On-line transducers are an important class of computational agent; we construct and compose together many software systems using them, such as stream processors, layered network protocols, DSP networks and graphics pipelines. We show an interesting use of continuations, that, when taken in a CPS setting, exposes the control flow of these systems. This enables a CPS-based compiler to optimise systems composed of these transducers, using only standard, known analyses and optimisations. Critically, the analysis permits optimisation across the composition of these transducers, allowing efficient construction of systems in a hierarchical way.

We describe an s-expression based syntax-extension framework much like Scheme macros, with a key additional facility: the ability to define static semantics, such as type systems or program analysis, for the new, user-defined forms or embedded languages, thus allowing us to construct “towers ” of language levels. In addition, the static semantics of the languages at two adjacent levels in the tower can be connected, allowing improved reasoning power at a higher (and perhaps more restricted) level to be reflected down to the static semantics of the language level below. We demonstrate our system by designing macros for an assembly language, together with some example static analyses (termination analysis, type inference and control-flow analysis).

Existing macro systems force programmers to make a choice between clarity of specification and robustness. If they choose clarity, they must forgo validating significant parts of the specification and thus produce low-quality language extensions. If they choose robustness, they must write in a style that mingles the implementation with the specification and therefore obscures the latter. This paper introduces a new language for writing macros. With the new macro system, programmers naturally write robust language extensions using easy-to-understand specifications. The system translates these specifications into validators that detect misuses—including violations of context-sensitive constraints— and automatically synthesize appropriate feedback, eliminating the need for ad hoc validation code.