This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...
Interest in Graphical Processing Units (GPUs) is skyrocketing due to their potential to yield spectacular performance on many important computing applications. Unfortunately, writ...
Many properties of parametric, polymorphic functions can be determined simply by inspection of their types. Such results are usually proven using Reynolds's parametricity the...
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
A parallel computing approach for large-scale SPICE-accurate circuit simulation is described that is based on a new preconditioned iterative solver. The preconditioner involves the...
Heidi Thornquist, Eric R. Keiter, Robert J. Hoekst...