The increasing complexity of hardware features for recent processors makes high performance code generation very challenging. In particular, several optimization targets have to b...
The advent of advanced graphics technologies and improved hardware has enabled the generation of highly complex models with huge number of triangles. Point-based representations a...
Kedarnath Thangudu, Lakshmi Gade, Jag Mohan Singh,...
Experiments in High Energy Physics (HEP) generate tremendous amounts of data. For example, the accelerator at CERN is expected to generate petabytes per year. New HEP discoveries ...
Jagadeesh Kasaraneni, Theodore Johnson, Paul Avery
The control flow of common processors does not match the specific needs of reactive systems. Key issues for these systems are preemption and concurrency, combined with timing pred...
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...