  Fluid Stochastic Petri Nets are used to capture the dynamic behavior of an
ILP processor, and discrete-event simulation is applied to assess the
performance potential of predictions and speculative execution in boosting the
performance of ILP processors that fetch, issue, execute and commit a large
number of instructions per cycle.
