An artificial neural network model of LRU-cache misses on out-of-order embedded processors

摘要

For in-order processors, the stack distance theory is a well-known means to fast model LRU-cache behaviors. However, it cannot be applied directly on out-of-order processors due to the changing of stack distance histograms by mechanisms such as reordering executions, speculative loads, load-in-store operations and non -blocking issues.