Dynamic binary translation specialized for embedded systems

Abstract

This paper describes the design and implementation of a novel dynamic binary translation technique specialized for embedded systems. Virtual platforms have been widely used to develop embedded software and dynamic binary translation is essential to boost their speed in simulations. However, unlike application simulation, the code generated for systems simulation is still slow because the simulator must replicate all of the functions of the target hardware. Embedded systems, which focus on providing one or a few functions, utilize only a small portion of the processor's features most of the time. For example, they may use a Memory Management Unit (MMU) in a processor to map physical memory to effective addresses, but they may not need paged memory support as in an OS. We can exploit this to specialize the dynamically translated code for more performance. We built a specialization framework on top of a functional simulator with a dynamic binary translator. Using the framework, we implemented three specializers for an MMU, bi-endianness, and register banks. Experiments with the EEMBC1.1 benchmark showed that the speed of the specialized code was up to 39% faster than the unspecialized code.