Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
In order to extract high levels of performance from modern parallel architectures, the effective management of deep memory hierarchies is very important. While architectural advan...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
Exploiting processor groups is becoming increasingly important for programming next-generation high-end systems composed of tens or hundreds of thousands of processors. This paper...
Jarek Nieplocha, Manojkumar Krishnan, Bruce Palmer...
Aspect-oriented software presents new challenges for the designers of static analyses. Our work aims to establish systematic foundations for dataflow analysis of AspectJ software....
Abstract. This paper presents a framework that lets a component developer provide a component user with different kinds of information, depending on the specific context and needs....
Alessandro Orso, Mary Jean Harrold, David S. Rosen...