We present DITN, a new method of parallel querying based on dynamic outsourcing of join processing tasks to non-dedicated, heterogeneous computers. In DITN, partitioning is not th...
Some instructions have more impact on processor performance than others. Identification of these critical instructions can be used to modify and improve instruction processing. Pr...
Samantika Subramaniam, Anne Bracy, Hong Wang 0003,...
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
In the area of scientific visualization, input data sets are often very large. In visualization of Computational Fluid Dynamics (CFD) in particular, input data sets today can surp...
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...