Modern processors require highly accurate branch prediction for good performance. As such, a number of branch predictors have been proposed with varying size and complexity. This ...
Statistical simulation is driven by a stream of randomly generated instructions, based on statistics collected during a single detailed simulation. This method can give accurate p...
Sometimes inferences made at some specific time are valid at other times, too. In model-based diagnosis and monitoring as well as qualitative simulation inferences are often re-do...
Abstract. Scientists’ ability to generate and collect massive-scale datasets is increasing. As a result, constraints in data analysis capability rather than limitations in the av...
To address the problem of performing long time simulations of biochemical pathways under in vivo cellular conditions, we have developed a lattice-based, reaction-diffusion model t...
Elijah Roberts, John E. Stone, Leonardo Sepulveda,...