We present algorithms for fast quantile and frequency estimation in large data streams using graphics processor units (GPUs). We exploit the high computational power and memory ba...
Naga K. Govindaraju, Nikunj Raghuvanshi, Dinesh Ma...
Recently, there has been an increased focus on modeling uncertainty by distributions. Suppose we wish to compute a function of a stream whose elements are samples drawn independen...
The aim of this paper is to demonstrate Hermes, a robust framework capable of aiding a spatio-temporal database developer in modeling, constructing and querying a database with dyn...
To reduce the manual effort of assessing potential affected program parts during software evolution, we develop a tool, called Celadon, which automates the change impact analysis ...
Generic Haskell is a language extension of Haskell for polytypic programming. Constrained types are parametric algebraic types with at least one argument constrained by type-class...