Abstract. In order to evaluate different scheduling strategies for parallel computers, simulations are often executed. As the scheduling quality highly depends on the workload tha...
This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...
A scheme for disk subsystem performance enhancement that is based on (virtual) cylinder remapping is proposed. A natural workload on a real system is measured, and statistical tes...
Robert Geist, Darrell Suggs, Robert G. Reynolds, S...
We present two parallel algorithms and their Unified Parallel C implementations for Bayesian indoor positioning systems. Our approaches are founded on Markov Chain Monte Carlo si...