Abstract. Kernelizations are an important tool in designing fixed parameter algorithms for parameterized decision problems. We introduce an analogous notion for counting problems,...
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
As Moore’s Law continues to fuel the ability to build ever increasingly complex system-on-chips (SoCs), achieving performance goals is rising as a critical challenge to completi...
Wolf-Dietrich Weber, Joe Chou, Ian Swarbrick, Drew...
This paper investigates resource allocation policies for achieving real-time content distribution with subsecond delay bounds on the current Internet. Resource allocation in real-...
As system integration evolves and tighter design constraints must be met, it becomes necessary to account for the non-ideal behavior of all the elements in a system. For high-spee...
Carlos P. Coelho, Luis Miguel Silveira, Joel R. Ph...