Traditionally, instruction-set simulators (ISS’s) are sequential programs running on individual processors. Besides the advances of simulation techniques, ISS’s have been mainly driven by the continuously improving performance of single processors. However, since the focus of processor manufacturers is shifting from frequency scaling to multiprocessing, ISS developers need to seize this opportunity for further performance growth. This paper proposes a multiprocessing approach to accelerate one class of dynamiccompiled ISS’s. At the heart of the approach is a simulation engine capable of mixed interpretative and compiled simulation. The engine selects frequently executed target code blocks and translates them into dynamically loaded libraries (DLLs), which are then linked to the engine at run time. While the engine performs simulation on one processor, the translation tasks are distributed among several assistant processors. Our experiment results using SPEC CINT2000 benchmarks s...