MapReduce has recently gained a lot of attention as a parallel programming model for scalable data-intensive business and scientific analysis. In order to benefit from this powerf...
A central problem in extending the von Neumann architecture to petaflop computers with millions of hardware threads and with a shared memory is defining the memory model [Lam79,...
This paper describes a powerful method for dead code analysis and elimination in the presence of recursive data constructions. We describe partially dead recursive data using live...
We propose a methodology for hypermedia design which is based on a UML profile for the hypermedia domain. Starting with a use case analysis and a conceptual model of the applicatio...
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...