists of many computer clusters, job start time predictions are useful to guide resource selections and balance the workload distribution. However...
Hui Li, David L. Groep, Jeffrey Templon, Lex Wolte...
Thermal management is critical for clusters because of the increasing power consumption of modern processors, compact server architectures and growing server density in data center...
Matching and searching computations play an important role in the indexing of data. These computations are typically encoded in very tight loops with a single index variable and a...